AI & MACHINE LEARNING
TALENT SOLUTIONS
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Specialist Focus Areas
At Harnham, we specialize in the following key areas within Artificial Intelligence (AI) and Machine Learning (ML):
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- AI Architecture: Professionals who design and oversee the implementation of AI solutions.
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- AI Engineering: Delivering top-tier AI talent to drive innovation and success for your business.
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- Generative AI Engineering: Supplying expert talent to accelerate innovation and growth in your business.
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- ML Applied Data Science: Skilled machine learning professionals to fuel cutting-edge advancements.
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- Machine Learning Deployment: Data professionals deploying ML models efficiently and effectively in production environments.
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- Machine Learning Engineering: Consutlants with analytical abilities and practical experience developing and implementing machine learning models.
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- ML Ops: Bridging the gap between machine learning development and operational deployment, ensuring scalable, efficient, and reliable machine learning systems.
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- ML Platform Engineering: Developing, managing, and optimizing the platforms that underpin successful ML operations.
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- Natural Language Processing and Large Language Models: Navigate the complexities of Natural Language Processing and Large Language Model roles, ensuring we source candidates who are both highly skilled and a perfect fit for your organization.
WHY
HARNHAM?
Technical Expertise and Deep Industry Knowledge
With over 20 years of experience in the field, our team at Harnham is well-versed in the latest developments in AI and Machine Learning. We stay current with industry trends, technologies, and methodologies, ensuring we can source and place candidates who are proficient in advanced AI techniques such as neural networks, deep learning, reinforcement learning, and natural language processing. Our knowledge extends to various AI frameworks and tools like TensorFlow, PyTorch, Keras, and Scikit-Learn, allowing us to accurately assess technical skills and match candidates to roles that require specialized expertise. Our Data & Artificial Intelligence Recruitment Agency leverages this expertise to connect businesses with top-tier AI talent.
Data-Driven Recruitment Process
Our recruitment process is underpinned by data-driven insights and analytics, which enable us to identify high-potential candidates quickly and efficiently. We use sophisticated AI-driven tools to analyze resumes, predict candidate success, and match the right talent to the right roles. This approach not only speeds up the hiring process but also increases the accuracy of our placements, ensuring a higher success rate for both candidates and clients.
Comprehensive Market Analysis and Talent Mapping
We provide in-depth market analysis and talent mapping services to help you understand the competitive landscape and the availability of key skills in the market. Our detailed reports offer insights into salary benchmarks, skill demand, and talent supply, enabling you to make informed decisions about your recruitment strategies. This comprehensive approach ensures you stay ahead in the competitive AI and ML talent market.
Global Network with Local Expertise
Our global reach allows us to tap into a vast pool of AI and ML talent across multiple regions, while our local market knowledge ensures we understand the specific recruitment dynamics of each area. This dual perspective enables us to deliver tailored recruitment solutions that meet both global standards and local requirements, ensuring a seamless fit for your organization.
OUR
SERVICES
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Permanent Recruitment
We specialize in identifying and securing long-term talent who will become integral members of your AI and ML teams. Our permanent recruitment solutions focus on finding professionals who align with your company’s culture and strategic goals, ensuring they make lasting contributions. As an artificial intelligence recruitment agency, we leverage our deep industry knowledge and technical expertise to match you with candidates who can drive your AI initiatives forward.
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Contract Recruitment
Our contract recruitment services offer the flexibility to scale your workforce according to project demands. We provide access to highly skilled AI and ML professionals for temporary or project-based engagements, allowing you to adapt quickly to changing needs. This approach ensures you have the right talent at the right time, supported by our vast network and extensive market insights.
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Executive Search
We conduct specialized searches for senior and executive-level roles in AI and ML, ensuring your leadership team has the vision and expertise to drive your strategic initiatives. Our executive search services focus on finding leaders who can transform your AI and ML capabilities. With over two decades of experience, our artificial intelligence recruitment agency has the recruitment expertise to identify and engage top-tier professionals for your executive team.
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Customized Talent Consulting
Beyond traditional recruitment, we offer customized talent consulting services to optimize your hiring strategies. Our services include:
- Talent Mapping: Identifying the ML skills and AI expertise available in the market.
- Competitive Analysis: Understanding how your recruitment strategies compare with industry standards.
- Strategic Workforce Planning: Developing a roadmap for future talent acquisition.
- Recruitment Strategy Development: Crafting bespoke strategies to attract and retain top AI and ML talent.
Our comprehensive approach ensures that your recruitment efforts are aligned with your business objectives and market demands.
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Partner with Harnham
Discover how Harnham’s specialized recruitment services can empower your AI and ML projects and enhance your organization’s capabilities. As a leading artificial intelligence recruitment agency, we offer tailored solutions designed to meet your strategic objectives. Contact us today to learn more about how we can support your AI and machine learning recruitment needs.
JOBS
LATEST AI and Machine Learning
JOBS
Senior Data Scientist
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior Data Scientist (Contract)
London (Hybrid or Remote)
This is an opportunity to join an early-stage AI business tackling a complex, real-world data challenge. As a Senior Data Scientist, you will take ownership of building production-ready classification and inference models across large industrial datasets, helping establish modelling standards and best practices from the ground up.
The Company
They are an AI-focused organisation developing a data-driven understanding of global industrial systems. Their work combines advanced data science, machine learning, and domain expertise to create structured intelligence from complex, fragmented datasets. Operating at an early stage, they offer the chance to have a direct impact on both technical direction and product development.
The Role and Deliverables
- Profile, explore, and assess complex industrial datasets, including facilities, supply chains, and product information.
- Establish robust modelling foundations through baseline creation, evaluation set design, and metric definition.
- Build and deploy production classification models and matching or inference models.
- Measure, document, and communicate model performance, including error rates and error analysis.
- Apply LLMs appropriately for tasks such as extraction, constrained labelling, and code generation, supported by rigorous evaluation frameworks.
- Contribute independent technical judgement and help define modelling standards within the organisation.
Your Skills & Experience
- Strong experience building and deploying machine learning models into production environments where accuracy and reliability are critical.
- Advanced Python skills, including hands-on experience with pandas and scikit-learn.
- Strong statistical reasoning and a structured approach to model evaluation and validation.
- Ability to clearly explain model performance, evaluation methodology, and known failure modes.
- Experience designing and maintaining evaluation frameworks for machine learning models.
- Experience building LLM-powered workflows with genuine evaluation and monitoring processes is highly desirable.
- Comfortable working autonomously in a fast-paced environment with a high degree of ownership.
How to Apply
If you are a hands-on Senior Data Scientist with proven experience delivering production machine learning solutions, apply today to discuss this contract opportunity in more detail.
To Apply for this Job Click Here
Director, Analytics Engineering
$200 - $230
+ Advanced Analytics & Marketing Insights
PermanentUSA
To Apply for this Job Click Here
Director of Analytics
Lead the Future of Data, Analytics & Business Intelligence
Are you a hands-on analytics leader who thrives on building scalable data platforms, leading high-performing teams, and delivering analytics products that drive real business impact? We are seeking an experienced Director of Analytics to define and execute the vision for a modern enterprise analytics ecosystem that serves both internal stakeholders and external customers at scale.
This is a unique opportunity for a builder and strategist who has personally delivered production-grade analytics solutions and is passionate about transforming data into competitive advantage. You’ll lead a talented analytics engineering team while remaining deeply involved in architecture, platform design, governance, and technical decision-making.
The Opportunity
As Director of Analytics, you will own the strategy, architecture, and execution of a large-scale analytics platform that supports reporting, self-service analytics, data-driven decision-making, and embedded analytical experiences.
This is not a management-only role. We are looking for a technical leader who has built data pipelines, designed semantic models, developed client-facing analytics products, and understands the challenges of delivering reliable analytics in complex environments.
What You’ll Lead
Analytics Platform Strategy & Delivery
- Define and execute a long-term analytics and business intelligence roadmap.
- Lead the end-to-end delivery of data products across ingestion, warehousing, modeling, visualization, and embedded analytics.
- Design scalable, client-facing analytics experiences and self-service reporting capabilities.
- Establish standards for data lifecycle management, governance, and platform reliability.
- Ensure analytics products align with business objectives and user needs.
Technical Leadership
- Serve as the senior authority on analytics architecture, data modeling, warehouse design, and business intelligence strategy.
- Provide hands-on guidance on data pipelines, performance optimization, cloud architecture, and cost management.
- Champion modern analytics engineering practices including CI/CD, version control, testing, automation, and infrastructure-as-code.
- Drive innovation while balancing scalability, maintainability, and operational excellence.
- Evaluate emerging technologies and determine where they add meaningful value.
Team Leadership & Development
- Build, mentor, and lead a high-performing analytics engineering organization.
- Foster a culture of ownership, technical excellence, collaboration, and continuous improvement.
- Recruit top-tier analytics and data engineering talent.
- Establish career development frameworks, technical mentorship programs, and succession planning.
- Partner closely with engineering, product, operations, and business leaders.
Data Governance & Operations
- Implement governance frameworks covering security, access controls, compliance, lineage, quality, and observability.
- Define and monitor service level expectations for data availability, freshness, and platform performance.
- Establish operational best practices that ensure reliability and trust in analytics assets.
- Build monitoring and alerting capabilities across the analytics ecosystem.
Executive & Stakeholder Partnership
- Translate business strategy into scalable analytics capabilities.
- Communicate complex technical concepts to executive and non-technical audiences.
- Act as a trusted advisor on analytics strategy, data architecture, and reporting solutions.
- Influence cross-functional decision-making through data and insight.
What We’re Looking For
Leadership Experience
- 10+ years of experience in analytics engineering, data engineering, business intelligence, or related technical disciplines.
- 5+ years leading and developing high-performing analytics or data engineering teams.
- Proven success delivering enterprise-scale analytics platforms and data products.
- Strong experience recruiting, mentoring, and retaining technical talent.
- Demonstrated ability to balance strategic leadership with hands-on technical involvement.
Technical Expertise
- Deep experience with modern cloud-based data warehousing and analytics architectures.
- Advanced SQL expertise, including performance tuning and large-scale data modeling.
- Strong knowledge of business intelligence and visualization platforms such as Looker, Tableau, or Power BI.
- Experience with semantic modeling, self-service analytics, and governed reporting environments.
- Expertise in Python for data engineering, automation, and analytics workflows.
- Familiarity with data transformation, orchestration, and pipeline development tools.
- Understanding of modern software engineering practices including Git, CI/CD, DevOps, and infrastructure automation.
- Experience working across cloud environments such as AWS, Azure, and/or GCP.
Governance & Performance
- Experience implementing enterprise data governance frameworks.
- Knowledge of security, compliance, data quality, observability, and monitoring practices.
- Strong background in system optimization, scalability, and performance management.
Communication & Leadership Style
- Outstanding communication and stakeholder management skills.
- Ability to influence executives, technical teams, and business leaders alike.
- Strategic thinker with a builder’s mindset.
- Comfortable operating in fast-changing environments and making informed decisions amid ambiguity.
- Passionate about using data to drive measurable business outcomes.
Preferred Qualifications
- Experience building customer-facing or embedded analytics products.
- Expertise supporting multi-tenant analytics environments.
- Knowledge of infrastructure-as-code and containerization technologies.
- Exposure to AI and machine learning-enabled analytics solutions.
- Advanced degree in Data Science, Computer Science, Mathematics, Engineering, or a related quantitative discipline.
To Apply for this Job Click Here
Senior Manager, Full-Stack AI Engineering
Houston
$190000 - $210000
+ Data Engineering
PermanentHouston, Texas
To Apply for this Job Click Here
Senior Manager, Full-Stack Engineering
$190,000-$210,000
4 days/week on-site in Houston or Austin
Overview
A growing technology-driven organisation is seeking a Senior Manager, Full-Stack AI Engineering to lead a small team of engineers delivering AI-powered software solutions. This is a highly hands-on leadership position, with the majority of time spent contributing directly to architecture, development, and delivery while also managing and developing engineers.
The ideal candidate brings a strong full-stack engineering background and has successfully transitioned into AI-focused application development. This individual should have practical experience deploying large language model (LLM) solutions, generative AI capabilities, retrieval-augmented systems, agent-based architectures, and AI-assisted software development workflows in production environments.
This role partners closely with product, data, and AI stakeholders to deliver enterprise-scale applications while establishing engineering excellence across the team.
Key Responsibilities
Technical Leadership & Delivery
- Lead the design, development, and deployment of production-grade AI-enabled applications.
- Contribute directly to coding, architecture, solution design, and technical delivery across multiple initiatives.
- Build and support end-to-end solutions spanning frontend applications, backend services, APIs, data integration pipelines, and AI-powered features.
- Provide technical direction on AI integration patterns, system architecture, cloud-native solutions, and software engineering best practices.
- Conduct architecture reviews, code reviews, and technical design discussions.
- Ensure scalability, maintainability, security, and operational excellence across delivered solutions.
Team Management
- Manage and mentor a team of software engineers across multiple workstreams.
- Conduct performance reviews, regular coaching sessions, and career development planning.
- Foster a culture of accountability, collaboration, continuous learning, and delivery excellence.
- Participate in hiring, onboarding, and talent development activities.
Engineering Standards & Quality
- Establish and enforce standards for coding, testing, documentation, security, and release management.
- Promote responsible use of AI-assisted development tools and establish best practices for their adoption.
- Evaluate emerging engineering and AI development tools to improve team effectiveness and software quality.
- Ensure AI-generated code meets the same standards as manually authored code.
Cross-Functional Collaboration
- Partner with product leaders, data teams, AI specialists, and business stakeholders to prioritise and deliver solutions.
- Communicate technical risks, dependencies, and delivery expectations effectively.
- Contribute to planning, estimation, and process improvement initiatives.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
- 10+ years of software engineering experience with substantial full-stack development expertise.
- 5+ years of engineering leadership or people management experience.
- Demonstrated experience hiring, mentoring, and developing software engineering talent.
- Strong experience with modern full-stack technologies, including:
- Frontend frameworks such as React or Angular.
- Backend development using Java, Python, Go, or similar languages.
- Python frameworks such as FastAPI, Django, or Flask.
- Experience delivering AI-enabled or data-intensive applications in production environments.
- Practical experience integrating LLMs, generative AI solutions, AI workflows, or related technologies into software products.
- Experience defining engineering standards covering code quality, testing, documentation, and security.
- Experience implementing and governing AI-assisted coding workflows using tools such as Claude Code, Codex, Augment Code, or comparable platforms.
- Strong understanding of CI/CD, cloud-native architectures, deployment automation, and infrastructure-as-code.
- Experience managing multiple projects or delivery workstreams simultaneously.
- Ability to assess architecture quality, coding standards, technical complexity, and delivery risk.
- Excellent communication and stakeholder management skills.
Preferred Qualifications
- Experience building production solutions using retrieval-augmented generation (RAG), agent-based AI frameworks, and LLM-powered applications.
- Experience with modern cloud platforms, particularly AWS.
- Experience working with large-scale data platforms, lakehouse environments, or analytics ecosystems.
- Experience partnering with data scientists, ML engineers, and product teams in agile delivery environments.
- Prior experience in startup, scale-up, or small-to-mid-sized engineering environments.
- Background leading highly technical teams while remaining an active individual contributor.
Work Model / Location / Engagement Details
- Full-time permanent position.
- Remote-flexible within commuting distance of a major office location in the Southern United States.
- Candidates must reside within approximately 50 miles of the designated office region.
- In-office attendance required approximately 4 days per month.
- Occasional travel expected (approximately 20% to 30%).
- Compensation up to $210,000 base salary plus target bonus of 25%.
To Apply for this Job Click Here
Senior Azure Cloud Engineer
Birmingham
£70000 - £80000
+ Data Engineering
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Senior Azure Cloud Engineer
Up to £80,000
Oxfordshire (Hybrid – 1 day per week)
This is a great opportunity to join a high‑growth organisation where you can take ownership of designing and delivering cloud infrastructure within a fully Azure-native environment.
THE COMPANY:
This is a consultancy-led technology business delivering innovative cloud and AI-driven solutions across multiple industries. The organisation partners closely with clients to deliver complex transformation programmes with real, measurable outcomes. The business operates at the intersection of consulting and technology, combining deep domain expertise with modern cloud engineering to drive innovation, efficiency, and growth across its client base.
THE ROLE:
You will take ownership of Azure cloud architecture and engineering across the business, acting as the technical authority within a small but highly impactful cloud function.
Key responsibilities include:
- Designing, building, and maintaining Azure cloud infrastructure
- Acting as a subject matter expert, providing architectural guidance and solution design
- Supporting internal consultants with cloud solutioning and infrastructure recommendations
- Building and managing cloud resources (VMs, SQL Servers, Web Apps, Docker environments)
- Developing and maintaining CI/CD pipelines using Azure DevOps and GitHub
- Driving a code-first approach with Infrastructure-as-Code and automation
- Leading on cloud integrations, including Azure Integration Services
- Supporting governance, security, compliance, backup, and recovery processes
- Contributing to AI-driven and innovation-focused internal projects
- Mentoring junior engineers and setting technical standards across the team
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Hands-on Microsoft Azure engineering and architecture
- Designing scalable, secure cloud solutions end-to-end
- Infrastructure-as-Code (ideally Bicep or Terraform)
- Building and managing CI/CD pipelines (Azure DevOps / GitHub Actions)
- Cloud automation using PowerShell and Azure CLI
- Strong stakeholder engagement and communication skills
- Security, governance, and compliance within cloud environments
THE BENEFITS:
You will receive a salary up to £80,000 depending on experience, along with a comprehensive benefits package
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Growth and Product Analytics Lead
London
£100000 - £180000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Growth and Product Analytics Lead
London (Office-based – 5 days per week)
Salary: Up to £180,000 + Excellent Benefits
A high-growth technology business is looking for a Growth Analytics Lead to join, working directly with the CEO and senior leadership team to drive strategic, data-led decision making.
This is a rare opportunity for a commercially minded analytics leader to own the insights behind growth, product and go-to-market strategy. Rather than producing reports or dashboards, you’ll identify opportunities, build solutions, influence business decisions and measure their impact.
What you’ll be doing
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Own analytics across product, commercial and growth initiatives
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Identify opportunities to improve customer activation, adoption and retention
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Deliver insights on pricing, monetisation and expansion opportunities
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Design and analyse product experiments
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Build robust analytics using SQL, dbt and modern data platforms
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Translate complex data into clear recommendations for senior stakeholders
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Partner closely with leadership to shape company strategy
What we’re looking for
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Strong experience in Growth, Product or Commercial Analytics
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Hands-on technical skills with SQL and modern analytics tools
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Proven ability to influence commercial outcomes through data
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Experience within a high-growth SaaS or technology environment
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Excellent communication and stakeholder management skills
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Comfortable working autonomously in a fast-paced, ambiguous environment
What’s on offer
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Salary up to £180,000
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Comprehensive benefits package
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Direct exposure to the CEO and executive leadership
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Significant ownership and autonomy
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Opportunity to shape the growth strategy of a rapidly scaling technology business
If you’re a commercially focused analytics professional who enjoys solving complex business problems and wants to make a measurable impact in a high-growth environment, we’d love to hear from you.
Find out more and apply via the link below!
To Apply for this Job Click Here
Azure Cloud Engineer
Birmingham
£50000 - £60000
+ Data Engineering
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Azure Cloud Engineer
Up to £60,000
Oxfordshire (Hybrid – 1 day per week)
This is a great opportunity to join a high‑growth organisation where you can take ownership of designing and delivering cloud infrastructure within a fully Azure-native environment.
THE COMPANY:
This is a consultancy-led technology business delivering innovative cloud and AI-driven solutions across multiple industries. The organisation partners closely with clients to deliver complex transformation programmes with real, measurable outcomes. The business operates at the intersection of consulting and technology, combining deep domain expertise with modern cloud engineering to drive innovation, efficiency, and growth across its client base.
THE ROLE:
You will take ownership of Azure cloud architecture and engineering across the business, acting as the technical authority within a small but highly impactful cloud function.
Key responsibilities include:
- Designing, building, and maintaining Azure cloud infrastructure
- Acting as a subject matter expert, providing architectural guidance and solution design
- Supporting internal consultants with cloud solutioning and infrastructure recommendations
- Building and managing cloud resources (VMs, SQL Servers, Web Apps, Docker environments)
- Developing and maintaining CI/CD pipelines using Azure DevOps and GitHub
- Driving a code-first approach with Infrastructure-as-Code and automation
- Leading on cloud integrations, including Azure Integration Services
- Supporting governance, security, compliance, backup, and recovery processes
- Contributing to AI-driven and innovation-focused internal projects
- Mentoring junior engineers and setting technical standards across the team
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Hands-on Microsoft Azure engineering and architecture
- Designing scalable, secure cloud solutions end-to-end
- Infrastructure-as-Code (ideally Bicep or Terraform)
- Building and managing CI/CD pipelines (Azure DevOps / GitHub Actions)
- Cloud automation using PowerShell and Azure CLI
- Strong stakeholder engagement and communication skills
- Security, governance, and compliance within cloud environments
THE BENEFITS:
You will receive a salary up to £60,000 depending on experience, along with a comprehensive benefits package
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Principal Data Scientist
$200000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Principal Data Scientist
Remote | Salary up to $220,000 + 15% bonus
This is an opportunity to step into a senior, high-impact Principal Data Scientist role where you will shape the direction of advanced AI and data science initiatives at scale. You will work on commercially meaningful problems, leveraging cutting-edge techniques including generative AI, while influencing both strategy and delivery across a globally recognised platform.
The Company
They are a well-established, innovation-led organisation focused on delivering data-driven products at scale. With a strong investment in AI and advanced analytics, they partner closely across product, engineering, and design to create impactful, user-focused solutions. Their teams are highly collaborative and operate in a modern, fully remote environment that encourages autonomy and technical excellence.
The Role
- Lead the design and implementation of advanced data science and AI solutions aligned to business objectives
- Provide technical leadership across complex projects, setting direction and best practice for modelling and deployment
- Collaborate with cross-functional stakeholders to identify opportunities and define requirements
- Apply generative AI and other advanced methodologies to solve real-world problems
- Translate technical findings into clear, actionable insights for senior stakeholders
- Oversee project timelines and ensure successful delivery across multiple workstreams
Your Skills and Experience
- Strong commercial experience in data science and machine learning, with recognised expertise in a specialist area
- Deep understanding of production-level AI systems and recent exposure to generative AI techniques
- Proven ability to lead complex projects end to end, from concept through to deployment
- Experience working cross-functionally with product, engineering, or business teams
- Clear and collaborative communication style, with the ability to influence senior stakeholders
- Background in a quantitative or technical field such as Data Science, AI, Mathematics, or similar
What They Offer
- Salary up to $220,000 with a 15% performance bonus
- Fully remote working with flexibility and autonomy
- Opportunity to work on high-impact AI initiatives at scale
- Collaborative, forward-thinking technical environment
- Clear scope for progression into broader technical or strategic leadership roles
How to Apply
If you’re interested in exploring this Principal Data Scientist opportunity, apply now for a confidential discussion.
To Apply for this Job Click Here
Azure Cloud Engineer
Birmingham
£50000 - £60000
+ Data Engineering
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Azure Cloud Engineer
Up to £60,000
Oxfordshire (Hybrid – 1 day per week)
This is a great opportunity to join a high‑growth organisation where you can take ownership of designing and delivering cloud infrastructure within a fully Azure-native environment.
THE COMPANY:
This is a consultancy-led technology business delivering innovative cloud and AI-driven solutions across multiple industries. The organisation partners closely with clients to deliver complex transformation programmes with real, measurable outcomes. The business operates at the intersection of consulting and technology, combining deep domain expertise with modern cloud engineering to drive innovation, efficiency, and growth across its client base.
THE ROLE:
You will take ownership of Azure cloud architecture and engineering across the business, acting as the technical authority within a small but highly impactful cloud function.
Key responsibilities include:
- Designing, building, and maintaining Azure cloud infrastructure
- Acting as a subject matter expert, providing architectural guidance and solution design
- Supporting internal consultants with cloud solutioning and infrastructure recommendations
- Building and managing cloud resources (VMs, SQL Servers, Web Apps, Docker environments)
- Developing and maintaining CI/CD pipelines using Azure DevOps and GitHub
- Driving a code-first approach with Infrastructure-as-Code and automation
- Leading on cloud integrations, including Azure Integration Services
- Supporting governance, security, compliance, backup, and recovery processes
- Contributing to AI-driven and innovation-focused internal projects
- Mentoring junior engineers and setting technical standards across the team
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Hands-on Microsoft Azure engineering and architecture
- Designing scalable, secure cloud solutions end-to-end
- Infrastructure-as-Code (ideally Bicep or Terraform)
- Building and managing CI/CD pipelines (Azure DevOps / GitHub Actions)
- Cloud automation using PowerShell and Azure CLI
- Strong stakeholder engagement and communication skills
- Security, governance, and compliance within cloud environments
THE BENEFITS:
You will receive a salary up to £60,000 depending on experience, along with a comprehensive benefits package
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Senior AI Product Engineer
San Francisco
$175000 - $250000
+ Digital Analytics
PermanentSan Francisco, California
To Apply for this Job Click Here
Senior AI Product Engineer
San Francisco Bay Area (Hybrid | 3 days onsite) Compensation: Up to $250,000 Base + Equity
Build AI Products That Reach Real Users
We’re looking for an experienced AI Product Engineer to help build and scale the next generation of AI-powered products.
This is a hands-on role for someone who thrives at the intersection of software engineering, product thinking, and applied AI. You’ll work across the full life cycle of intelligent systems, from initial concept and prototyping to production deployment, evaluation, and continuous improvement.
If you’ve successfully shipped AI-powered features that deliver measurable value to users and enjoy solving complex problems with both technical depth and customer empathy, we’d love to meet you.
What You’ll Do
- Design, build, and deploy production-grade AI applications and agentic systems
- Partner closely with product, engineering, and leadership teams to identify high-impact opportunities for AI
- Own features end-to-end, from architecture and implementation through monitoring and optimization
- Develop robust evaluation frameworks to measure quality, reliability, and business impact
- Continuously improve system performance through experimentation, testing, and iteration
- Help establish best practices for building scalable, maintainable AI products
- Contribute to a collaborative engineering culture focused on learning, innovation, and execution
What We’re Looking For
Required Qualifications
- Experience building and shipping customer-facing AI products into production
- Strong software engineering foundation with experience in backend or full-stack development
- Experience working with LLM-powered applications, agentic systems, or AI-driven workflows
- Proficiency in Python and/or TypeScript
- Experience evaluating, debugging, and improving AI system performance
- Ability to make thoughtful technical decisions and communicate trade-offs clearly
- Strong ownership mindset with a track record of delivering impactful products
Preferred Qualifications
- Experience with Retrieval-Augmented Generation (RAG)
- Familiarity with agent frameworks, orchestration platforms, or AI infrastructure tools such as LangChain, AWS Bedrock, LlamaIndex, or similar technologies
- Experience operating AI systems at scale in production environments
- Startup or high-growth company experience
What Success Looks Like
The strongest candidates have:
- Built AI-powered products that moved beyond prototype and reached real users
- Demonstrated ownership of both product outcomes and technical execution
- Experience creating evaluation and feedback loops that improve model quality over time
- A track record of balancing speed with thoughtful engineering decisions
- The ability to clearly explain what they built, why they built it, and what they learned along the way
Leveling
We are hiring at multiple levels based on experience and impact:
- Senior AI Product Engineer: Approximately 4-6 years of experience
- Senior AI Product Engineer II: Approximately 6-8 years of experience
Why Join?
- Work on cutting-edge AI products with meaningful user impact
- High ownership and influence on technical direction
- Competitive compensation package including equity
- Opportunity to help define how AI is integrated into real-world applications
- Collaborate with a team that values curiosity, execution, and continuous learning
To Apply for this Job Click Here
Senior AI Engineer
London
£80000 - £100000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior AI Engineer – Remote
Join a growing AI team building production-grade machine learning and generative AI solutions that solve complex real-world challenges. This is an opportunity to combine AI research, engineering, and innovation in a highly autonomous role.
The Company
They are a technology business investing heavily in AI, with a focus on developing advanced machine learning, generative AI, and agentic systems. The environment is research-led, collaborative, and focused on turning cutting-edge ideas into scalable products.
The Role
- Design and deploy machine learning, deep learning, and LLM-based solutions
- Build RAG pipelines, agentic AI systems, and model evaluation frameworks
- Work across the full AI lifecycle from problem definition to deployment
- Apply both classical ML techniques and modern AI approaches
- Use AI-assisted development tools such as Claude Code, Codex, or similar
- Help shape technical direction and mentor other engineers
Your Skills & Experience
- Strong commercial experience across machine learning and generative AI
- Hands-on expertise with Python, PyTorch, Scikit-learn, and Hugging Face
- Experience building production AI systems and MLOps pipelines
- Practical use of AI coding assistants and agentic engineering workflows
- Ability to own projects independently from concept to delivery
- MSc required, PhD advantageous
To Apply for this Job Click Here
Director of AI
Los Angeles
$230000 - $400000
+ Data Science & AI
PermanentLos Angeles, California
To Apply for this Job Click Here
Senior AI/ML Engineer – Foundation Models & Agentic AI
Life Sciences AI | Biotech / Therapeutics / Computational Biology
What You’ll Work On
- Develop and train proprietary foundation models on multi-omics data (genomics, transcriptomics, proteomics, metabolomics)
- Design novel algorithms to integrate and differentiate across omics modalities
- Own the full training pipeline: data ingestion, tokenization, pretraining, and evaluation
- Push the state of the art – we are building models that do not exist yet
Agentic AI for Life Sciences
- Build and deploy AI agents that assist researchers across therapeutic development, computational chemistry, and biology
- Design multi-agent architectures using LangChain, LangGraph, and custom orchestration layers
- Integrate agents with internal databases, experimental systems, and third-party scientific tools
- Develop agentic workflows for use cases in cosmetics R&D, drug discovery, and clinical analysis
Production ML Infrastructure
- Own model deployment, scaling, and serving infrastructure
- Optimize inference using NVIDIA TensorRT-LLM, Dynamo, Triton, and related tooling
- Partner with software engineering on integration into our broader platform
- Maintain reliability, performance, and observability across deployed models
What We’re Looking For
Required
- Strong hands-on ML/AI engineering experience – you write real code, not just direct others
- Deep proficiency in Python and PyTorch – this is non-negotiable
- Experience training, fine-tuning, and deploying foundation models from scratch or from pretrained checkpoints
- Familiarity with the Hugging Face ecosystem (Transformers, Datasets, PEFT, Accelerate)
- Experience with LangChain and/or LangGraph for agentic pipeline development
- Working knowledge of the NVIDIA stack: TensorRT-LLM, Triton Inference Server, Dynamo
- Comfort with large-scale distributed training tools: DeepSpeed, xFormers
- Strong understanding of state-of-the-art model architectures (transformers, SSMs, diffusion, etc.)
- Ability to collaborate across technical and non-technical teams – bio, chem, software, clinical
- Excellent communication skills – you can explain a training run to a chemist
Strongly Preferred
- Experience with omics data (any modality: genomic, proteomic, transcriptomic, metabolomic)
- Background in computational biology, computational chemistry, or bioinformatics
- Prior work in biotech, pharma, or life sciences AI (not required but a plus)
- Experience building or contributing to multi-agent systems in a production environment
- Track record of independent research or open-source contributions in ML
Technical Skills Summary
Core ML / Training
- PyTorch – primary framework
- DeepSpeed – distributed training and ZeRO optimization
- xFormers – memory-efficient attention and transformer components
- Hugging Face Transformers, PEFT, Accelerate
- Training and fine-tuning large language and multimodal models
Inference & Deployment
- NVIDIA TensorRT-LLM – high-performance LLM inference
- NVIDIA Dynamo – inference orchestration and scheduling
- Triton Inference Server – model serving and batching
- Model quantization, distillation, and latency optimization
Agentic & Orchestration
- LangChain / LangGraph – agent design and multi-agent orchestration
- Tool-use, RAG pipelines, and memory systems
- API and system integration across scientific data sources
To Apply for this Job Click Here
Clinical Data Scientist
San Francisco
$160000 - $190000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Clinical Data Scientist
San Francisco, California
Remote
$160,000 – $190,000 + Equity
About the Company
This innovative health tech startup is working to improve the oncology drug development process by providing better patient data to drug developers as well as better access to clinical trials for patients. This series B startup is expending to meet demand.
About the Role
As a Clinical Data Scientist, you’ll execute the last leg of the clinical data pipeline by transforming, cleaning, validating, and delivering high‑quality clinical datasets for pharma partners. Heavy collaboration with Clinical Ops, AI Engineering, and Data Delivery.
Role Responsibilities
- Transform raw, abstracted, and AI‑processed data into CDISC SDTM/ADaM datasets
- Program statistical outputs (tables, listings, figures) in SAS/R/Python
- Investigate data anomalies across multiple messy data inputs
- Define data dictionaries and standards before study kickoff
- Handle data in a HIPAA‑aligned manner
Key Requirements
- 2-5 years in clinical data science, stat programming, or clinical data management
- Pharma/Biotech experience
- SAS, R, Python, SQL
- Real‑world clinical data or oncology trials
- CDISC SDTM/ADaM
To Apply for this Job Click Here
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