ML DEPLOYMENT
TALENT SOLUTIONS
Our recruitment expertise is specifically tailored for Machine Learning Deployment jobs, recognizing the critical importance of these positions in the successful operationalization of machine learning models. We focus on sourcing professionals who are skilled in navigating the complexities of deploying ML models efficiently and effectively in production environments.
Leveraging our global presence, Harnham has access to a diverse and extensive machine learning and data talent pool, enabling us to find data candidates with the specific skill sets required for Machine learning Deployment jobs. Our local market insights across key regions ensure that we provide candidates who not only meet the technical qualifications but also align with your company’s cultural and operational dynamics.
WHY
HARNHAM?
Our deep-rooted experience in data recruitment positions us as the go-to authority in sourcing talent for ML Deployment roles, ensuring we connect you with candidates capable of transforming your machine learning initiatives into successful, scalable solutions.
We prioritize a deep understanding of your organization’s unique ML Deployment needs, enabling us to deliver precisely matched talent solutions, aligned with your specific technical and strategic requirements.
Harnham’s team of hundreds of recruitment specialists across key global locations brings unparalleled staffing solutions, tailored to the specific needs of your organization, irrespective of the industry.
OUR
SERVICES
- Permanent Recruitment: We identify long-term talent for your ML Deployment team, focusing on professionals who can integrate and grow with your organizational goals.
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- Contract Recruitment: Our contract recruitment services provide the agility to meet your immediate ML Deployment needs with highly skilled temporary professionals.
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- Customized Talent Consulting: We offer bespoke talent consulting services, including talent mapping, market analysis, and strategic workforce planning, to optimize your recruitment strategy and build a robust ML Deployment team.
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Contact us today to discover how our specialized services can help you build a high-performing ML Deployment team and drive your organization's success in the machine learning domain.
JOBS
LATEST mL deployment
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
ML Engineer
Manchester
£70000 - £80000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
ML ENGINEER
UP TO £80,000 + BENEFITS
HYBRID – CHESTER
If you’re an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You’ll be joining a growing organisation at a key moment in its AI journey, with real ownership and influence from day one.
THE COMPANY:
I’m working with a fast-growing business that’s investing heavily in data, AI, and modern cloud platforms to drive smarter commercial decisions and build customer-facing AI products.
With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing.
THE ROLE:
This is the first dedicated ML / AI Engineering hire, sitting at the intersection of Data Science, Engineering, and Product. The role exists to ensure machine learning models are deployable, monitored, retrained, and production-ready as AI initiatives scale across the business.
Key responsibilities include:
- Operationalising ML models, including deployment, monitoring, retraining, and drift detection
- Acting as the bridge between Data Science and Engineering to productionise models
- Supporting a broad range of AI and ML initiatives, including:
- Revenue management and pricing optimisation
- Customer-facing AI products using LLMs and AI agents
- Churn prediction and revenue forecasting
- Defining and implementing ML best practices, CI/CD pipelines, and coding standards
- Improving reliability, scalability, and observability of production ML systems
YOUR SKILLS AND EXPERIENCE:
A successful ML / AI Engineer will bring:
- Hands-on experience deploying and maintaining ML models in production
- Experience with CI/CD in a production environment
- Cloud experience (Azure preferred; Microsoft Fabric exposure is a plus)
- Ability to communicate effectively with Data Scientists and Product teams
- Experience with customer, marketing, or personalisation data is beneficial
THE BENEFITS:
You will receive a salary of 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
Backend Software Engineer (AI)
London
£450 - £550
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Backend Software Engineer
£450 – £550 per day
2 days onsite
We’re working with a global healthcare and AI research organisation that’s pioneering the use of advanced Machine Learning to accelerate the discovery and delivery of life-changing treatments. Their vision is to enable faster, personalised therapies that improve patient outcomes worldwide – and they’re seeking a Backend Software Engineer to help bring that mission to life.
The Role
You’ll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python, integrating AI components with data, compute, and frontend systems to create scalable, high-performance solutions.
Day-to-day responsibilities include:
-
Designing and implementing backend services for Python-based web applications (e.g., FastAPI).
-
Integrating AI and ML components into production systems and APIs.
-
Writing high-quality, well-tested, and well-documented code following best practices.
-
Developing and monitoring metrics to improve system reliability and performance.
-
Collaborating closely with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines.
-
Participating in agile ceremonies and code reviews to uphold quality and delivery standards.
Tech Stack & Skills
Core skills:
-
Strong Python backend development experience (FastAPI or similar frameworks)
-
Cloud-native deployment experience (preferably Google Cloud and Cloud Run)
-
Unit testing experience (pytest or similar frameworks)
-
Familiarity with agile development and CI/CD processes
-
Strong understanding of Git/GitHub workflows and DevOps tooling
Nice to have:
-
Experience with Docker or multi-container application architecture
-
Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen
-
Experience with biological or scientific datasets (genomics, proteomics, etc.)
-
Exposure to frontend development (React preferred)
-
Experience benchmarking and improving AI/ML models or agent-based systems
What You’ll Bring
-
A track record of delivering clean, production-grade backend systems
-
A collaborative and proactive approach to working in cross-functional teams
-
Passion for innovation and applying technology to advance scientific discovery
-
A growth mindset with a focus on continuous learning and improvement
Please send your CV
To Apply for this Job Click Here
Python Engineer
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Python Engineer
£500 – £600 per day
2 days onsite
We’re working with a global healthcare and AI research organisation that’s pioneering the use of advanced Machine Learning to accelerate the discovery and delivery of life-changing treatments. Their vision is to enable faster, personalised therapies that improve patient outcomes worldwide – and they’re seeking a Backend Software Engineer to help bring that mission to life.
The Role
You’ll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python, integrating AI components with data, compute, and frontend systems to create scalable, high-performance solutions.
Day-to-day responsibilities include:
-
Designing and implementing backend services for Python-based web applications (e.g., FastAPI).
-
Integrating AI and ML components into production systems and APIs.
-
Writing high-quality, well-tested, and well-documented code following best practices.
-
Developing and monitoring metrics to improve system reliability and performance.
-
Collaborating closely with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines.
-
Participating in agile ceremonies and code reviews to uphold quality and delivery standards.
Tech Stack & Skills
Core skills:
-
Strong Python backend development experience (FastAPI or similar frameworks)
-
Cloud-native deployment experience (preferably Google Cloud and Cloud Run)
-
Unit testing experience (pytest or similar frameworks)
-
Familiarity with agile development and CI/CD processes
-
Strong understanding of Git/GitHub workflows and DevOps tooling
Nice to have:
-
Experience with Docker or multi-container application architecture
-
Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen
-
Experience with biological or scientific datasets (genomics, proteomics, etc.)
-
Exposure to frontend development (React preferred)
-
Experience benchmarking and improving AI/ML models or agent-based systems
What You’ll Bring
-
A track record of delivering clean, production-grade backend systems
-
A collaborative and proactive approach to working in cross-functional teams
-
Passion for innovation and applying technology to advance scientific discovery
-
A growth mindset with a focus on continuous learning and improvement
Please send your CV
To Apply for this Job Click Here
Director of AI
$300000 - $350000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Director of AI
New York
up to £350,000 + Bonus + Carry
A leading private equity firm is seeking a hands-on Data & AI leader to drive value across its fintech portfolio. This is a high-impact role blending strategy, delivery, and innovation, working directly with deal teams, C-suites, and Boards.
THE ROLE
- Lead AI/data diligence for new investments
- Build and scale a Data & AI practice across portfolio companies
- Co-create AI-enabled value creation plans (VCPs)
- Drive internal AI transformation and platform development
- Represent the firm through thought leadership and industry engagement
REQUIREMENTS
- Proven track record delivering AI/data initiatives in fintech or regulated sectors
- Experience in PE/VC, consulting, or operator roles with value-creation focus
- Deep expertise in:
- LLMs and agent-based architectures
- End-to-end AI/ML development and deployment (MLOps)
- Data governance, privacy, and responsible AI
- Strong commercial acumen and stakeholder influence
- Ability to lead small, high-performing teams
THE BENEFITS
- Competitive base salary + bonus + carried interest
- High-impact, high-visibility role with direct access to investment teams and portfolio leadership
- Opportunity to shape the future of AI in private equity and fintech
- Hybrid working with offices in New York
If you’re interested in shaping the future of AI in private equity, apply now to explore this unique opportunity.
To Apply for this Job Click Here
Senior ML Infrastructure Engineer (Robotics)
London
£600 - £1000
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior ML Infrastructure Engineer (Robotics)
London
Contract, Outside IR35
£600-1000 per day
Primarily onsite
Overview
We are partnering with a robotics and AI company building the core software infrastructure that enables advanced AI models to operate reliably in real-world robotic systems. They are looking for a Senior ML Infrastructure Engineer to design, build, and optimise the training and inference platforms at the heart of their technology.
This is a hands-on engineering role focused on scale, performance, and reliability. You will work across the full machine learning lifecycle, from distributed training pipelines to highly optimised inference systems deployed into production robotics environments.
The Role
You will join a highly technical team working at the intersection of software engineering, machine learning infrastructure, and robotics. Your focus will be on turning cutting-edge models into robust, production-ready systems that run efficiently across cloud and constrained hardware environments.
You will collaborate closely with researchers and ML engineers, help shape architectural decisions, and solve complex systems problems that directly impact real-world deployment.
Key Responsibilities
* Design, build, and maintain distributed ML training pipelines including data preprocessing, orchestration, training, and evaluation
* Optimise training performance, scalability, and resource utilisation across online and offline learning workflows
* Develop and optimise AI inference pipelines for deployment into real-world robotic systems
* Build infrastructure and tooling to support reliable model integration, monitoring, and production analysis
* Implement optimisation strategies across inference paradigms, including autoregressive, denoising, hierarchical, and multi-agent systems
* Work across cloud and hardware constraints to ensure models run efficiently in production
* Contribute to high engineering standards through testing, CI, and robust system design
Required Experience
* Strong software engineering background with Python and or C++
* Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or JAX
* Experience building or maintaining ML infrastructure, training platforms, or inference systems
* Solid understanding of distributed systems, parallel computing, and large-scale data processing
* Strong fundamentals in algorithms, data structures, and system design
Nice to Have
* Experience optimising ML inference for robotics, edge, or embedded systems
* Exposure to low-level systems concepts such as multithreading, networking, or memory management
* Experience with ML performance optimisation or compilers
* Background in reinforcement learning, VLA models, or embodied AI systems
* Experience working in cloud environments such as AWS, GCP, or Azure
Why Apply
* Work on real-world robotics systems rather than research-only models
* Solve complex engineering problems with direct impact on deployed products
* Based in London, with a highly technical, collaborative team
To Apply, Please email:
To Apply for this Job Click Here
Senior Machine Learning Scientist
San Francisco
$180000 - $200000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Senior Machine Learning Scientist
Location: SF Bay Area – Hybrid (3 days/week onsite)
Salary: $180-200k base + Equity
A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Senior Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.
What You’ll Do
- Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
- Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
- Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
- Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
- Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.
What You Bring
- 3+ years of experience building, deploying, and maintaining ML models at scale.
- Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
- Proven track record in consumer tech or large-scale marketplaces companies.
- Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
- Background in user behavior modeling, search relevance, or real-time data systems.
- Strong foundation in experimentation (A/B testing), statistics, and applied ML.
- Exceptional communication skills and the ability to translate technical insights into business value.
- Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.
To Apply for this Job Click Here
Staff Machine Learning Scientist
San Francisco
$200000 - $260000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Staff Machine Learning Scientist
Location: SF Bay Area – Hybrid (3 days/week onsite)
Salary: $200-260k base + Equity
A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.
What You’ll Do
- Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
- Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
- Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
- Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
- Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.
What You Bring
- 7-10 years of experience building, deploying, and maintaining ML models at scale.
- Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
- Proven track record in consumer tech or large-scale marketplaces companies.
- Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
- Background in user behavior modeling, search relevance, or real-time data systems.
- Strong foundation in experimentation (A/B testing), statistics, and applied ML.
- Exceptional communication skills and the ability to translate technical insights into business value.
- Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.
To Apply for this Job Click Here
Principal AI Engineer
New York
$225000 - $250000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Principal AI Engineer
New York, New York – hybrid
$225,000 – $250,000 + bonus + LTI; $500,000-$700,000 total
THE COMPANY
Harnham is partnering with one of the most well known financial services companies, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying cost-saving opportunities. You’ll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment.
RESPONSIBILITIES
-
Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions.
-
Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.
-
Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.
-
Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations.
-
Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.
SKILLS AND EXPERIENCE
-
Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.
-
Over 7 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.
- Enterprise-level application experience, ideally in real-time preferred.
-
Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.
-
Experience as a tech-lead for scaling MLE teams preferred.
- Commercial experience combination of big tech and scaling startups / scrappy environments a plus.
BENEFITS
The compensation package contains a base salary, bonus, LTI and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents
To Apply for this Job Click Here
ML Engineer
Chester
£70000 - £80000
+ Data Science & AI
PermanentChester, Cheshire
To Apply for this Job Click Here
ML ENGINEER
UP TO £80,000 + BENEFITS
HYBRID – CHESTER
If you’re an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You’ll be joining a growing organisation at a key moment in its AI journey, with real ownership and influence from day one.
THE COMPANY:
I’m working with a fast-growing business that’s investing heavily in data, AI, and modern cloud platforms to drive smarter commercial decisions and build customer-facing AI products.
With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing.
THE ROLE:
This is the first dedicated ML / AI Engineering hire, sitting at the intersection of Data Science, Engineering, and Product. The role exists to ensure machine learning models are deployable, monitored, retrained, and production-ready as AI initiatives scale across the business.
Key responsibilities include:
- Operationalising ML models, including deployment, monitoring, retraining, and drift detection
- Acting as the bridge between Data Science and Engineering to productionise models
- Supporting a broad range of AI and ML initiatives, including:
- Revenue management and pricing optimisation
- Customer-facing AI products using LLMs and AI agents
- Churn prediction and revenue forecasting
- Defining and implementing ML best practices, CI/CD pipelines, and coding standards
- Improving reliability, scalability, and observability of production ML systems
YOUR SKILLS AND EXPERIENCE:
A successful ML / AI Engineer will bring:
- Hands-on experience deploying and maintaining ML models in production
- Experience with CI/CD in a production environment
- Cloud experience (Azure preferred; Microsoft Fabric exposure is a plus)
- Ability to communicate effectively with Data Scientists and Product teams
- Experience with customer, marketing, or personalisation data is beneficial
THE BENEFITS:
You will receive a salary of 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
Lead Data Scientist
Leicester
£70000 - £75000
+ Data Science & AI
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
Lead Data Scientist – Leicester (Hybrid)
We’re partnering with a well-established eCommerce organisation based in Leicester that is expanding its data capability. They’re looking for a Technical Lead Data Scientist to play a key role in shaping, delivering, and scaling high-impact data science solutions across the business.
This is a hands-on leadership role where you’ll combine deep technical expertise with the ability to guide teams and influence senior stakeholders.
What you’ll be doing:
- Lead the end-to-end development, deployment, and optimisation of data science projects in a production environment
- Design and build advanced machine learning models using customer data, including churn prediction, customer segmentation, and recommendation systems
- Provide technical leadership and mentorship to data scientists, setting best practices and raising overall capability
- Collaborate closely with stakeholders across the business, from C-suite executives to junior team members, translating complex technical concepts into clear, actionable insights
- Help shape the data science roadmap and contribute to strategic decision-making within the organisation
What we’re looking for
- 4+ years’ commercial experience working as a Data Scientist
- Strong programming skills in Python and SQL, with hands-on experience using PyTorch and TensorFlow
- Proven experience working on customer-focused or personalisation-driven data science problems (e.g. churn, recommendations, segmentation)
- Excellent communication skills, with the confidence to engage and influence both technical and non-technical stakeholders
- Experience leading projects or providing technical direction to others (formal leadership not essential)
To Apply for this Job Click Here
VP AI Engineer
New York
$200000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
VP AI Engineer
$220K base + bonus + RSU
New York or San Francisco
A global financial technology organisation operating at enterprise scale, combining advanced software engineering, data science, and applied AI to modernise large-scale production systems. The company invests heavily in automation, operational excellence, and AI-driven infrastructure, building mission-critical platforms used across complex, high-reliability environments.
Mission
- Design and deploy agentic AI systems to automate and optimise large-scale production environments
- Build LLM-powered solutions that diagnose issues, reason over complex systems, and take secure, auditable actions
- Develop RAG pipelines and domain knowledge systems with strong data quality, feedback loops, and governance
- Productionise LLMs: evaluation frameworks, prompt orchestration, response validation, self-correction loops
- Integrate AI agents with observability, incident management, deployment, and runtime platforms
- Implement safety, reliability, and compliance guardrails (policy enforcement, rollback strategies, circuit breakers)
- Optimise performance, cost, and latency through prompt engineering, caching, routing, batching, and streaming
Profile
- Bachelor’s degree in a quantitative or computational field (Master’s / PhD preferred)
- 7+ years of experience in applied ML, data science, or software engineering in production environments
- Strong hands-on development in Python (or C++ / Java / Go), building large-scale applications
- Practical expertise with LLMs: prompt engineering, fine-tuning/adaptation, RAG, tool-calling agents, vector search
- Experience building secure, explainable, and reliable AI systems with strong governance and auditability
- Comfortable collaborating across engineering, infrastructure, and operations teams with measurable business outcomes
To Apply for this Job Click Here
Principal AI Engineer
Amsterdam
€60000 - €100000
+ Data Science & AI
PermanentNetherlands
To Apply for this Job Click Here
Job Opportunity: Principal AI Engineer | Remote or Hybrid
Location: Remote or Hybrid (HQ in [City])
Role Type: Full-Time
Seniority: Principal / Expert
Start Date: ASAP
About the Company
The company is expanding its AI capabilities to build innovative, intelligent systems that power next-generation products and experiences. With an ambitious roadmap centered on generative AI, advanced machine learning, and large-scale automation, they are seeking a highly experienced Principal AI Engineer to lead technical strategy, guide system architecture, and drive innovation across the organization.
This is a pivotal role that will shape the long-term AI direction, influence key engineering decisions, and deliver solutions that have significant impact on the company’s technical evolution.
The Role
The Principal AI Engineer will act as a hands-on technical leader, responsible for designing, developing, and scaling advanced AI systems. The role involves high-level architectural thinking, applied research, and deep technical execution, including oversight of model development, evaluation, deployment, and optimization.
The successful candidate will collaborate with engineering, data, and product stakeholders to define the AI vision while also mentoring teams and setting engineering standards that enable excellence and innovation.
Key Responsibilities
- Lead the design and development of complex AI systems, including generative AI models, LLM-powered applications, and large-scale machine learning infrastructures.
- Define and drive the company’s AI technical strategy, ensuring alignment with business goals.
- Oversee model experimentation, fine-tuning, evaluation, and deployment into production environments.
- Set best practices for ML engineering, model lifecycle management, security, and governance.
- Provide expert guidance on architecture decisions across data, ML, and application layers.
- Collaborate with cross-functional teams to identify high-impact AI opportunities and translate them into technical solutions.
- Mentor and support engineering teams, elevating technical capabilities across the organization.
- Stay ahead of industry developments, research breakthroughs, and emerging AI frameworks.
Required Experience
- 7+ years of experience in AI/ML engineering, with a strong track record of delivering production-grade AI systems.
- Deep expertise in Python and modern ML frameworks (PyTorch, TensorFlow, JAX).
- Extensive hands-on experience working with large language models, generative AI architectures, and related tooling.
- Strong knowledge of model serving, orchestration, distributed training, and scalable inference systems.
- Experience architecting and deploying AI solutions on cloud platforms (AWS/GCP/Azure).
- Proven ability to lead complex AI initiatives, influence technical direction, and guide multidisciplinary teams.
- Strong understanding of data engineering, MLOps, model governance, and ML lifecycle best practices.
- Ability to thrive in a fast-paced environment and navigate ambiguous, greenfield challenges.
What the Company Offers
- A strategic role with significant influence over the AI roadmap and technical foundations.
- Competitive salary, equity, and comprehensive benefits.
- Flexible remote or hybrid working environment.
- Opportunities to work with state-of-the-art AI technologies and contribute to groundbreaking products.
- A culture that values innovation, autonomy, and continuous learning.
To Apply for this Job Click Here
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Industry Hub
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News & Blog
With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
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Frequently Asked Questions: Machine Learning Deployment
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Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
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I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
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Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
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Digital Media and Analytics
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
Client /
Data Direction – Broadcast Media
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
Candidate /
Market Research Analyst
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
