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.
Head of Data Science
London
£110000 - £140000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Head of Data Science
London (Hybrid, 2 to 3 days per week)
This is a high-impact leadership opportunity to shape how a major consumer business uses data to drive growth, improve decision making, and deliver measurable value. You will lead the integration of data science and analytics into a single, high-performing function while influencing senior stakeholders and setting a clear strategic direction.
The Company
They are a well-established, customer-focused organisation undergoing a significant data transformation. With strong investment and leadership support, data is central to their future strategy. The business operates in a fast-paced, commercially driven environment and places high value on innovation, experimentation, and measurable outcomes. Data maturity is still developing, creating a genuine opportunity to shape the roadmap and drive meaningful change.
The Role
You will take ownership of the data science and analytics capability, focusing on both strategy and execution. Key responsibilities include:
* Defining and delivering the data science and analytics strategy aligned to wider business goals
* Driving the adoption of self-serve analytics tools and improving data accessibility across teams
* Leading the redesign and optimisation of reporting, dashboards, and insight delivery
* Overseeing development, productionisation, and deployment of data science solutions
* Embedding performance frameworks to measure value, impact, and business outcomes
* Building and scaling a high-performing, multidisciplinary team across data science and analytics
* Engaging and influencing senior stakeholders, including CIO and COO level
* Shifting perception of data science from a support function to a core value driver
Your Skills and Experience
You will bring a strong combination of technical depth, leadership capability, and commercial awareness:
* A background as a data scientist with strong attention to detail and the ability to challenge methodologies
* Deep understanding of data science techniques, principles, and underlying mathematics
* Strong experience delivering data science solutions across multiple domains in commercial settings
* Proven ability to build, develop, and lead high-performing teams
* Experience operating in environments with low or evolving data maturity
* Excellent stakeholder management skills, with the ability to translate complex concepts into clear business narratives
* Strong track record of delivering measurable business impact from data initiatives
* Comfortable working in ambiguous, fast-changing environments and driving transformation
To Apply for this Job Click Here
Senior AI Engineer
New York
$180000 - $250000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer – GenAI / Agentic AI
Location: United States (Hybrid)
$180,000 – £250,000 base salary + Bonus, RSUs
I am working with a world-leading global brand in financial services and technology, known for shaping markets and setting the standard for innovation for over a century. This firm operates at the highest levels of global finance and is investing heavily in advanced Machine Learning and Artificial Intelligence to transform how large-scale, mission-critical systems are managed.
The Team
You would join an elite ML/AI group within their enterprise technology division. This team applies cutting-edge ML and Generative AI to orchestrate intelligent agents that improve resilience, reduce operational risk, and drive efficiency across one of the most complex infrastructures in the industry. By combining classical ML with agentic AI, they are redefining production management at global scale.
The Role
As a Senior Machine Learning Engineer, you will design and deploy AI-driven agents capable of reasoning, diagnosing, and acting in production environments. This includes:
-
Building tool-using AI agents with safety and compliance guardrails
-
Productionizing LLMs with retrieval pipelines, evaluation frameworks, and response validation
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Integrating agentic AI into observability, deployment, and incident management systems
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Optimizing scale, cost, and performance of AI systems under real-world load
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Partnering with global engineering teams to deliver measurable business impact
What They’re Looking For
-
7+ years’ experience in ML engineering or applied data science
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Expertise in Python (plus C++, Go, or Java)
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Track record of deploying ML systems at scale
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Hands-on experience with LLMs (prompt engineering, fine-tuning, RAG, tool-calling)
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Cloud-native engineering (AWS preferred) and strong software design fundamentals
Why Apply
This is a rare chance to join one of the world’s most prestigious brands, working at the forefront of AI innovation with unmatched resources, scale, and career development opportunities.
To Apply for this Job Click Here
Senior AI Research Scientist
New York
$200000 - $400000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior AI Research Scientist
New York City, Hybrid
Base up tot $300,000 + Bonus + Equity
This is a standout opportunity to join a high‑growth AI organisation operating at the intersection of advanced machine learning, large‑scale distributed systems, and real‑world healthcare impact. You will work on cutting‑edge research challenges while directly influencing production systems that support mission‑critical workflows across the healthcare ecosystem.
The Company
They are an AI‑driven healthcare technology organisation building next‑generation platforms for automating complex revenue and administrative processes. Operating with the agility of a startup and the scale of an established enterprise, they combine access to significant compute resources, extensive real‑world healthcare data, and a mandate to deploy AI at nationwide scale. Their environment is deeply technical, fast‑moving, and impact‑focused, offering the chance to work alongside strong research, engineering, and product teams.
The Role
You will operate as a Senior AI Research Scientist, working end to end across ideation, experimentation, and production.
Key responsibilities include:
- Designing and training novel model architectures using PyTorch, TensorFlow, or JAX.
- Conducting applied research in areas such as long‑context retrieval, interpretability, reinforcement learning, and retrieval‑augmented generation.
- Running large‑scale experiments and evaluations on distributed GPU infrastructure.
- Contributing to deployment‑ready systems in close partnership with MLOps and ML Engineering teams.
- Translating research insights into measurable improvements across real‑world workflows.
- Staying engaged with the latest literature while building solutions that can be deployed at production scale.
Your Skills and Experience
You will bring:
- Strong capability in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Proven experience developing and evaluating novel ML architectures or pipelines.
- Expertise in at least one of the following areas: interpretability, reinforcement learning, long‑context modelling, information retrieval, or retrieval‑augmented generation.
- Confidence working with large‑scale distributed training tools such as Ray, Lightning, or FSDP.
- A solid publication track record in reputable machine learning venues.
- The ability to work hands‑on, end to end, from research exploration through to implementation.
- A collaborative mindset suited to a highly technical, fast‑moving environment.
What They Offer
- Competitive bonus structure
- Long‑term incentive plan
- Hybrid working model with three days per week onsite
- Comprehensive health coverage
- Flexible paid time off
- The chance to influence systems operating at nationwide scale and contribute to meaningful change in the healthcare sector
How to Apply
If you are interested in this Senior AI Research Scientst position, please apply with your CV for immediate consideration.
To Apply for this Job Click Here
Senior AI Scientist
$206884.9 - $279903.1
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Senior AI Scientist
Remote (US), $180,000 to $210,000 base salary
This is a rare opportunity to join a scaling health tech organisation where advanced AI research directly impacts patient outcomes at national scale. You will work on clinically meaningful problems, take ownership of cutting edge research, and see your work deployed into real world healthcare products.
The Company
They are a well funded, high growth health tech business operating at the intersection of AI, data science and clinical care. Their technology focuses on improving diagnostic accuracy in medical imaging, helping reduce misdiagnosis and increase trust in healthcare decisions. Backed by significant venture funding, they partner with large employers and insurers to improve access to high quality care across the US.
The Role
As a Senior AI Scientist, you will play a key role in shaping research direction and translating innovation into production systems.
- Design and develop deep learning models applied to medical images and clinical text
- Lead end to end research projects from idea generation through evaluation and deployment
- Collaborate closely with AI researchers, ML engineers, data scientists and clinical experts
- Drive innovation through experimentation, publication and conference representation
- Contribute to technical decision making at the boundary of AI research and clinical products
Your Skills and Experience
- Strong commercial or academic experience in deep learning using Python and PyTorch
- Proven ability to lead and own research projects independently
- Hands on experience training models at scale, including GPU or cluster based workflows
- Comfort working in Linux or Ubuntu environments
- Experience with AI operations or engineering practices such as Docker and model deployment
- Exposure to healthcare or medical imaging AI is highly beneficial
- A publication record in applied AI or medical AI is advantageous
What They Offer
- Base salary between $180,000 and $210,000, with flexibility for exceptional candidates
- Fully remote role with no travel requirement
- A zero cost health insurance plan option
- Strong visibility across the organisation and clear progression as a senior individual contributor
- The chance to work on impactful AI that directly improves patient care
How to Apply
Apply now to learn more about this opportunity and how your AI research could make a real difference in healthcare.
To Apply for this Job Click Here
Lead Data Scientist
London
£450 - £480
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Lead Data Scientist
England
£450-£480 Per Day, Outside IR35
Remote
Immediate Start
The Company
They are a specialist organisation working at the forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors.
The Role and Deliverables
You will take ownership of end-to-end data science delivery, from problem definition through to deployment in live environments.
* Design, build, and deploy machine learning models within Pega-based decisioning platforms.
* Lead model development across feature engineering, training, validation, and ongoing performance monitoring.
* Work closely with application and logic developers to embed models into operational decision workflows.
* Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases.
* Design and run experiments, including A/B testing, to quantify business impact.
* Provide technical leadership and mentoring to other data scientists, while engaging confidently with client stakeholders.
Your Skills and Experience
* Strong experience delivering data science solutions in client-facing or consulting environments.
* Advanced capability in Python and or R, with hands-on use of modern machine learning libraries.
* Deep understanding of statistical modelling, experimentation, and model evaluation techniques.
* Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure.
* Proven ability to communicate complex technical concepts to non-technical audiences.
* Experience with Pega Customer Decision Hub and Adaptive Decision Manager in production environments is highly desirable.
* Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous.
* Familiarity with MLOps practices and model monitoring frameworks is beneficial.
How to Apply
If you are looking for a senior data science role where you can combine technical depth with real client impact, apply now to learn more.
To Apply for this Job Click Here
MLOps Engineer
London
£550 - £650
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
MLOps Platform Manager
London
Rate: £550-£650 Outside IR35 Per Day
Work Type: Fully remote
Start: ASAP
The Company
They are a well established organisation with a strong enterprise data estate and a clear commitment to using data and AI responsibly at scale. The business operates in a complex environment where reliability, security and governance are essential. Data, analytics and machine learning teams work closely together, supported by a central platform function focused on operational excellence.
The Role and Deliverables
- Own the day to day operation of Palantir platforms and associated MLOps services, ensuring availability, performance and a strong user experience.
- Establish and run service management processes including incident, problem and change management, supported by clear documentation and runbooks.
- Define and embed standard MLOps patterns covering model development, deployment, monitoring and lifecycle governance.
- Lead platform releases and upgrades, including planning, testing, communication and rollback where required.
- Implement and maintain security, risk and compliance controls for data and machine learning workloads.
- Manage the platform roadmap, cost optimisation activities and key supplier relationships.
Your Skills & Experience
- Strong experience operating Palantir platforms in production, or comparable enterprise data platforms, with ownership of platform operations.
- Proven capability delivering MLOps practices end to end, including CI/CD, automation, monitoring and model governance.
- Experience working closely with security, risk and governance teams to evidence controls and support audits.
- Confident stakeholder management skills, able to balance delivery speed, cost and risk across technical and non technical teams.
- A service owner mindset with a focus on stability, continuous improvement and enabling delivery teams.
How to Apply
Apply now to discuss this contract opportunity and how it could align with your experience.
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
Staff Finance Data Scientist – Consumption Forecasting
San Francisco
$240000 - $300000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Staff Data Scientist, Finance – Consumption Forecasting
Location: San Francisco or New York | Hybrid (3 days per week in office)
Salary: $240-300k base + bonus + equity (RSUs)
This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world’s most dynamic applications and scales with every developer and enterprise building on it.
As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn’t a support function. It’s foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level.
What you’ll own
This is a senior individual contributor role with organization-wide impact. You’ll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership.
- Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system
- Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models
- Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles
- Establish backtesting, monitoring, and explainability standards that make forecast accuracy transparent and defensible
- Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches
- Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers
- Set forecasting best practices across the broader Data organization
What we’re looking for
- 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level
- Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment
- Proven track record building and productionizing ML systems at scale
- Strong Python and SQL, with experience on large-scale usage and billing datasets
- Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference
- Experience partnering with Finance or executive leadership on planning cycles
- Comfortable operating autonomously in fast-moving, ambiguous environments
Nice to have
- Background in cloud infrastructure, developer tools, or consumption-based revenue models
- Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
- Prior technical mentorship or informal leadership experience
To Apply for this Job Click Here
Senior Gen AI Developer
London
£500 - £700
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior GenAI Developer
Location: London, hybrid 2 to 3 days per week
Contract: 6 months
Day Rate: £500 to £700 per day
IR35: Inside IR35
A leading enterprise organisation is looking for a Senior GenAI Developer to join a customer-focused AI and data science team, helping to design, build and operate production-grade GenAI applications at scale.
This is not a proof-of-concept role. You will be responsible for delivering secure, resilient and scalable AI-enabled applications that consume standardised GenAI services, including LLMs, RAG, summarisation and extraction capabilities. You will work closely with GenAI Engineers, Platform Engineers, Product, Architecture and Business Delivery teams to turn business problems into robust AI-powered applications.
The role would suit a strong software engineer with hands-on experience building cloud-native applications, embedding AI capabilities into production systems, and taking ownership across the full delivery lifecycle.
Key responsibilities:
* Design, build and maintain AI-enabled applications using enterprise GenAI services
* Develop production-grade microservices and/or full-stack applications
* Integrate LLM, RAG, summarisation and extraction services into secure, scalable applications
* Own end-to-end delivery, including development, CI/CD, deployment, monitoring and incident resolution
* Build API-led, cloud-native solutions with strong engineering standards
* Implement observability, logging, metrics and alerting for live production workloads
* Work closely with product, platform, architecture and business teams to deliver high-impact AI applications
* Ensure applications meet non-functional requirements around security, scalability, resiliency, performance and cost
Essential skills:
* Strong software engineering background with experience delivering complex distributed systems
* Proven experience building and deploying production-grade applications that embed AI capabilities
* Strong Python experience
* Experience with LangGraph, Strands and DeepEval
* Strong AWS experience, ideally including Lambda, Fargate/ECS, ECR, Bedrock, S3 and RDS/Postgres
* Experience integrating applications via APIs, including REST and async/event-driven patterns
* Docker and Kubernetes/EKS experience
* Experience operating applications in cloud environments
* Strong understanding of security, resiliency, scalability, performance and observability
* Experience with monitoring tools such as CloudWatch and/or Datadog
* Experience with testing strategy and LLM evaluation
Nice to have:
* React, Next.js and TypeScript experience
* Experience delivering AI-enabled user experiences, such as chat-based interfaces or intelligent workflows
* Familiarity with GenAI concepts, including LLMs, RAG patterns, prompt-driven workflows and AI service orchestration
This is an opportunity to join a mature AI function delivering real GenAI applications into production, working on enterprise-scale use cases with strong platform, engineering and governance support.
To Apply for this Job Click Here
Applied AI Engineer
$135000 - $155000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
This is an opportunity to work on real-world AI applications from concept through production, leveraging the latest advancements in large language models, conversational AI, retrieval systems, and intelligent automation. The ideal candidate is a hands-on builder with recent experience deploying production-grade GenAI solutions and thrives in a fast-paced, collaborative environment.
Responsibilities
- Design, prototype, and deploy Generative AI solutions across customer-facing and internal business applications.
- Develop and optimize applications powered by large language models (LLMs), vector databases, prompt engineering techniques, and Retrieval-Augmented Generation (RAG) architectures.
- Build, deploy, and maintain AI-powered chatbots and virtual assistants, ensuring scalability, reliability, security, and compliance.
- Lead the development of AI agents for both digital and voice-based experiences, supporting real-time interactions for customers and employees.
- Evaluate, integrate, and implement third-party AI platforms, APIs, and emerging technologies to accelerate innovation and business value.
- Create proof-of-concept applications to assess new use cases such as document processing, classification, summarization, knowledge management, and workflow automation.
- Optimize prompts, model configurations, and orchestration frameworks to improve performance, accuracy, and cost efficiency.
- Partner closely with data, platform, and MLOps teams to ensure robust deployment processes, monitoring, observability, and governance practices.
- Collaborate with product managers, engineers, and business stakeholders to translate user needs into scalable AI solutions.
- Contribute to architectural discussions and establish best practices for enterprise AI adoption and integration.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related technical field.
- 6+ years of experience in AI/ML engineering, software engineering, data engineering, or natural language processing, including recent hands-on work with Generative AI and LLM-based applications.
- Demonstrated success building and deploying production-grade AI chatbots, assistants, or conversational AI solutions within the last two years.
Required Skills
- Advanced Python programming skills and experience with modern AI frameworks and libraries such as LangChain, Hugging Face, OpenAI, Transformers, or similar technologies.
- Experience working with vector databases such as Pinecone, Weaviate, Chroma, FAISS, or equivalent platforms.
- Strong understanding of RAG architectures, prompt engineering, model evaluation, API orchestration, and LLM optimization techniques.
- Solid SQL skills and experience working with cloud-based data platforms and large-scale datasets.
- Ability to operate effectively in cross-functional teams and collaborate with product, engineering, analytics, and external partners.
- Strong communication skills with the ability to explain complex AI concepts and outcomes to both technical and non-technical audiences.
Preferred Qualifications
- Experience working in highly regulated industries such as financial services, healthcare, insurance, or telecommunications.
- Hands-on experience developing voice AI, speech-enabled assistants, or conversational systems integrated with telephony platforms.
- Familiarity with modern data stack technologies, including cloud data warehouses, transformation tools, and data orchestration frameworks.
- Experience integrating AI solutions with CRM, customer service, or workflow management platforms.
- Exposure to document intelligence use cases including OCR, information extraction, summarization, semantic search, and personalized recommendations.
- Experience supporting customer-facing applications, contact center technologies, or enterprise-scale service operations.
To Apply for this Job Click Here
Full Stack AI Engineer
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Full Stack AI Engineer
London
2-3 Days a Week On Site
£500-£600 Per Day
Inside IR35
Immediate Start
The Company
They are a large, established organisation investing heavily in applied AI to improve customer-facing and internal capabilities. The business operates at enterprise scale and provides standardised GenAI services through an internal platform. Technology teams work closely with product, architecture, and delivery stakeholders to solve meaningful, real-world problems. The environment values engineering quality, collaboration, and accountability for outcomes.
The Role and Deliverables
- Design, build, and maintain production-grade AI-enabled applications consuming standardised GenAI services such as LLM-based capabilities, RAG, summarisation, and classification.
- Develop cloud-native microservice or full-stack applications using API-led architectures.
- Integrate AI capabilities securely and reliably, in line with platform standards and guardrails.
- Take end-to-end ownership from local development through CI/CD, deployment, monitoring, and incident resolution.
- Build and maintain DevSecOps pipelines with automated testing, security controls, and infrastructure as code.
- Implement observability, logging, metrics, and alerting to support live production workloads.
Your Skills & Experience
- Strong experience in software engineering, delivering complex distributed or microservice-based systems.
- Proven capability building and operating production applications with embedded AI or machine learning features.
- Strong programming skills in languages such as Java, Python, or Node.js, with exposure to modern frontend frameworks where relevant.
- Solid experience integrating systems via APIs, including REST and event-driven patterns.
- Hands-on DevOps expertise covering CI/CD, containerisation, and cloud platforms such as AWS or Azure.
- Strong understanding of non-functional requirements including security, resilience, performance, and scalability.
- Confidence working across multidisciplinary teams and communicating technical concepts clearly.
How to Apply
If you are looking for a contract role where you can deliver meaningful AI solutions at scale, apply to learn more about this opportunity.
To Apply for this Job Click Here
Senior/Principal Applied AI Engineer
Michigan
$150000 - $205000
+ Data Science & AI
PermanentMichigan
To Apply for this Job Click Here
Senior/Principal Applied AI Engineer
United States, hybrid or remote. Competitive salary plus benefits.
$150,000 to $205,000 + 15% Bonus
This is an opportunity to take ownership of real, production-grade Generative AI solutions in a highly applied environment. You will work on end-to-end AI delivery, from early prototypes through to scalable deployment, with clear visibility of the impact your work has on customers and internal teams.
The Company
They are a well-established organisation operating in a highly regulated, customer-focused industry. Data and AI are central to their strategy, with significant investment in modern platforms and applied AI capabilities. The business values practical innovation, collaboration, and building technology that delivers measurable outcomes at scale.
The Role
You will be a senior, hands-on contributor within an Applied AI team, responsible for turning GenAI concepts into robust solutions. Key responsibilities include:
- Designing, building, and deploying Generative AI applications across client-facing and internal platforms.
- Developing LLM-powered solutions using prompt engineering, vector databases, and Retrieval-Augmented Generation pipelines.
- Building and owning AI chatbots and conversational agents to production standards, including performance, scalability, and compliance.
- Creating AI agents across digital and voice channels to support real-time interactions.
- Delivering proof-of-concept solutions for use cases such as document understanding, summarisation, and knowledge assistants.
- Optimising model usage, prompts, and parameters to balance accuracy, cost, and reliability.
- Collaborating with product, engineering, data, and external partners to align AI solutions with business priorities.
Your Skills and Experience
You will bring strong, practical experience applying Generative AI in commercial settings, including:
- Advanced Python development skills with modern GenAI and machine learning libraries.
- Hands-on experience with large language models, prompt engineering, and LLM evaluation.
- Proven capability building RAG pipelines and working with vector databases.
- Strong SQL skills and experience working with cloud data platforms.
- Experience delivering production-grade conversational AI or chatbot solutions.
- The ability to communicate complex AI concepts clearly to technical and non-technical stakeholders.
- Comfort working in fast-paced, cross-functional environments.
What They Offer
- Competitive salary and comprehensive benefits package.
- The chance to work on high-impact, enterprise-scale AI products.
- Exposure to a wide range of GenAI use cases, including conversational AI and intelligent automation.
- Clear opportunities for technical growth and influence within a growing Data and AI function.
- A collaborative, supportive culture that values continuous improvement and learning.
How to Apply
If you are an Applied AI Engineer looking to build and deploy meaningful Generative AI solutions, apply now to find out more.
To Apply for this Job Click Here
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AI.
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 – 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!
Client /
Director of People Operations
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 – Data Analyst
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.
Candidate /
Data Analyst
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.
Candidate /
Chief Data Officer
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
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.
