ML OPS
TALENT SOLUTIONS
Our MLOP's recruitment services are specifically tailored to the field of Machine Learning Operations. We understand the critical role ML Ops professionals play in bridging the gap between machine learning development and operational deployment, ensuring scalable, efficient, and reliable machine learning systems.
We specialize in MLOPS Jobs, offering data talent solutions for all levels of seniority within ML Ops, from hands-on engineers to strategic leaders. Our comprehensive approach ensures that your team not only has the technical expertise to manage ML systems but also the vision to achieve operational excellence and innovation.
WHY
HARNHAM?
Our reputation as a global leader in data recruitment is built on a foundation of hundreds of dedicated specialists who operate across the United States, Europe, and the United Kingdom. This extensive network empowers us to offer unparalleled recruitment solutions, matching our clients with the ideal Machine Learning Engineering and MLOPs Jobs talent.
We recognize the unique nature of each organization's Machine Learning needs. Our recruitment strategies are, therefore, highly customized, focusing on understanding and aligning with your specific business objectives and technical requirements.
OUR
SERVICES
- Permanent and Contract Recruitment: We provide both permanent and contract recruitment solutions, ensuring flexibility to meet the evolving needs of your Machine Learning projects and initiatives, including MLOPs jobs.
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- Executive Search: Our executive search service is designed to identify and secure leaders in the Machine Learning field who can propel your business strategies and technological innovations forward.
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- Industry-Specific Expertise: We operate across all industries, offering specialized recruitment solutions that understand and cater to the unique challenges and opportunities within your sector.
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Contact us today to learn how our bespoke talent solutions can enhance your organization's Machine Learning capabilities.
JOBS
LATEST ML OPS
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
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
Machine Learning Engineer
London
£500 - £560
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
ML Engineer
£500-£560
The Company
They are a well‑established consumer technology business with a mission to create a safe, trusted environment for millions of users. Data, experimentation, and scalable engineering are core to how they operate. Their Trust function is expanding, and they are investing heavily in modern ML infrastructure to support rapid growth. You will join a collaborative environment where ML Engineers, Scientists, Backend Engineers, and MLOps specialists work closely to deliver measurable impact.
The Role
In this role, you will:
* Design and implement pipelines for training, evaluating, deploying, and monitoring detection models
* Productionise detection models in partnership with ML Scientists, improving reliability and latency across asynchronous inference workflows
* Collaborate with backend and product teams to define integration requirements for trust detection services
* Extend ML infrastructure with MLOps teams, including reproducible training workflows, CI/CD for model deployment, batch and real‑time model serving, feature consistency, and monitoring
* Uphold strong standards around testing, observability, and operational excellence
* Contribute to a scaling engineering culture where experimentation and measurable outcomes are central
Your Skills and Experience
* Strong commercial experience building and deploying ML pipelines in production
* Experience with asynchronous ML inference pipelines
* Deep understanding of end‑to‑end ML workflows from research through to deployment
* Ability to operate with ownership in complex, fast‑moving environments
* Strong communication skills for working with both technical and non‑technical stakeholders
* Experience designing systems within modern cloud environments such as AWS or GCP
* Proficiency in Python and common ML frameworks such as PyTorch, TensorFlow, or scikit‑learn
* Exposure to ML/MLOps tooling such as SageMaker, MLflow, or TFServing
* Experience with Spark, Databricks, CI/CD tools, and streaming or orchestration systems like Kafka or Airflow
How to Apply
If you are interested in this Machine Learning Engineer position, please apply with your CV.
To Apply for this Job Click Here
Principal AI Engineer
Toronto
$180000 - $200000
+ Data Science & AI
PermanentToronto, Ontario
To Apply for this Job Click Here
Principal AI Engineer
180,000-200,000 CAD + bonus + RSUs
3 days hybrid – Toronto, Ontario
About the Organization
Join a global company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, ML, and data science to create forward-looking tools.
The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.
About the Role
This is a tech-lead position, focusing on model deployment-ideal for someone with a strong foundation in software engineering and a passion for making machine learning work in the real world. You’ll lead projects for a team of AI engineers on experiments, iterate on PoCs, and help define how ML models are deployed, scaled, and maintained in production environments.
What You’ll Bring
- 7+ years of software engineering experience in production environments
- 2+ years of technical leadership experience working with AI / ML systems (Python)
- Experience with ModelOps / MLOps / AIOps workflows
- Background in:
- NLP: Named Entity Recognition / NER, information extraction, and information retrieval
- Numpy, Pandas, and scalable data handling
- Cloud environments (provider-agnostic)
- CI/CD pipelines, GitFlow, and Agile development
- Logging, alerting, testing, and autoscaling systems
- Strong collaboration and communication skills, including experience working with non-technical stakeholders
- Independent problem-solver with a proactive mindset
Preferred Experience
- Technical leadership on AI / ML products
- Experience delivering LLM-based solutions
- Engineering management experience, including mentoring or leading cross-functional teams
- Familiarity with all stages of the AI product lifecycle
- Startup or fast-paced innovation environment experience
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | MLOps | AIOps | Platform | Infrastructure | Scalability | Production | Machine Learning Operations | AI | Artificial Intelligence | Containerization | PyTorch | Python | Deployment | Deploying | MLFlow | Kubernetes | Kubeflow | ModelOps | NLP | Natural Language Processing | GitFlow | NER | Information Extraction | Information Retrieval
To Apply for this Job Click Here
Senior Software Engineer – ML Platform
Jersey City
$80 - $100
+ Data Engineering
ContractJersey City, New Jersey
To Apply for this Job Click Here
Senior Software Engineer – ML Platform
About the Role
We’re looking for a Senior Software Engineer to help build and scale a next‑generation Machine Learning Platform that enables teams across the organization to efficiently productionize ML models at global scale. You’ll apply modern MLOps practices to streamline deployment, simplify operations, and create reliable infrastructure that empowers data scientists, ML engineers, and product teams to deliver value quickly and confidently.
In this role, you’ll design systems that support model deployment, monitoring, and lifecycle management for both GPU and CPU workloads. You’ll also help enable live testing scenarios such as A/B experiments and shadow traffic, and build tools for versioning, observability, and reproducible ML environments. Your work will make machine learning easier to adopt and operate across diverse product teams.
Responsibilities
- Design and implement ML inference infrastructure for real-time and batch model serving, including CPU/GPU-aware scheduling and automated deployment pipelines
- Collaborate with research, data science, and product engineering teams to understand requirements and build reusable, scalable platform solutions
- Contribute to CI/CD workflows for ML artifacts to enable rapid iteration and safe promotion from development to production
- Build and maintain tooling for dependency and environment management (e.g., Conda, Poetry, container image hardening) to ensure reproducible ML runtimes
- Implement observability features including monitoring, drift detection, latency metrics, and resource utilization tracking
- Support ML deployment best practices such as multi-version serving, blue/green rollouts, shadow deployments, and rollback strategies
- Focus on improving developer experience and iteratively refining platform usability
- Contribute to platform architecture decisions and long-term roadmap planning
- Partner with shared infrastructure teams to contribute upstream and establish effective collaboration models
Required Qualifications
- 4+ years of software engineering experience, with significant time spent on platform, infrastructure, or backend systems
- Experience building and operating distributed systems or production ML platforms
- Hands-on experience with cloud-native technologies (e.g., Kubernetes, containerization, autoscaling, observability stacks)
- Experience with one or more model serving frameworks (e.g., NVIDIA Triton, KServe, TorchServe, BentoML, Seldon Core)
- Knowledge of GPU orchestration, performance tuning, and cost-aware scheduling
- Strong background in CI/CD automation, infrastructure-as-code tools (e.g., Terraform), and artifact management
- Experience working with Python ML ecosystems, environment/package management tools (Poetry, Conda), and vulnerability scanning workflows
- Strong communication skills and the ability to collaborate across engineering, data science, and product teams
Desired Qualifications
- Experience building ML infrastructure for low-latency or real-time use cases
- Familiarity with ML workflow tools such as MLflow, DVC, LakeFS, and drift monitoring strategies
- Exposure to online experimentation frameworks and A/B testing for model evaluation
- Experience contributing to greenfield platform initiatives, particularly involving multi-tenancy or self-service capabilities
- Interest or experience in creative technology, interactive applications, or large-scale consumer platforms
- Familiarity with deployment requirements for international markets (nice to have, not required)
Location: Remote (EST Time Zone Preferred)
Utilization: 40 hours / week
Duration: 12 Months (Strong potential for extension)
Rate: $80/hr – $100/hr, dependent on experience
**WE ARE NOT USING THIRD PARTIES FOR THIS SEARCH**
To Apply for this Job Click Here
Senior Core AI Engineer
$100 - $125
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Senior Core AI Engineer: LLMs & Agentic Systems (Contract, On-site NYC)
About Harnham
Harnham specializes in data, AI, and analytics recruitment, partnering with cutting-edge teams turning LLMs and agentic systems into real products.
About the Client
Our client is a fast-moving AI startup based in New York City. They are building agentic AI products in a space with significant upside and a clear path to a future exit. The environment is highly technical, founder-led, and focused on shipping impactful systems quickly.
Role Details
- Title: Senior Core AI Engineer: LLMs & Agentic Systems
- Type: Contract (short term, with strong likelihood of extension or conversion to full-time)
- Duration: Roughly 3 months (initial contract)
- Location: New York City, hybrid
- On-site expectation: 3-4 days per week
- Hours: 40 hours per week
- Start: ASAP
- Pay Range: $100-$125/hr
The Role
This role is for a senior engineer who lives and breathes AI and wants to design and build agentic systems on top of LLMs. You will focus on core AI and system design: experimenting, iterating, and pushing from 0 to 1 on new workflows. While there is a path into production, this role leans toward experimentation, R&D, and systems-level thinking rather than pure infra. You will work closely with founders, may interact with clients, and need to communicate clearly in a fast-changing environment.
Key Responsibilities
- Design, prototype, and refine agentic systems using large language models to automate complex, multi-step workflows.
- Run experiments across prompts, architectures, and tool integrations to improve reliability and performance.
- Work at the systems level: reason about the entire agent loop (planning, tools, memory, feedback), not just the model.
- Collaborate with MLOps and platform engineers to ensure designs can be productionized and operated reliably.
- Use AI-assisted tools (GitHub Copilot, Cursor, Claude, etc.) to accelerate experimentation and implementation.
- Communicate clearly with founders and stakeholders about tradeoffs, limitations, and progress.
Requirements: Must Have
- Strong experience with core AI and NLP, especially large language models and agentic or tool-using systems.
- Demonstrated ability to take AI ideas from 0 to 1: research, prototype, iterate, and influence product direction.
- Solid Python skills and comfort building experimental yet clean, maintainable code.
- Systems-level thinking: understands orchestration, context, tools, and evaluation loops, not just individual model calls.
- Excellent communication skills and ability to be client- or stakeholder-facing when needed.
- Willingness and ability to work on-site in NYC 3-4 days per week in a fast-moving, changing environment.
Nice to Have
- Prior experience in a startup or founder-led environment.
- Background in research or advanced experimentation with LLMs, agents, or related frameworks.
- Experience with popular agent / LLM frameworks (LangChain, LlamaIndex, tool calling / function calling setups).
- Familiarity with AI-related hardware or accelerators (beneficial but not required).
- Proven use of AI tools in your own engineering workflow.
To Apply for this Job Click Here
Senior Data Engineer
Newcastle upon Tyne
£80000 - £90000
+ Data Engineering
PermanentNewcastle upon Tyne, Tyne and Wear
To Apply for this Job Click Here
Senior Data Engineer
£80,000 – £90,000
Remote (UK-Based)
This is an exciting opportunity to shape and build a brand‑new data ecosystem within a growing organisation investing heavily in its technology function.
THE COMPANY
They are a specialist healthcare provider delivering high‑demand clinical services across both public and private sectors. Data plays a central part in improving operations, enhancing patient journeys, and enabling evidence‑based decision making across the organisation.
THE ROLE
As a Senior Data Engineer, you will take ownership of the development and delivery of core data products and infrastructure. You will work closely with data, product, and executive stakeholders to build a trusted, scalable foundation for the company’s analytics and long‑term machine learning ambitions.
Specifically, you can expect to be involved in the following:
- Designing scalable data architecture that supports analytics, reporting, and ML workloads.
- Building and maintaining secure, repeatable ETL and ELT pipelines using Azure, Python, and SQL.
- Driving best practice, including CI/CD, observability, documentation, and automation.
- Creating datasets and reusable data models for dashboards and performance monitoring.
- Managing the cloud data warehouse and ensuring data quality, reliability, and performance.
- Supporting the move towards MLOps capability, including versioning and reproducibility.
SKILLS AND EXPERIENCE
The successful Senior Data Engineer will have the following skills and experience:
- Strong commercial experience in SQL and Python for data engineering.
- Hands‑on experience working with cloud technologies such as Azure, AWS, or GCP.
- Practical experience building and maintaining data pipelines in production environments.
- Understanding of modern data warehouse design and analytics platform development.
- Experience with tools such as PostgreSQL, MySQL, SSRS, or similar.
- Exposure to CI/CD, Docker, and engineering best practice.
BENEFITS
The successful Senior Data Engineer will receive the following benefits:
- Salary between £80,000 – £90,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Engineer
Manchester
£80000 - £90000
+ Data Engineering
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Senior Data Engineer
£80,000 – £90,000
Remote (UK-Based)
This is an exciting opportunity to shape and build a brand‑new data ecosystem within a growing organisation investing heavily in its technology function.
THE COMPANY
They are a specialist healthcare provider delivering high‑demand clinical services across both public and private sectors. Data plays a central part in improving operations, enhancing patient journeys, and enabling evidence‑based decision making across the organisation.
THE ROLE
As a Senior Data Engineer, you will take ownership of the development and delivery of core data products and infrastructure. You will work closely with data, product, and executive stakeholders to build a trusted, scalable foundation for the company’s analytics and long‑term machine learning ambitions.
Specifically, you can expect to be involved in the following:
- Designing scalable data architecture that supports analytics, reporting, and ML workloads.
- Building and maintaining secure, repeatable ETL and ELT pipelines using Azure, Python, and SQL.
- Driving best practice, including CI/CD, observability, documentation, and automation.
- Creating datasets and reusable data models for dashboards and performance monitoring.
- Managing the cloud data warehouse and ensuring data quality, reliability, and performance.
- Supporting the move towards MLOps capability, including versioning and reproducibility.
SKILLS AND EXPERIENCE
The successful Senior Data Engineer will have the following skills and experience:
- Strong commercial experience in SQL and Python for data engineering.
- Hands‑on experience working with cloud technologies such as Azure, AWS, or GCP.
- Practical experience building and maintaining data pipelines in production environments.
- Understanding of modern data warehouse design and analytics platform development.
- Experience with tools such as PostgreSQL, MySQL, SSRS, or similar.
- Exposure to CI/CD, Docker, and engineering best practice.
BENEFITS
The successful Senior Data Engineer will receive the following benefits:
- Salary between £80,000 – £90,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Engineer
Birmingham
£80000 - £90000
+ Data Engineering
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Senior Data Engineer
£80,000 – £90,000
Remote (UK-Based)
This is an exciting opportunity to shape and build a brand‑new data ecosystem within a growing organisation investing heavily in its technology function.
THE COMPANY
They are a specialist healthcare provider delivering high‑demand clinical services across both public and private sectors. Data plays a central part in improving operations, enhancing patient journeys, and enabling evidence‑based decision making across the organisation.
THE ROLE
As a Senior Data Engineer, you will take ownership of the development and delivery of core data products and infrastructure. You will work closely with data, product, and executive stakeholders to build a trusted, scalable foundation for the company’s analytics and long‑term machine learning ambitions.
Specifically, you can expect to be involved in the following:
- Designing scalable data architecture that supports analytics, reporting, and ML workloads.
- Building and maintaining secure, repeatable ETL and ELT pipelines using Azure, Python, and SQL.
- Driving best practice, including CI/CD, observability, documentation, and automation.
- Creating datasets and reusable data models for dashboards and performance monitoring.
- Managing the cloud data warehouse and ensuring data quality, reliability, and performance.
- Supporting the move towards MLOps capability, including versioning and reproducibility.
SKILLS AND EXPERIENCE
The successful Senior Data Engineer will have the following skills and experience:
- Strong commercial experience in SQL and Python for data engineering.
- Hands‑on experience working with cloud technologies such as Azure, AWS, or GCP.
- Practical experience building and maintaining data pipelines in production environments.
- Understanding of modern data warehouse design and analytics platform development.
- Experience with tools such as PostgreSQL, MySQL, SSRS, or similar.
- Exposure to CI/CD, Docker, and engineering best practice.
BENEFITS
The successful Senior Data Engineer will receive the following benefits:
- Salary between £80,000 – £90,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Consulting Data Engineer (Remote)
New York
$75 - $95
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Consulting Data Engineer – Professional Services
As a Consulting Data Engineer, you’ll be at the forefront of helping enterprises transform how they manage and leverage big data and AI. In this role, you’ll partner with clients to help design modern data architectures, guide migrations, and enable advanced analytics solutions that drive real business outcomes.
You won’t just deliver technology, you’ll deliver innovation. You’ll help organizations turn data into actionable insights. If you thrive in dynamic environments, love solving complex challenges, and want to make a measurable impact, this is the role for you.
What You’ll Do
- Lead high-impact projects that enable clients to modernize their data platforms and accelerate AI adoption.
- Design and implement scalable, cloud-based architectures that power advanced analytics and machine learning.
- Collaborate with technical teams and business stakeholders to ensure seamless delivery and measurable success.
- Act as a trusted advisor, guiding clients through migrations, deployments, and best practices for big data and AI.
- Share insights and feedback to continuously improve solutions and shape the future of data innovation.
What We’re Looking For
- 6+ years of experience in data engineering, analytics, or cloud architecture.
- Strong coding skills in Python or Scala.
- Expertise in at least one major cloud platform (AWS, Azure, or GCP) and familiarity with others.
- Deep knowledge of distributed computing frameworks (e.g., Apache Spark).
- Experience with CI/CD, MLOps, and designing end-to-end data solutions.
- Databricks experience is a *MUST*.
- Exceptional communication and problem-solving skills.
This is a Contract Role. The initial term will be six months, with a strong possibility for extension, and the workload will be 40 hours per week.
**WE WILL NOT BE UTILIZING THIRD PARTY AGENCIES FOR THIS ROLE**
To Apply for this Job Click Here
Senior Data Engineer (IC)
London
£80000 - £90000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Senior Data Engineer (IC)
Location: Remote (Office in London and Wiltshire)
Salary: Up to £90,000 + Benefits
This is an exciting opportunity to join a growing organisation and take ownership of a greenfield data platform. You will play a key role in shaping engineering standards, building scalable pipelines, and enabling the analytics and insight capabilities that will underpin the company’s next stage of growth.
The Company
They are a well established organisation providing essential services across both public and private sectors. Following significant expansion, they are investing heavily in modern data capabilities to improve operational performance and deliver better outcomes for the communities they support. Their technology function is scaling quickly, giving you the opportunity to make a genuine impact in a developing data environment.
The Role
As a Senior Data Engineer, you will have responsibilities for:
- Own the delivery of core data products including pipelines, curated datasets, and models.
- Design and enhance scalable data architecture to improve reliability and performance.
- Build and maintain ETL and ELT pipelines using SQL, Python, and cloud technologies.
- Champion engineering best practices including CI/CD, documentation, and observability.
- Develop trusted datasets and metrics used across analytics and reporting teams.
- Work closely with stakeholders across Data, Product, and Leadership to translate requirements into robust data solutions.
- Support the organisation’s move toward MLOps‑ready platforms and processes.
Your Skills and Experience
You will be required to have experience in the following tools:
- Strong commercial experience building and maintaining production‑grade ETL and ELT pipelines.
- Advanced SQL and Python skills for modelling, transformation, and optimisation.
- Hands‑on experience with cloud data tooling such as Azure, AWS, or GCP.
- A solid understanding of data engineering principles including quality, reliability, and automation.
- Experience working within modern engineering environments, ideally with CI/CD and containerisation.
- Exposure to orchestration, observability, and analytics engineering is beneficial but not essential.
What They Offer
- Fully remote working with occasional monthly travel.
- A chance to shape a greenfield data platform in a growing tech function.
- Opportunities for progression across Data Engineering, MLOps, and DevOps practices.
How to Apply
If this sounds like the next step in your data engineering career, please apply with your CV!
To Apply for this Job Click Here
Principal Machine Learning Engineer – ML Platform
$200000 - $230000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Principal Machine Learning Engineer – ML Platform
REMOTE – US
$180,000-$230,000 + Equity
We’re partnered with a scaling AI‑driven technology company building large‑scale, production‑grade ML systems used in real‑time decisioning. They’re seeking a Senior Machine Learning Engineer who loves production ML over research, with an emphasis on distributed compute, reliability, and end‑to‑end ownership.
This is a role for someone who enjoys shaping platform architecture while still being hands‑on.
What you’ll be doing
- Designing, training, and deploying high‑scale ML models used in live systems
- Building distributed training pipelines (PyTorch, Ray)
- Owning the ML lifecycle across feature engineering, training, evaluation, inference, monitoring
- Improving ML reliability, observability, and reproducibility
- Working closely with engineering, SRE, and product to shape platform direction
- Contributing to ML architecture standards, CI/CD, and testing frameworks
What they’re looking for
- Strong experience delivering production ML systems end‑to‑end
- Expertise with Python, PyTorch, distributed compute (Ray, Spark)
- Background in large‑scale data processing and MLOps tooling
- Ability to diagnose production issues and drive architectural improvements
- Experience with event‑driven ML and model deployment frameworks is a plus
Why this role
- High ownership of ML platform direction
- Complex, real‑world ML workloads at meaningful scale
- Opportunity to improve and evolve existing infrastructure
- Equity + strong compensation package
HOW TO APPLY
If you’re passionate about building robust, scalable ML systems that drive real business impact, apply now.
To Apply for this Job Click Here
AI Engineer
London
£70000 - £80000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
AI Engineer
London, hybrid working (2-3 days per week in the office)
Up to 80,000 base plus 10 percent bonus and benefits
If you want to build meaningful AI products, work with modern tooling, and shape how a fast‑growing consumer brand uses data, this role gives you the autonomy, variety, and technical challenge to step up and make visible impact.
The Company
They are a high‑growth consumer brand with a strong digital presence and millions of active users. Their success has been driven by innovative tech, data‑driven decision making, and a commitment to enhancing customer experience through personalisation. You will join a business that invests heavily in AI and gives engineers the space to deliver production‑ready solutions that genuinely move the needle.
The Role
As an AI Engineer, you will work across GenAI and traditional ML, delivering end‑to‑end solutions that improve both customer experience and internal operations.
Key responsibilities include:
* Building GenAI features for customer‑facing products, including conversational and visual experiences.
* Applying LLMs to internal automation projects that unlock significant time savings across the business.
* Engineering scalable pipelines and services for supervised and unsupervised ML models, including recommenders, forecasting, and segmentation.
* Collaborating closely with data scientists, engineers, and product teams to design and deploy production‑ready solutions.
* Working within a cloud‑native environment and contributing to a modern AI and ML engineering stack.
Your Skills and Experience
* Strong commercial experience with Python and familiarity with cloud‑native development, ideally GCP.
* Ability to explain technical concepts clearly and work collaboratively with non‑technical teams.
* Experience applying AI or ML in real product or workflow settings.
* Solid understanding of core ML engineering principles and production best practices.
* A STEM degree and a genuine interest in AI innovation.
* Comfortable working in an environment where you have autonomy but also clear processes to follow.
What They Offer
* Up to 85,000 base salary plus 10 percent bonus.
* Hybrid working with flexibility; Thursdays on site are required.
* A benefits package including product discounts, wellbeing perks, life assurance, and additional lifestyle rewards.
* A role where you will work across GenAI, deep learning, MLOps, and recommender systems.
* The chance to have a significant impact in a lean, high‑performing team during an exciting growth phase.
How to Apply
If you are interested in this AI Engineer role, please apply with your CV and we will be in touch.
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.
Visit our Blogs & News portal or check out our recent posts below.
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We understand the challenges our
customers face and offer the
recruitment solutions needed to drive
business success through Data &
AI.
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
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
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
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 – 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.
Candidate /
Senior Data Engineer
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
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
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.
