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.
- 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.
- 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.
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.
Machine Learning Engineering Lead
London
£100000 - £125000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
MACHINE LEARNING ENGINEERING LEAD
UP TO £125,000
LONDON
This is an excellent opportunity for an experienced ML Engineering Manager or technical leader to join a high-growth fintech and take ownership of a growing machine learning engineering function. You’ll combine hands-on technical contribution with people leadership, helping scale production ML systems while shaping the future direction of the team.
THE COMPANY
Our client is a growing fintech with a strong engineering culture and investment in data. Machine learning forms a critical part of their technology strategy, creating an environment where engineering teams have a direct impact on business outcomes. As the company continues to scale, they are investing in maturing their ML platform and expanding their engineering capabilities.
THE ROLE
Responsibilities include but are not limited to:
- Lead and develop a team of ML and MLOps engineers
- Own delivery, operational performance, and technical execution across the ML Engineering function
- Drive the evolution of machine learning infrastructure, deployment pipelines, and MLOps capabilities
- Contribute hands-on to architecture, platform development, and production ML initiatives
- Help shape the long-term strategy, growth, and maturity of the ML Engineering function
YOUR SKILLS AND EXPERIENCE:
- Previous people management or engineering leadership experience
- Strong commercial experience in Software Engineering, ML Engineering, or MLOps environments
- Experience building, deploying, and supporting machine learning solutions at scale
- Experience working with AWS and ML tooling such as MLflow, Airflow, Metaflow, or Snowflake
- Ability to balance technical leadership, strategic thinking, and hands-on engineering contribution
SALARY AND BENEFITS
- Up to £125,000 base salary
- Contributory pension scheme
HOW TO APPLY
Please register your interest to Mia Randhawa by sending your CV through the ‘Apply’ link
To Apply for this Job Click Here
Lead ML Engineer
London
£110000 - £120000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead Machine Learning Engineer
London (Hybrid) | £110,000 – £120,000
This is an excellent opportunity for a hands-on Machine Learning Engineer who is keen to take the next step into leadership. You’ll continue building and deploying production-grade ML systems while gradually taking on team management responsibilities, offering the chance to shape both technical strategy and team growth.
The Company
A high-growth technology business with a strong focus on machine learning and data-driven decision-making. They are investing heavily in their ML capabilities and are looking for a technical leader to help scale their machine learning infrastructure, engineering best practices, and team capability. You’ll join a collaborative environment where engineering excellence and innovation are highly valued.
The Role
As a Lead Machine Learning Engineer, you will remain deeply involved in the technical delivery of machine learning solutions while mentoring a growing team.
Responsibilities include:
- Build and maintain production-grade machine learning systems and pipelines.
- Remain hands-on with coding, code reviews, debugging, and deployments.
- Mentor and support a small team of Machine Learning Engineers.
- Establish machine learning engineering and MLOps best practices.
- Improve deployment, monitoring, and model lifecycle management processes.
- Collaborate closely with Data Science, Risk, Product, and Engineering teams.
- Contribute to technical roadmap planning and future hiring initiatives.
Your Skills & Experience
- Strong background as a Machine Learning Engineer.
- Experience deploying and maintaining machine learning models in production environments.
- Strong software engineering capabilities, including Python, APIs, and distributed systems.
- Good understanding of MLOps tooling, including CI/CD, monitoring, and pipeline management.
- Experience with tools such as MLflow, Airflow, Evidently, DVC, Docker, or Kubernetes.
- Experience working within AWS, GCP, or Azure environments.
- Previous mentoring or leadership experience with an interest in developing management responsibilities.
How to Apply
If you’re interested in combining hands-on machine learning engineering with a clear pathway into leadership, please apply with your CV for immediate consideration.
To Apply for this Job Click Here
Principal Machine Learning Engineer
€115000 - €135000
+ Data Science & AI
PermanentBarcelona
To Apply for this Job Click Here
Principal Machine Learning Engineer
Up to €135,000
Paris or Barcelona (2 days a week in office)
This is an opportunity to join a high-growth technology business where machine learning sits at the heart of the product. Reporting directly to the CTO, you will influence technical strategy, lead complex machine learning initiatives, and remain hands-on with the development of models that power large-scale commercial decision-making.
THE COMPANY
They are a profitable AdTech scale-up specialising in AI-driven performance advertising. Their platform helps businesses acquire and re-engage users through highly targeted digital advertising, using machine learning to determine which users see specific adverts and when. Having achieved significant growth in recent years, they continue to invest heavily in their machine learning and data capabilities while maintaining a collaborative, engineering-led culture. Their teams are distributed internationally and work on products that make billions of real-time decisions each day.
THE ROLE
As a Principal Machine Learning Engineer, you will combine technical leadership with hands-on machine learning engineering responsibilities.
Specifically, you can expect to be involved in the following:
- Defining technical direction and influencing machine learning strategy across multiple teams
- Designing, building and deploying machine learning models in production environments
- Developing recommendation systems and bidding algorithms within a large-scale advertising ecosystem
- Building audience targeting and mobile attribution models
- Creating customer lifetime value and churn prediction models
- Scaling machine learning infrastructure, experimentation frameworks and training pipelines
- Driving best practices across MLOps, model monitoring, observability and automated retraining
- Partnering with engineering leadership and business stakeholders to align technical solutions with commercial objectives
- Mentoring engineers and contributing to architecture and platform decisions across the machine learning function
- Leading the development of new machine learning capabilities from research through to production deployment
SKILLS AND EXPERIENCE
The successful Principal Machine Learning Engineer will have the following skills and experience:
- Strong commercial experience as a Machine Learning Engineer at Senior, Staff or Principal level
- Proven track record of building and deploying production machine learning systems at scale
- Experience within AdTech, programmatic advertising, RTB or DSP environments is highly desirable
- Expertise in one or more of the following areas: recommendation systems, audience targeting, attribution modelling, customer lifetime value modelling or churn prediction
- Strong Python and machine learning engineering skills
- Experience with modern machine learning frameworks such as PyTorch, TensorFlow or similar technologies
- Exposure to MLOps tooling, experimentation platforms and large-scale data environments
- Experience leading technical initiatives and influencing engineering direction
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders
- PhD or advanced academic background in a STEM discipline is beneficial but not essential
BENEFITS
The successful Principal Machine Learning Engineer will receive the following benefits:
- Salary up to €135,000 – 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
Principal Machine Learning Engineer
Paris
€115000 - €135000
+ Data Science & AI
PermanentParis, Île-de-France
To Apply for this Job Click Here
Principal Machine Learning Engineer
Up to €135,000
Paris or Barcelona (2 days a week in office)
This is an opportunity to join a high-growth technology business where machine learning sits at the heart of the product. Reporting directly to the CTO, you will influence technical strategy, lead complex machine learning initiatives, and remain hands-on with the development of models that power large-scale commercial decision-making.
THE COMPANY
They are a profitable AdTech scale-up specialising in AI-driven performance advertising. Their platform helps businesses acquire and re-engage users through highly targeted digital advertising, using machine learning to determine which users see specific adverts and when. Having achieved significant growth in recent years, they continue to invest heavily in their machine learning and data capabilities while maintaining a collaborative, engineering-led culture. Their teams are distributed internationally and work on products that make billions of real-time decisions each day.
THE ROLE
As a Principal Machine Learning Engineer, you will combine technical leadership with hands-on machine learning engineering responsibilities.
Specifically, you can expect to be involved in the following:
- Defining technical direction and influencing machine learning strategy across multiple teams
- Designing, building and deploying machine learning models in production environments
- Developing recommendation systems and bidding algorithms within a large-scale advertising ecosystem
- Building audience targeting and mobile attribution models
- Creating customer lifetime value and churn prediction models
- Scaling machine learning infrastructure, experimentation frameworks and training pipelines
- Driving best practices across MLOps, model monitoring, observability and automated retraining
- Partnering with engineering leadership and business stakeholders to align technical solutions with commercial objectives
- Mentoring engineers and contributing to architecture and platform decisions across the machine learning function
- Leading the development of new machine learning capabilities from research through to production deployment
SKILLS AND EXPERIENCE
The successful Principal Machine Learning Engineer will have the following skills and experience:
- Strong commercial experience as a Machine Learning Engineer at Senior, Staff or Principal level
- Proven track record of building and deploying production machine learning systems at scale
- Experience within AdTech, programmatic advertising, RTB or DSP environments is highly desirable
- Expertise in one or more of the following areas: recommendation systems, audience targeting, attribution modelling, customer lifetime value modelling or churn prediction
- Strong Python and machine learning engineering skills
- Experience with modern machine learning frameworks such as PyTorch, TensorFlow or similar technologies
- Exposure to MLOps tooling, experimentation platforms and large-scale data environments
- Experience leading technical initiatives and influencing engineering direction
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders
- PhD or advanced academic background in a STEM discipline is beneficial but not essential
BENEFITS
The successful Principal Machine Learning Engineer will receive the following benefits:
- Salary up to €135,000 – 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 Machine Learning Engineer
London
£90000 - £105000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Machine Learning Engineer
London (Hybrid)
This is an opportunity to join a newly established Machine Learning Engineering team building a greenfield AI product within a highly successful global technology business. You’ll have significant ownership from day one, helping shape the architecture, ML systems, and product direction of a platform designed to solve complex, high-value challenges at scale.
The Company
They are a global technology organisation operating across multiple international markets, processing billions of customer interactions and transactions each year. Backed by strong executive sponsorship and substantial investment, they are developing a new AI-powered platform focused on operational optimisation and decision intelligence.
The Role
As a Senior Machine Learning Engineer, you will play a key role in designing, building, and operating production-grade ML systems from the ground up.
Responsibilities include:
- Building and owning end-to-end machine learning solutions, from data ingestion through to deployment and monitoring
- Developing scalable data pipelines that process large volumes of real-time and batch data
- Training, deploying, and maintaining machine learning models in production environments
- Working with Databricks, AWS, Python, Kafka, and modern MLOps tooling
- Leveraging machine learning, LLMs, and multimodal AI techniques across structured and unstructured data sources
- Collaborating with engineering, product, and business stakeholders to deliver impactful solutions
- Contributing to system architecture, platform design, and technical best practices
- Driving measurable improvements through AI-powered decisioning and automation
Your Skills & Experience
- Strong commercial experience as a Machine Learning Engineer, MLOps Engineer, or in a similar applied ML role
- Proven experience building and deploying machine learning systems into production
- Experience designing and maintaining scalable data pipelines and ML infrastructure
- Strong Python engineering skills
- Experience with Databricks and cloud platforms such as AWS
- Knowledge of production monitoring, model performance management, and MLOps best practices
- Ability to operate autonomously and take ownership of projects from concept through delivery
- Experience working with large-scale data environments
- Exposure to fraud, payments, financial services, or risk-related machine learning use cases would be advantageous
To Apply for this Job Click Here
Senior ML Engineer
City of London
£95000 - £96000
+ Data Science & AI
PermanentCity of London, London
To Apply for this Job Click Here
Senior ML Engineer
London | £95,000
This is an opportunity to join a growing Machine Learning team focused on building scalable, production-grade solutions that solve complex real-world problems. Working within a greenfield environment, you’ll have the chance to shape ML systems from the ground up while delivering measurable impact across a high-volume platform.
The Company
They are a global technology business operating at significant scale, processing billions of transactions and interactions each year. The business is continuing to invest heavily in Data Science, Machine Learning, and automation, with a particular focus on building intelligent products that improve operational efficiency and customer outcomes. Their teams combine strong engineering principles with cutting-edge machine learning to deliver solutions used worldwide.
The Role
- Build and deploy production machine learning models that support large-scale automation and decision-making
- Design and optimise data pipelines, backend services, and ML infrastructure
- Develop and maintain feature stores and model-serving capabilities for real-time and batch use cases
- Take ownership of projects from problem definition through to production deployment and monitoring
- Work with structured and unstructured data to solve complex business challenges
- Collaborate with Data Scientists, Software Engineers, and Product teams to deliver scalable solutions
- Contribute to the development of greenfield machine learning products and capabilities
- Drive best practices across MLOps, monitoring, observability, and model lifecycle management
Your Skills & Experience
- Strong commercial experience within Machine Learning Engineering, Data Science, or MLOps
- Experience deploying, monitoring, and maintaining machine learning models in production environments
- Strong SQL and data engineering capabilities, with experience working on large-scale datasets
- Interest in AI technologies, including NLP, Computer Vision, LLMs, or Generative AI applications
- Experience building scalable data pipelines and ML systems
- Strong communication skills and the ability to work effectively across technical and non-technical teams
How to Apply
If you’re interested in this ML Engineer opportunity, please apply with your CV for immediate consideration.
To Apply for this Job Click Here
Head of AI
London
£800 - £1000
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Head of AI
Location: London (Hybrid)
Day Rate: £800-£1,000 per day (Outside IR35)
Contract Length: Initial 6 months with extension potential
About the Opportunity
We are partnering with a leading UK investment firm focused on scaling technology-enabled businesses across a diverse portfolio. As AI continues to become a key driver of value creation, they are looking for a senior AI leader to define and deliver an AI strategy across both the investment platform and portfolio companies.
This is a highly commercial role sitting at the intersection of data, technology, operations, and strategy. The successful candidate will help identify where AI can create measurable business value, drive adoption, and establish best practices across multiple businesses.
Responsibilities
- Define and execute the firm’s AI strategy across portfolio companies.
- Identify high-impact AI and machine learning opportunities that drive revenue growth, operational efficiency, and customer value.
- Partner with executive stakeholders, investment teams, and portfolio leadership to assess AI maturity and prioritise initiatives.
- Build AI roadmaps covering GenAI, predictive analytics, automation, decision intelligence, and emerging AI technologies.
- Lead AI governance, risk management, and responsible AI frameworks.
- Evaluate AI opportunities as part of investment due diligence processes.
- Establish best practices for MLOps, AI architecture, model deployment, and AI product development.
- Manage external vendors, consultancies, and specialist AI partners where required.
- Develop AI capability within portfolio businesses through coaching, training, and hiring support.
Required Experience
- Proven experience leading enterprise AI or data science functions.
- Strong track record delivering commercial AI solutions at scale.
- Experience working with senior executives and influencing business strategy.
- Deep understanding of Generative AI, LLMs, machine learning, and modern data platforms.
- Experience building AI operating models, governance frameworks, and adoption strategies.
- Background within private equity, consulting, technology, digital businesses, or fast-growth environments would be highly advantageous.
- Strong stakeholder management and communication skills.
Desired Technical Expertise
- Generative AI & LLMs (OpenAI, Anthropic, Gemini, open-source models)
- Machine Learning & Data Science
- MLOps & Model Governance
- Cloud Platforms (AWS, Azure, GCP)
- Vector Databases & RAG Architectures
- Data Engineering & Analytics Platforms
- AI Product Development
- Agentic AI & Workflow Automation
Success Metrics (First 6 Months)
- Complete an AI maturity assessment across the organisation and key portfolio businesses.
- Define and secure buy-in for a portfolio-wide AI strategy and operating model.
- Prioritise and launch 3-5 high-value AI use cases with clear commercial outcomes.
- Establish AI governance, risk, and compliance frameworks.
- Develop a repeatable framework for assessing AI opportunities during investment due diligence.
- Build relationships with portfolio leadership teams and create AI adoption roadmaps.
- Deliver demonstrable efficiency gains, cost savings, or revenue opportunities through initial AI deployments.
Why Consider This Opportunity?
- Opportunity to shape AI strategy across multiple high-growth businesses.
- Significant exposure to senior leadership and investment teams.
- Autonomy to build and execute an AI vision from the ground up.
- High-impact position focused on driving tangible business value from emerging AI technologies.
Rate: £800-£1,000 per day (Outside IR35)
Location: London (Hybrid)
Contract: Initial 6-month engagement with strong extension potential.
To Apply for this Job Click Here
Principal Machine Learning Engineer
Paris
€130000 - €150000
+ Data Engineering
PermanentParis, Île-de-France
To Apply for this Job Click Here
Principal Machine Learning Engineer
Location: Paris (Remote / Hybrid – Fully Remote or 2 Days in the Office)
Salary: €135,000 Base + €15,000 Bonus (OTE €150,000)
THE COMPANY
This profitable French AdTech scale-up is transforming digital advertising through machine learning. By building AI-powered technology that determines which users are most likely to engage with an advert, they help leading mobile apps drive customer acquisition and re-engagement through highly targeted advertising.
Following approximately 60% growth over the past two years, the business has expanded to around 140 employees across offices in Paris, Barcelona, Seoul and San Francisco, with more than 25 open positions supporting continued international growth.
You’ll be joining a highly technical engineering team, working directly alongside the CTO to shape the future of machine learning across the business.
THE ROLE
As a Principal Machine Learning Engineer, you’ll define the technical direction of large-scale production machine learning systems while remaining hands-on throughout the full model lifecycle. This is an individual contributor leadership role focused on delivering complex technical projects rather than managing people.
You’ll lead end-to-end machine learning initiatives across recommendation systems, audience targeting, bidding optimisation and customer lifecycle modelling, partnering closely with senior engineering and business stakeholders to translate commercial objectives into production-ready AI solutions. The role combines technical strategy, platform engineering and applied machine learning within a high-scale real-time environment.
YOUR SKILLS AND EXPERIENCE
- Extensive experience building and deploying production machine learning systems at scale
- Proven technical leadership, defining architecture and technical direction while remaining hands-on
- Strong experience developing recommendation systems, audience targeting models, LTV or churn models
- Experience building robust MLOps platforms including model monitoring, automated retraining and production deployment
- Excellent Python and modern machine learning framework experience (PyTorch, TensorFlow or similar)
- Strong software engineering and distributed systems knowledge
- Ability to communicate complex technical concepts to senior stakeholders
- AdTech or Demand Side Platform (DSP) experience highly desirable
- PhD in a STEM discipline is advantageous
THE BENEFITS
- €135,000 base salary plus approximately €15,000 annual bonus (OTE €150,000)
- Longevity bonus every two years
- 4.5-day working week with Friday afternoons off
- Fully remote working or hybrid (2 days per week if based near an office)
- Two company meet-ups each year
- Work directly alongside the CTO
- Join a profitable, high-growth international AI business with significant technical ownership opportunities
INTERVIEW PROCESS
- 15-minute HR conversation
- Take-home technical assessment
- Technical interview and assessment review with senior ML engineers
- CTO interview
- Executive Committee interview
HOW TO APPLY
Please register your interest by sending your CV to Max Beadle at Harnham via the Apply link on this page.
To Apply for this Job Click Here
Senior AI Engineer
London
£75000 - £95000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior AI Engineer
£75,000 – £95,000
King’s Cross, London (1-2 days a week in office)
This is an exciting opportunity for a Senior AI Engineer to play a key role in shaping how AI is embedded across a business. Rather than building standalone proofs of concept, you will develop production-grade AI solutions that directly support core business processes, delivering measurable value at scale.
THE COMPANY
They are a well-established organisation investing heavily in AI and advanced technology. With a focus on innovation, they are building scalable solutions that enhance operational efficiency and customer outcomes. Their environment combines strong engineering practices with the opportunity to work on high-impact AI initiatives. You will join a collaborative team where technical expertise and continuous improvement are highly valued.
THE ROLE
As a Senior AI Engineer, you will design and deliver production-ready AI solutions using LLMs and agentic systems, embedding AI into core business processes to drive measurable impact.
Specifically, you can expect to be involved in the following:
- Design and implement end-to-end AI systems that deliver business impact.
- Build and deploy LLM-powered and agent-based solutions from concept through to production.
- Contribute to technical architecture and engineering best practices.
- Develop reusable components, frameworks, and patterns across multiple AI use cases.
- Make informed decisions on models, tooling, infrastructure, and system design.
- Ensure AI solutions are scalable, observable, secure, and production-ready.
- Support evaluation, monitoring, and governance processes for deployed AI systems.
- Provide technical guidance and mentorship to engineers contributing to AI projects.
SKILLS AND EXPERIENCE
The successful Senior AI Engineer will have the following skills and experience:
- Strong commercial experience delivering production-grade AI systems.
- Expertise in generative AI, large language models, prompting, orchestration, and evaluation.
- Experience designing and implementing complex AI solutions across multiple domains.
- Knowledge of agentic AI systems and multi-step workflows.
- Strong software engineering fundamentals, including APIs, system design, and cloud-native architectures.
- Ability to solve problems in evolving and ambiguous environments.
- Experience influencing engineering standards and contributing to technical excellence.
- Exposure to AI platforms, reusable frameworks, LLMOps, or MLOps is advantageous.
- Experience working within enterprise or regulated environments would be beneficial.
BENEFITS
The successful Senior AI Engineer will receive the following benefits:
- Salary between £75,000 – £95,000 – 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 ML Ops Engineer
London
£75000 - £85000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior MLOps Engineer
£75,000 – £85,000
London (1-2 days a week in office)
This is an opportunity to join a growing AI and data-driven organisation where your work will have a direct impact on the development and delivery of advanced machine learning solutions. You will play a key role in shaping scalable MLOps infrastructure, enabling AI products to operate reliably across a diverse client base while contributing to meaningful, real-world outcomes.
THE COMPANY
They are a mission-led technology business that uses data, machine learning, and advanced analytics to help organisations make better decisions. Their platform combines data engineering, AI, and predictive modelling to generate actionable insights at scale. As they continue to grow, they are investing heavily in their AI capabilities and platform infrastructure, creating an exciting environment for engineers who enjoy solving complex technical challenges.
THE ROLE
As a Senior MLOps Engineer, you will join the platform engineering function, owning and evolving the infrastructure that underpins the organisation’s AI services
Specifically, you can expect to be involved in the following:
- Designing and maintaining scalable MLOps infrastructure that supports machine learning, NLP, knowledge representation, and AI applications.
- Deploying and managing machine learning models using Azure ML, Azure Kubernetes Service (AKS), and associated cloud technologies.
- Building and maintaining production-grade orchestration pipelines for model training, inference, monitoring, and retraining.
- Developing CI/CD pipelines to automate testing, deployment, and operational processes.
- Implementing observability, monitoring, and alerting frameworks to ensure platform reliability and performance.
- Driving best practice around Responsible AI, governance, transparency, and auditability.
- Collaborating with engineering, delivery, and consulting teams to support the adoption and scaling of AI solutions
- Other key responsibilities & selling points of role.
SKILLS AND EXPERIENCE
The successful Senior MLOps Engineer will have the following skills and experience:
- Strong commercial experience in MLOps, platform engineering, infrastructure engineering, or a related field.
- Advanced Python development skills within production environments.
- Expertise with Azure-native MLOps tools, including model endpoints, pipelines, registries, environments, and compute resources.
- Experience deploying and supporting containerised workloads on Kubernetes.
- Strong knowledge of CI/CD practices using Azure DevOps or similar tooling.
- Experience with infrastructure-as-code technologies such as Terraform, Bicep, or Pulumi.
- Knowledge of monitoring and observability tooling such as Prometheus and Grafana.
- Experience with orchestration platforms including Dagster, Airflow, Prefect, or similar.
BENEFITS
The successful Senior MLOps Engineer will receive the following benefits:
- Salary between £75,000 – £85,000 – 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
ML Platform Engineer
Los Angeles
$60 - $80
+ Data Science & AI
ContractLos Angeles, California
To Apply for this Job Click Here
ML Platform Engineer
Remote 6 month contract
This is an opportunity to join a high-impact AI platform project, helping to build and scale the infrastructure that enables machine learning models to be deployed, monitored, and operated in production. You’ll work across MLOps, Kubernetes, GPU inference, and modern AI tooling, contributing to a platform that supports the full machine learning lifecycle.
The Company
They are a technology-focused organisation investing in machine learning and AI platform capabilities. Their engineering teams are building scalable infrastructure that enables rapid experimentation, reliable model deployment, and efficient operational workflows. The environment is collaborative, technically driven, and focused on delivering reusable solutions that improve productivity across engineering and machine learning teams.
The Role and Deliverables
- Build and enhance ML platform infrastructure supporting the end-to-end machine learning lifecycle.
- Design and implement deployment workflows for machine learning models in cloud-native environments.
- Develop and maintain CI/CD pipelines for ML artefacts and production deployments.
- Support GPU inference workloads using technologies such as NVIDIA Triton and KServe.
- Build observability, monitoring, and metrics tooling for production services and microservices.
- Enable scalable Kubernetes-based infrastructure, including cluster management and automation.
Your Skills & Experience
- Strong experience working with Kubernetes in production environments.
- Strong machine learning, MLOps, or ML platform engineering background.
- Experience building and maintaining CI/CD pipelines.
- Track record deploying and operating machine learning models at scale.
- Hands-on experience with NVIDIA Triton, KServe, or similar model serving technologies.
- Understanding of GPU orchestration and inference infrastructure.
- Exposure to agentic AI coding systems or AI-assisted developer tooling.
- Ability to work autonomously, ask insightful technical questions, and operate effectively in fast-moving environments.
- Gaming industry experience is advantageous but not essential.
To Apply for this Job Click Here
MLOps Engineer
London
£500 - £650
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Contract MLOps / Machine Learning Engineer
£650/day Inside IR35
6-Month Contract
Hybrid London (2 days per week preferred)
We’re looking for an experienced MLOps / Machine Learning Engineer to join a high-performing recommendation team within a major consumer technology platform.
This is an engineering-first role focused on deploying and scaling machine learning models in real-time production environments. You’ll work on customer-facing recommendation systems, helping deliver personalised experiences at scale while contributing to modern ML and LLM-powered workflows.
What You’ll Be Doing
- Deploying machine learning models into production environments
- Building and maintaining real-time ML systems
- Supporting recommendation and ranking engines
- Working on model serving, monitoring and performance optimisation
- Deploying neural network and transformer-based models
- Contributing to product retrieval systems and LLM-powered workflows
- Collaborating closely with software engineers and data scientists
What We’re Looking For
- Strong experience as an MLOps Engineer or Machine Learning Engineer
- Proven track record deploying ML models into production
- Experience with real-time / online ML systems
- Strong software engineering and Python skills
- Experience operating and scaling ML infrastructure
- Excellent communication and stakeholder engagement skills
Nice to Have
- Recommendation systems
- Ranking systems
- Personalisation platforms
- LLMOps experience
- TensorFlow
- PyTorch
- MLflow
- Triton
Ideal Backgrounds
We’re particularly interested in candidates from:
- Recommendation & Personalisation
- E-commerce & Retail Tech
- Search & Discovery
- Conversational AI
- Fraud Detection
- Gaming
- High-scale consumer platforms
Contract Details
Initial 6-month contract
£650/day Inside IR35
Hybrid London (2 days per week preferred)
Two-stage interview process
If you have experience deploying machine learning models at scale and enjoy solving real-world production challenges, we’d love to hear from you.
To Apply for this Job Click Here
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Testimonials
Client and
candidate
testimonials
A trusted partner of professionals across the globe.
We understand the challenges our customers face and offer the
recruitment solutions needed to drive business success through Data & AI.
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 – 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.
Candidate /
Senior Data Engineer
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 – 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.
