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.
LLM Engineer
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
LLM Engineer
Remote (UK) | Outside IR35 | £500-£600 per day
This is an opportunity to join a high-impact AI programme focused on developing production-grade Large Language Model solutions. You will play a key role in designing and delivering cutting-edge generative AI applications, working on projects that have a direct impact on business operations and customer experience.
The Company
They are a technology-driven organisation investing heavily in artificial intelligence and machine learning. Their teams are focused on building innovative products and services that leverage the latest advancements in generative AI. Operating within a collaborative and agile environment, they are looking for an experienced contractor to accelerate the delivery of key AI initiatives.
The Role and Deliverables
- Design, develop, and deploy LLM-powered applications for production environments.
- Build and optimise Retrieval-Augmented Generation (RAG) pipelines and supporting infrastructure.
- Integrate LLM solutions with vector databases, APIs, and cloud-based services.
- Evaluate, monitor, and improve model performance through testing and optimisation.
- Collaborate with data scientists, engineers, and business stakeholders to deliver scalable AI solutions.
- Produce technical documentation and best practice guidance to support ongoing development.
Your Skills & Experience
- Strong experience building and deploying Large Language Model applications.
- Strong Python development skills and experience with frameworks such as LangChain, LlamaIndex, or similar.
- Experience implementing RAG architectures and working with vector databases.
- Strong understanding of prompt engineering, model evaluation, and AI application optimisation.
- Experience deploying solutions within AWS, Azure, or GCP environments.
- Familiarity with MLOps practices, CI/CD pipelines, and software engineering best practices.
- Ability to work independently and communicate effectively with both technical and non-technical stakeholders.
How to Apply
If you are an experienced LLM Engineer looking for a 6-month contract opportunity, apply with your latest CV for immediate consideration.
To Apply for this Job Click Here
Lead ML Platform Engineer
New York
$200000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Lead ML Platform Engineer
New York City, NY – Hybrid (3 days per week onsite)
$200,000 – $220,000 Base Salary+ Bonus + RSU package available
THE COMPANY
We are partnering with a leading consumer technology and financial services organization that operates at global scale and serves hundreds of millions of users. The business leverages advanced data, machine learning, and real-time decisioning systems to deliver highly personalized customer experiences across a broad portfolio of digital products.
This is an exciting opportunity to join a rapidly expanding machine learning engineering team at a pivotal stage of growth. The organization is investing heavily in recommendation systems, real-time personalization, machine learning platforms, and next-generation AI capabilities, offering engineers the opportunity to work with large-scale distributed systems and production-grade ML infrastructure.
RESPONSIBILITIES
- Design, build, and maintain scalable infrastructure supporting machine learning training, deployment, and inference workloads.
- Develop and optimize backend services, microservices, and cloud-native applications that power real-time machine learning systems.
- Own and enhance ML platform capabilities across cloud infrastructure, model serving, monitoring, and operational tooling.
- Partner closely with Data Scientists to productionize machine learning models and support real-time recommendation and personalization use cases.
- Improve CI/CD pipelines, infrastructure-as-code frameworks, observability, reliability, and system scalability.
- Participate in operational ownership, incident response, and support for critical production services.
SKILLS AND EXPERIENCE
Must-Have
- 7+ years of software engineering or machine learning engineering experience.
- Strong backend engineering expertise with experience building distributed systems at scale.
- Proven experience developing Scala-based microservices and production-grade backend applications.
- Deep knowledge of AWS cloud services, including machine learning infrastructure and managed platforms.
- Hands-on experience with Kubernetes, Docker, Terraform, and modern CI/CD practices.
- Strong Python programming skills.
- Track record of owning production systems, reliability, monitoring, and operational excellence.
Nice-to-Have
- Experience with machine learning infrastructure, MLOps, or model-serving platforms.
- Knowledge of recommendation systems, personalization engines, or CTR optimization.
- Experience with Datadog observability and monitoring.
- Background in adtech, fintech, e-commerce, or other high-scale consumer platforms.
- Exposure to real-time machine learning applications and online inference systems.
BENEFITS
- Competitive base salary and annual bonus
- Equity participation through RSUs
- Hybrid working model
- Opportunity to work on cutting-edge AI and machine learning initiatives
- Significant career growth and technical leadership opportunities
- Exposure to large-scale, real-time production systems
HOW TO APPLY
Please register your interest by submitting your CV via the Apply link on this page.
KEY TERMS
Lead Machine Learning Engineer | Machine Learning Engineering | Platform Engineer | ML Infrastructure | Scala | Python | AWS | SageMaker | Kubernetes | Docker | Terraform | CI/CD | Distributed Systems | Recommendation Systems | Real-Time Systems | MLOps | Backend Engineering | Cloud Infrastructure | Platform Engineering | Datadog | Fintech | Personalization | ML Platform | Software Engineering | Hybrid NYC | Technical Leadership
To Apply for this Job Click Here
ML Engineer
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Machine Learning Engineer
London | Outside IR35
£500-£600 per day
The Company
They are a well-established retail business investing heavily in their data and AI capabilities. Data plays a central role in shaping strategy across the organisation, with a strong focus on delivering measurable business outcomes through technology. You will join a collaborative team working on impactful machine learning projects within a modern cloud environment.
The Role and Deliverables
- Design, build, and deploy machine learning models into production environments.
- Develop scalable ML pipelines to support model training, testing, and monitoring.
- Collaborate with Data Scientists and Data Engineers to operationalise machine learning solutions.
- Optimise model performance, reliability, and scalability across retail use cases.
- Support the development of MLOps processes and machine learning infrastructure.
- Deliver production-ready solutions that provide measurable business impact.
Your Skills & Experience
- Strong experience deploying machine learning models into production.
- Advanced Python skills and experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
- Experience building and maintaining MLOps pipelines and CI/CD workflows.
- Strong knowledge of AWS, Azure, or GCP.
- Experience with Docker and Kubernetes.
- Strong SQL skills and experience working with large datasets.
- Ability to communicate effectively with both technical and non-technical stakeholders.
How to Apply
If you are an experienced Machine Learning Engineer looking for a contract opportunity within a retail environment, please apply with your latest CV for further discussion.
To Apply for this Job Click Here
Lead Data Scientist
London
£85000 - £95000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead Data Scientist
London – 4x a week
The Company
They are a fast-growing technology organisation that helps businesses unlock value from complex data through advanced analytics, machine learning, and AI-driven decision-making. Their products support a range of commercial use cases, with a strong focus on delivering measurable business outcomes. As they continue to scale, they are investing heavily in their Data & AI capabilities.
The Role
- Lead, mentor, and develop a team of Data Scientists while defining best practices across the function
- Design and deploy machine learning models across forecasting, customer segmentation, and propensity modelling
- Own end-to-end model development including feature engineering, validation, deployment, and monitoring
- Partner with Engineering and Product teams to build scalable, production-ready data science solutions
- Translate analytical outputs into clear commercial recommendations for senior stakeholders
- Drive the adoption of AI tooling and robust model governance across the data science lifecycle
Your Skills & Experience
- Strong commercial experience in Data Science, Machine Learning, or Applied AI
- Experience leading and developing Data Science teams
- Advanced Python and SQL skills
- Expertise in supervised and unsupervised machine learning techniques
- Experience deploying models into production environments using MLOps practices
- Strong communication skills with the ability to influence technical and non-technical stakeholders
What They Offer
- Performance-related bonus
- Private healthcare and additional benefits package
- Opportunity to shape and scale a Data Science function
- Exposure to cutting-edge AI and machine learning projects
- Clear career progression in a high-growth environment
How to Apply
If you’re looking for a Lead Data Scientist opportunity that combines leadership, technical depth, and business impact, please apply today through Harnham.
To Apply for this Job Click Here
ML Engineering Manager
Chicago
$220000 - $240000
+ Data Science & AI
PermanentChicago, Illinois
To Apply for this Job Click Here
ML Engineering Manager
US-based remote
$220,000-$240,000 base + annual bonus + equity
THE COMPANY
Join a high-growth technology company at the forefront of machine learning and risk intelligence. The organization develops advanced AI and machine learning solutions that power critical decision-making at scale, helping businesses manage risk, improve outcomes, and unlock new opportunities.
This is an opportunity to lead a highly technical team operating at the intersection of machine learning, software engineering, experimentation, and applied statistics. The environment is collaborative, research-driven, and focused on delivering measurable business impact through data-informed innovation.
RESPONSIBILITIES
Lead and Develop a High-Performing Team
- Lead, mentor, and develop a team of machine learning engineers and applied scientists, supporting career growth and technical excellence.
- Foster a culture of experimentation, knowledge sharing, continuous learning, and constructive feedback.
- Conduct regular 1:1s, performance discussions, and coaching to help team members achieve their professional goals.
- Drive hiring efforts, participate in technical interviews, and help maintain a high talent bar as the team scales.
- Identify opportunities to improve team processes, collaboration, and delivery effectiveness.
Drive Machine Learning Innovation and Delivery
- Partner with technical leads to shape and refine the roadmap for machine learning initiatives and model improvements.
- Oversee a portfolio of experiments, balancing near-term business objectives with longer-term research and innovation opportunities.
- Apply rigorous evaluation frameworks to ensure model improvements translate successfully from offline testing to production environments.
- Make informed prioritization decisions regarding resource allocation, experimentation, and delivery timelines.
- Guide teams through the full lifecycle of model development, validation, deployment, and release.
Partner with Business and Technical Stakeholders
- Collaborate closely with business stakeholders to define, measure, and deliver against performance objectives.
- Work with platform and infrastructure teams to enhance experimentation capabilities, training pipelines, and ML tooling.
- Translate complex technical concepts and model performance metrics into clear business impact and strategic recommendations.
- Present results, insights, and recommendations to senior leadership and cross-functional stakeholders.
SKILLS AND EXPERIENCE
- 5+ years of experience in Machine Learning, Data Science, Applied AI, or related software engineering disciplines.
- At least 2 years of people management experience (3+ direct reports), including coaching, performance management, and team development; owning team KPIs
- Strong technical depth in machine learning, applied statistics, software engineering, or a combination of these disciplines.
- Experience evaluating and deploying production ML models in large-scale environments, ideally in credit risk, fraud detection, payment processing or similar.
- Proven ability to lead teams through ambiguity, experimentation, and data-driven decision-making.
- Strong understanding of model performance evaluation, experimentation methodologies, and specifically with statistical rigor – Bayesian, causal inference, etc.
- Excellent written and verbal communication skills, with the ability to influence both technical and non-technical audiences.
- Demonstrated ability to balance research initiatives with delivery commitments in a fast-paced environment.
- Passion for engineering quality, reliability, reproducibility, and operational excellence.
BENEFITS
- Competitive compensation package.
- Annual bonus.
- Equity participation opportunities.
- Comprehensive health and wellness benefits.
- Flexible and hybrid working arrangements.
- Professional development and learning opportunities.
- Opportunity to work on cutting-edge machine learning challenges with significant business impact.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
ML Engineering Manager | Machine Learning Manager | AI Engineering | Data Science Leadership | Applied Machine Learning | MLOps | Experimentation | Statistical Modeling | Team Leadership | Risk Analytics | Predictive Modeling | Production ML | Engineering Management | AI Research | Machine Learning Infrastructure | Python | Model Evaluation | Distributed Teams | Technical Leadership | Data-Driven Decision Making | Bayesian Statistics | Causal Inference | Fraud Detection | Anomaly Detection | Credit Risk | Payment Processing
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
Principal ML Engineer
Berlin
€120000 - €150000
+ Data Science & AI
PermanentBerlin
To Apply for this Job Click Here
Principal Machine Learning Engineer
Europe Remote | Up to €135,000 Base + Bonus (c.€150,000 OTE)
This is an opportunity to join a growing, profitable AI-driven technology business where machine learning is central to the product and commercial strategy. The role offers a rare blend of technical leadership and hands-on engineering, allowing you to shape the future direction of ML systems while solving complex challenges at scale.
The Company
They are an established technology scale-up that develops advanced machine learning solutions to power highly personalised digital experiences for millions of users worldwide. Operating internationally, the business has grown significantly in recent years and continues to invest heavily in its data and AI capabilities.
Their machine learning teams work on large-scale real-time systems where model performance directly impacts commercial outcomes. With a collaborative engineering culture and strong leadership support, they offer an environment where innovation and experimentation are encouraged.
The Role
As a Principal Machine Learning Engineer, you will provide technical leadership across the machine learning function while remaining closely involved in model development and production systems.
Key responsibilities include:
- Defining technical direction for machine learning systems and frameworks.
- Designing, developing and optimising machine learning models in a large-scale production environment.
- Leading the development of recommendation engines, bidding algorithms and audience targeting systems.
- Building mobile attribution models and solutions focused on customer lifetime value and churn prediction.
- Driving best practice across MLOps, model monitoring, observability and automated retraining.
- Enhancing machine learning infrastructure, experimentation platforms and deployment processes.
- Partnering with engineering leaders and business stakeholders to align machine learning initiatives with commercial objectives.
- Mentoring engineers and contributing to architectural decisions across the wider technology organisation.
Your Skills & Experience
- Strong commercial experience building and owning machine learning systems in production.
- Experience developing and deploying machine learning models at scale.
- Advanced Python skills alongside experience with modern machine learning frameworks such as PyTorch or TensorFlow.
- Excellent understanding of MLOps, model lifecycle management and production machine learning environments.
- Experience working with recommendation systems, predictive modelling, LTV modelling, churn prediction or related machine learning applications.
- Strong software engineering fundamentals with a focus on scalability, performance and reliability.
- Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
- Experience within AdTech, programmatic advertising, real-time bidding or demand-side platforms would be highly beneficial.
Nice to Have
- PhD in a STEM discipline.
- Experience within DSP environments.
- Exposure to mobile advertising, attribution modelling or related performance marketing technologies.
What They Offer
- 4.5-day working week with Friday afternoons off.
- Flexible remote working policy.
- Longevity bonus awarded every two years.
- Strong work-life balance and employee wellbeing initiatives.
- The opportunity to shape machine learning strategy within a growing and profitable technology business.
- Clear opportunities for progression and increased technical influence.
Interview Process
- Introductory conversation with the Talent Acquisition team.
- Take-home technical assessment.
- Technical interview and assessment review with senior machine learning engineers.
- Interview with the CTO.
- Final executive leadership interview.
How to Apply
If you are an experienced Principal Machine Learning Engineer looking to combine technical leadership with hands-on machine learning development, please apply to learn more about this opportunity.
To Apply for this Job Click Here
Senior DevOps Engineer (GCP)
$65 - $90
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Senior DevOps Engineer (GCP)
About Harnham
Harnham is the global leader in Data & Analytics recruitment. We partner with organisations across cloud, AI, data engineering, and technology to connect top contract talent with transformational projects.
About the Client
Our client is a specialist consulting organisation delivering a high-profile cloud and AI transformation programme for a major enterprise organisation. The project focuses on building secure, scalable infrastructure that enables next-generation data products and services.
Role Details
- Role: Senior DevOps Engineer (GCP)
- Location: Remote (US based)
- Pay Rate: $65-$90/hr
- Contract Length: 4 Months
- Start Date: August 24th
About the Role
We are seeking a Senior DevOps Engineer to own the cloud platform foundation for a large-scale enterprise data initiative. This role will focus heavily on infrastructure automation, platform engineering, security, observability, and deployment automation.
The successful candidate will help establish a secure, highly available cloud environment while creating the tooling and processes needed to support ongoing delivery and operational excellence.
Key Responsibilities
- Build and maintain cloud infrastructure using Infrastructure as Code (Terraform)
- Design and support CI/CD pipelines across multiple services and applications
- Implement cloud security, IAM, networking, and secrets management controls
- Develop monitoring, alerting, and operational observability capabilities
- Partner with engineering teams to improve platform reliability and deployment processes
- Create operational runbooks and support knowledge-transfer activities
Requirements
Must Have
- Strong hands-on Google Cloud Platform (GCP) experience
- Advanced Terraform experience including state management
- Experience building modern CI/CD pipelines
- Containerisation experience using Docker and cloud-native platforms
- Strong cloud security, IAM, networking, and secrets management knowledge
- Monitoring and observability experience using cloud-native or third-party tooling
Nice to Have
- MLOps or AI platform support experience
- Experience with GitHub Actions or GitLab CI
- Exposure to Snowflake environments
- Cross-cloud experience working across GCP and AWS
- Experience supporting high-scale data processing platforms
Apply
If you enjoy building cloud platforms from the ground up and want to play a key role in a major cloud transformation programme, we’d be interested in speaking with you.
WE WILL NOT BE ENGAGING WITH THIRD PARTIES FOR THIS SEARCH
To Apply for this Job Click Here
ML Engineer
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Machine Learning Engineer
London | £500-600 Outside IR35 | 3 month initial contract | Hybrid 2-3
This is an exciting opportunity to join a fast-growing tech firm at a pivotal stage of its journey. You’ll play a key role in shaping and delivering machine learning solutions that directly influence product development and business growth. The environment is fast-paced, collaborative, and ideal for someone who enjoys building and deploying impactful AI solutions from the ground up.
The Company
They are an ambitious technology startup experiencing significant growth and investment. With a strong focus on innovation, they are leveraging machine learning to solve complex business challenges and create scalable products. Their leadership team combines deep technical expertise with a clear commercial vision, creating an environment where engineers can make a tangible impact. This contract engagement offers the chance to work on meaningful projects within a highly collaborative team.
The Role and Deliverables
- Design, build, and deploy machine learning models that support key product and business objectives.
- Develop and maintain scalable ML pipelines and production-ready systems.
- Collaborate closely with software engineers, data professionals, and product stakeholders.
- Optimise model performance, reliability, and monitoring processes.
- Contribute to the implementation of best practices across MLOps and machine learning engineering.
- Deliver robust, well-documented solutions within an agile development environment.
Your Skills & Experience
- Strong experience building and deploying machine learning models in production environments.
- Proficiency in Python and the modern machine learning ecosystem.
- Experience developing scalable data pipelines and ML workflows.
- Strong understanding of cloud platforms such as AWS, Azure, or GCP.
- Experience with containerisation and deployment technologies, such as Docker and Kubernetes.
- Ability to balance technical excellence with commercial priorities in a fast-moving environment.
- Strong communication skills and experience collaborating with cross-functional teams.
- Comfortable working independently and delivering outcomes within a contract engagement.
How to Apply
If you’re a Machine Learning Engineer looking for a high-impact contract opportunity with a rapidly growing startup, apply today to learn more about the project and team.
To Apply for this Job Click Here
Senior MLOps Engineer
New York
$160000 - $180000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior MLOps Engineer
New York, New York – 5 days onsite
$160,000 – $180,000 + bonus
THE COMPANY
Harnham is partnering with a top financial services company in the NYC area, which is looking for an experienced MLOps Engineer. This person will be at the forefront of scaling AI automation applications for new ways at identifying cost-saving opportunities. You’ll partner with executive teams across the company and own generative AI, LLM and reinforcement learning application infrastructure deployment at scale.
RESPONSIBILITIES
- You will be responsible for machine learning model deployment and scalability for the company’s AI platform
- You will report directly to senior leadership and work closely on technical direction
- Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications
- You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems
- Own CI/CD pipelines for MLOps / LLMOps
- You will play an integral role of building out the AI team and scaling out its product
- Act as a thought leader role for AI across the business
SKILLS AND EXPERIENCE
- 5+ years of commercial experience preferred with a focus on deploying and scaling machine learning and LLM models
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel AI platforms with large datasets
- History of working with and managing real-time AI applications in production settings
- Fluency with low-latency distributed systems is preferred
- Cloud experience in AWS, Azure or GCP
- DevOps experience with CI/CD pipelines required; Gitlab Pipelines, CDK or Terraform
- Container experience with Kubernetes, Docker or similar
- History of working on models from concept to production / end-to-end / 0-1
- Software engineering foundation: debugging, testing, maintainable code design
- Domain experience in fintech or similar a plus
- History of partnering with non-technical stakeholders required
- Experience owning projects directly preferred
- BS or MS degree in Computer Science, Software Engineering, Computer Engineering or similar
BENEFITS
The compensation package contains a base salary, bonus and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents | MLOps | ML Operations | Deployment | Deploy | Production | CI/CD | Container | Docker | Gitlab Pipelines | Terraform | Kubernetes
To Apply for this Job Click Here
ML Scientist
San Francisco
$200000 - $280000
+ Life Science Analytics
PermanentSan Francisco, California
To Apply for this Job Click Here
ML Scientist / Researcher
Oncology AI · Foundation Models · Life Sciences
Remote
About the Role
We are building foundation models trained on human tumor biology – one of the most consequential and technically demanding challenges at the intersection of AI and medicine. As an ML Scientist, you will be a core research contributor designing and training these models across multimodal omics datasets, partnering closely with biologists and fellow research scientists to advance the state of the art in oncology AI.
This is a research-forward role for scientists who want their work to matter. We are looking for people with a track record of research excellence – those who have gone deep on model architecture, training dynamics, and rigorous experimental design. If you have built models from the ground up and published findings, we want to talk.
What You’ll Do
- Design and train large-scale foundation models on multimodal biological datasets, including genomics, transcriptomics, and other omics modalities
- Collaborate deeply with computational biologists, research scientists, and domain experts to translate biological questions into tractable modeling problems
- Drive the full research lifecycle: hypothesis formation, experimental design, model development, and rigorous analysis of results
- Contribute to agentic AI systems that reason over complex biological data
- Communicate findings internally and, where appropriate, through peer-reviewed publication
What We’re Looking For
Must-Haves
- Strong research background, typically evidenced by a PhD in machine learning, computational biology, statistics, physics, or a related quantitative field – or equivalent industry research experience
- Demonstrated ability to build and train models end-to-end, including experimental analysis and iteration
- Research excellence: first-author publications at top ML, AI, or computational biology venues are a strong positive signal
- Deep familiarity with foundation model concepts: pretraining, self-supervised learning, attention mechanisms, and large-scale training
- Comfort working at the intersection of biology and machine learning – even without a formal biology degree
Nice-to-Haves
- Experience with biological or omics data (genomics, proteomics, pathology imaging, etc.)
- Prior work in multimodal learning or multi-omics integration
- Familiarity with agentic AI systems or tool-use frameworks
- Background in oncology or disease biology
What This Role Is Not
This is not a production ML engineering or MLOps role. We are not looking for candidates whose primary experience is model deployment, serving infrastructure, or engineering-heavy systems work. The emphasis here is firmly on research depth and model development.
Compensation & Location
Base Salary: $250,000 – $288,000 (depending on experience) + equity
Location: Remote-friendly; office in South San Francisco, CA
To Apply for this Job Click Here
AI Engineer
Southwark
£75000 - £85000
+ Data Science & AI
PermanentSouthwark, London
To Apply for this Job Click Here
AI Engineer
London (Hybrid, 3 days per week)
This is an opportunity to join a newly formed AI function at a pivotal stage of growth. You’ll work on high-impact AI initiatives across machine learning, Generative AI and Agentic AI, helping to shape how AI is adopted and scaled across a major organisation.
The Company
Our client is investing significantly in AI as part of a large-scale transformation programme. Operating through a central AI Centre of Excellence, they are building scalable, production-ready AI solutions that deliver measurable business value. This is a chance to join early, influence standards and best practice, and play a key role in a growing AI engineering team.
The Role
You will:
- Design, build and deploy AI and machine learning solutions from concept to production
- Develop applications using LLMs, Generative AI and Agentic AI frameworks
- Deliver predictive, optimisation and automation use cases
- Build robust MLOps and LLMOps processes, including monitoring and evaluation
- Work closely with engineers, data scientists, product teams and business stakeholders
- Help establish AI engineering standards, governance and responsible AI practices
- Contribute to the long-term technical direction of the AI team
Your Skills & Experience
- Strong Python and software engineering background
- Commercial experience delivering machine learning models into production
- Hands-on experience with GenAI, LLMs and AI application development
- Knowledge of MLOps, LLMOps, CI/CD and containerisation
- Experience with cloud platforms, ideally Azure
- Understanding of model evaluation, monitoring and responsible AI
- Strong communication skills with the ability to translate business requirements into technical solutions
To Apply for this Job Click Here
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Frequently Asked Questions: Machine Learning Operations
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.
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
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 – 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 – 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 – 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 – 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.
