ML PLATFORMING
TALENT SOLUTIONS
Our expertise in data recruitment uniquely positions us to understand the complexities of Machine Learning Platforming jobs. We recognize the importance of these positions in developing, managing, and optimizing the platforms that underpin successful ML operations.
Our recruitment strategies are designed to identify professionals who are not only skilled in ML technologies but also proficient in creating and maintaining robust ML platforms.
Harnham's extensive global network enables us to tap into a rich talent pool, ensuring access to the best candidates in the ML Platform domain.
Our local market knowledge across the United States, Europe, and the United Kingdom allows us to match your organization with candidates who fit your technical requirements and company culture, ensuring a seamless integration into your team.
WHY
HARNHAM?
Our recruitment strategy is centred on understanding the unique needs and challenges of your organization. We provide a customized approach to ensure we deliver candidates that not only have the required technical expertise for Machine Learning Platforming jobs but also align with your strategic goals and values.
As a leading global authority in data recruitment, Harnham boasts a large team of dedicated specialists who understand the nuances of the ML Platform space.
This extensive network allows us to offer superior recruitment solutions, tailored to the specific needs of your organization, regardless of industry.
With over twenty years in the field, Harnham has a proven track record in data talent acquisition. This experience provides us with the insight to effectively navigate the ML Platform recruitment landscape, ensuring we deliver candidates who can drive your ML initiatives forward.
OUR
SERVICES
As a global leader in data recruitment, our expansive team of specialists offers unrivalled insights and solutions, ensuring we meet the specific needs of your organization, regardless of industry for Machine Learning Platforming jobs.
- Permanent Recruitment: We specialize in identifying long-term talent for your ML Platform team, focusing on candidates who can grow and evolve with your organization.
- Contract Recruitment: Our contract recruitment services offer flexibility, allowing you to adapt to project-specific or interim ML Platform needs with skilled professionals.
- Executive Search: We find industry-leading executives capable of steering your ML Platform strategies towards success and innovation.
Contact us today to explore how our bespoke talent solutions can elevate your organization's ML capabilities.
JOBS
LATEST ML PLATFORMING
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Principal Data Scientist
London
£100000 - £125000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead Data Scientist
London
If you’re a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You’ll shape the problems, design and build the solutions, and see your models deployed into live environments – not parked as endless POCs.
THE COMPANY
This fast-growing consulting firm helps organisations across the public sector, defence and commercial markets deliver measurable improvements in performance through data, AI and digital solutions. They are building a modern AI & Digital capability that sits at the front of transformation programmes, working shoulder-to-shoulder with clients on their toughest operational challenges.
THE ROLE
As a Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building.
- Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements
- Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models end-to-end
- Leading technical workstreams, managing small teams and ensuring projects are delivered on time and to a high standard
- Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders
- Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics
YOUR SKILLS & EXPERIENCE
- Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples of end-to-end delivery
- Proven ability to shape, not just execute: from defining the problem and designing the solution, through to delivery and measurement of impact
- Consulting capability – comfortable running client workshops, identifying opportunities, influencing senior stakeholders and supporting pitches
- Evidence of measurable commercial or operational impact (e.g. revenue growth, cost reduction, efficiency gains, service improvement)
- Hands-on experience building models and turning prototypes into robust, production-ready solutions
- Experience leading teams or technical workstreams in a project environment
- UK citizenship (for security clearance purposes) and willingness to travel across the UK 3 days per week, depending on client needs
Nice-to-have experience:
- Background in a consulting environment or a high-performing in-house DS/AI team
- Exposure to sectors such as defence, public sector and consumer/retail
- Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential)
- A mix of technical, product and operational experience – comfortable talking both code and business outcome
To Apply for this Job Click Here
Principal AI Engineer
City of London
£85000 - £95000
+ Data Engineering
PermanentCity of London, London
To Apply for this Job Click Here
PRINCIPAL AI ENGINEER
Up to £95,000 + BENEFITS
LONDON (Hybrid)
This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production‑grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency.
THE COMPANY:
They are a technology‑led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best‑practice from day one.
THE ROLE:
- Build and operate production‑ready AI agents on GCP
- Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling.
- Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy.
- Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance.
- Shape engineering standards, patterns and tooling as part of a new AI function.
YOUR SKILLS AND EXPERIENCE:
- Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery.
- Deep hands‑on expertise with GCP services
- Strong Python skills
- Practical experience with LLMs, embeddings, RAG architectures and vector databases.
- A track record of building production‑grade AI systems, including observability, evaluation and automated testing.
- DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling.
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £95,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
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
Principal AI Engineer
Sheffield
£85000 - £90000
+ Data Engineering
PermanentSheffield, South Yorkshire
To Apply for this Job Click Here
PRINCIPAL AI ENGINEER
Up to £90,000 + BENEFITS
SHEFFIELD (Hybrid)
This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production‑grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency.
THE COMPANY:
They are a technology‑led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best‑practice from day one.
THE ROLE:
- Build and operate production‑ready AI agents on GCP
- Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling.
- Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy.
- Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance.
- Shape engineering standards, patterns and tooling as part of a new AI function.
YOUR SKILLS AND EXPERIENCE:
- Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery.
- Deep hands‑on expertise with GCP services
- Strong Python skills
- Practical experience with LLMs, embeddings, RAG architectures and vector databases.
- A track record of building production‑grade AI systems, including observability, evaluation and automated testing.
- DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling.
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £90,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Principal Software Engineer – Data Platform
San Francisco
$230000 - $280000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Principal Software Engineer – Data Platform
San Francisco, CA (Remote Eligible – US Only)
$230K-$280K base + equity
Are you ready to lead the design and build of a world-class data platform from the ground up?
A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.
As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.
Why this role?
- Join a growing Data Platform team
- Own the technical vision and architecture end-to-end
- Tackle petabyte-scale data challenges and real-time streaming use cases
- Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
- Drive platform evolution to support AI/ML and company-wide analytics
What You’ll Do
- Design and build a next-gen data platform to power product and internal use cases
- Architect for batch + streaming, scalability, fault tolerance, and low latency
- Lead data modeling, warehousing, governance, and ingestion best practices
- Champion engineering excellence and mentor senior engineers
- Align technical decisions with long-term business strategy
- Optimize for performance, cost, and resiliency in a modern cloud environment
What We’re Looking For
- 8+ years of experience in data engineering or platform architecture
- 5+ years at the Principal Engineer level or equivalent
- Deep expertise with Kafka (and its ecosystem), streaming data systems
- Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
- Cloud-native architecture expertise (AWS, GCP, or Azure)
- Track record of designing data systems for compliance and governance
- Experience scaling systems to support petabyte-level workloads
- Excellent communication, collaboration, and leadership skills
- Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth
To Apply for this Job Click Here
Data Science Manager
Canada
$170000 - $220000
+ Data Science & AI
PermanentCanada
To Apply for this Job Click Here
Data Science Manager
Location: Canada | EST Hours Required
Salary: $175-220k base + bonus
We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.
This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.
You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.
It’s startup-level ownership with the scale and data of a large, active user base.
What You’ll Do
- Design and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scales
- Define success metrics, monitor production models, and iterate until business results improve
- Hire, coach, and develop data scientists; set a high bar for ownership, craft, and impact
- Partner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutions
- Make pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability
What We’re Looking For
- 6+ years building and deploying consumer-facing ML systems in production
- 2+ years leading or managing data scientists or ML engineers
- Experience building teams, not just operating as an IC
- Strong Python skills
- Experience with Databricks or similar ML platforms
- Comfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoring
- Proven ability to translate ambiguous business problems into measurable ML outcomes
- Strong bias toward shipping, iteration, and impact
- Sound judgment on when to ship an MVP vs. invest in robustness
- Actively uses AI tools to accelerate development and expects the same from their team
Nice to Have
- Experience with experimentation platforms or causal inference
- Background in subscription or SaaS businesses
- Familiarity with TypeScript or production engineering practices
To Apply for this Job Click Here
Senior Applied AI Scientist
New York
$190000 - $210000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Computer Vision Scientist
Fully Remote – HQ in New York, New York
$190,000-210,000 base salary + equity
THE COMPANY
Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.
THE ROLE
- You will be responsible for computer vision and multimodal model research, building and development for the company’s agentic AI product across imaging centers and hospitals
- You will report directly to senior leadership and work closely on technical direction
- Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
- You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
- 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, mentoring junior team members
YOUR SKILLS AND EXPERIENCE
The successful Senior Computer Vision Scientist will likely have the following skills and experience:
- 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
- Experience working in a scaling startup is preferred
- 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
- Cloud experience in AWS, Azure or GCP
- DevOps exposure with CI/CD pipelines preferred
- History of working on models from concept to production / end-to-end / 0-1
- Applied research background in a commercial setting required
- Publication and/or patent history highly preferred
- Experience in settings wearing multiple hats
- Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
- History of partnering with non-technical stakeholders required
- Experience owning projects
- PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar
THE BENEFITS
A competitive base salary of $190,000-210,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal
To Apply for this Job Click Here
Lead Data Scientist
London
£90000 - £100000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Principal Data Scientist
London
If you’re a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You’ll shape the problems, design and build the solutions, and see your models deployed into live environments – not parked as endless POCs.
THE COMPANY
This fast-growing consulting firm helps organisations across the public sector, defence and commercial markets deliver measurable improvements in performance through data, AI and digital solutions. They are building a modern AI & Digital capability that sits at the front of transformation programmes, working shoulder-to-shoulder with clients on their toughest operational challenges.
THE ROLE
As a Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building.
- Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements
- Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models end-to-end
- Leading technical workstreams, managing small teams and ensuring projects are delivered on time and to a high standard
- Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders
- Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics
YOUR SKILLS & EXPERIENCE
- Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples of end-to-end delivery
- Proven ability to shape, not just execute: from defining the problem and designing the solution, through to delivery and measurement of impact
- Consulting capability – comfortable running client workshops, identifying opportunities, influencing senior stakeholders and supporting pitches
- Evidence of measurable commercial or operational impact (e.g. revenue growth, cost reduction, efficiency gains, service improvement)
- Hands-on experience building models and turning prototypes into robust, production-ready solutions
- Experience leading teams or technical workstreams in a project environment
- UK citizenship (for security clearance purposes) and willingness to travel across the UK 2-3 days per week, depending on client needs
Nice-to-have experience:
- Background in a consulting environment or a high-performing in-house DS/AI team
- Exposure to sectors such as defence, public sector and consumer/retail
- Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential)
- A mix of technical, product and operational experience – comfortable talking both code and business outcome
To Apply for this Job Click Here
Principal AI Platform Engineer
Sheffield
£85000 - £90000
+ Data Engineering
PermanentSheffield, South Yorkshire
To Apply for this Job Click Here
PRINCIPAL AI PLATFORM ENGINEER
Up to £90,000 + BENEFITS
SHEFFIELD (Hybrid)
This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production‑grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency.
THE COMPANY:
They are a technology‑led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best‑practice from day one.
THE ROLE:
- Build and operate production‑ready AI agents on GCP
- Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling.
- Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy.
- Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance.
- Shape engineering standards, patterns and tooling as part of a new AI function.
YOUR SKILLS AND EXPERIENCE:
- Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery.
- Deep hands‑on expertise with GCP services
- Strong Python skills
- Practical experience with LLMs, embeddings, RAG architectures and vector databases.
- A track record of building production‑grade AI systems, including observability, evaluation and automated testing.
- DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling.
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £90,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Chief Data Scientist – TS/SCI Clearance
Washington
$325000 - $375000
+ Data Science & AI
PermanentWashington, District of Columbia
To Apply for this Job Click Here
Chief Data Scientist – TS/SCI Clearance
Washington, DC – 4 days/week onsite
$325,000 – $375,000 + Bonus + Benefits
Harnham is partnered with a cutting-edge government contractor in the DC area. They are looking for an AI leader with a strong background in building production-grade LLM / natural language platforms in federal spaces. This person will lead a growing part of the AI research team and partner with government agencies on projects across defense, cybersecurity, robotics and human language technology.
THE ROLE
As the Chief Data Scientist, you will be required to:
- Show technical leadership of machine learning and NLP models for production
- Work closely across different ML and engineering teams on both model development and production
- Own new projects supporting various business functions and product development
- Partner directly with the C-suite on data science direction
- Expand upon existing AI platforms
- Provide deep knowledge and leadership in data science
YOUR SKILLS AND EXPERIENCE
The successful Chief Data Scientist will likely have the following skills and experience:
- Top Secret Clearance required (TS/SCI Poly preferred)
- PhD in Computer Science or similar STEM field required
- History of owning development of scalable ML models in federal spaces
- Team management experience required
- Strong Python coding – ability to step in to support the team as needed
- High level of comfort partnering with executive teams; history of pitching new concepts / getting buy-in
- Experience with NLP preferred
- Defense or cybersecurity experience preferred
- Comfortable with LLMs, Generative AI and AI Agents
- Proven communicator with technical team, clients and senior stakeholders
THE BENEFITS
A competitive base salary of $325,000 – $375,000 + bonus + benefits
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Team Leadership | Model Development | Machine Learning | Natural Language Processing | Production | Stakeholder Management | Innovation | Technology | Government | Federal Agencies | DoD | DoW | Department of War | Department of Defense | AI | Artificial Intelligence | LLM | Large Language Models | Agentic AI | AI Agents | Top Secret | Clearance | Cleared | Cybersecurity | Applied Research
To Apply for this Job Click Here
Senior Data Platform Engineer
Newcastle upon Tyne
£90000 - £105000
+ Data Engineering
PermanentNewcastle upon Tyne, Tyne and Wear
To Apply for this Job Click Here
Senior Data Platform Engineer
Remote, United Kingdom
£90,000 to £105,000 base salary
This is an opportunity to join a small, fast‑growing team building large‑scale data and AI platforms used to drive advanced analytics and high‑volume data processing. You will work at the heart of their next‑generation data architecture, designing distributed systems that support cutting‑edge machine learning workloads at scale.
The Company
They are a specialist AdTech organisation using advanced data processing and AI to understand consumer behaviour at massive scale. Their platform ingests billions of daily events and supports a suite of data‑driven products used by clients for insight, analytics and digital activation. With around ten people in the business and a growing engineering function, they offer a collaborative, authentically driven environment with no bureaucracy and significant ownership from day one.
The Role
In this Senior Data Platform Engineer position, you will:
* Build and scale distributed data pipelines capable of handling large, high‑throughput workloads.
* Develop core backend services in either Python or Go and learn the other as needed.
* Work across big data processing, data warehousing and high‑volume SQL‑based modelling.
* Contribute to the architecture underpinning ML and GPU‑backed inference workloads.
* Develop resilient, cost‑efficient systems that scale as data volumes grow.
* Improve the existing platform and help build new tools, pipelines and client‑facing features.
* Own platform reliability, performance and data integrity across the ecosystem.
Your Skills and Experience
You will need:
* Strong commercial experience in Python or Go, with the ability to work across both.
* Proven capability in distributed systems, large‑scale data processing, and high‑volume data environments.
* Deep experience with SQL and modern cloud data warehousing.
* Experience with big data tooling and best practices.
* The ability to design systems for scale, reliability and cost‑efficiency.
Nice to have skills include AWS, Kubernetes, GCP BigQuery, GPU or Ray experience, and exposure to AdTech or privacy‑first data environments.
How to Apply
If this sounds like the right next step for you, apply today to be considered for this Senior Data Platform Engineer role.
To Apply for this Job Click Here
Senior Machine Learning Engineer
New York
$180000 - $200000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer
Remote, HQ in New York, New York
$180,000-200,000 base salary + bonus + benefits
Harnham is partnered with a well-known financial services company that is disrupting a key area of financial services. They are building out a proprietary LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level ML Engineer in the business and lead all LLM projects from end-to-end.
THE ROLE
- You will be responsible for end-to-end machine learning model development and deployment for the company’s AI platform
- You will report directly to senior leadership and work closely on technical direction
- Own development of new PoCs and quickly build into production, particularly focusing on novel NLP and LLM applications
- You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
- 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
YOUR SKILLS AND EXPERIENCE
The successful Senior Machine Learning Engineer will likely have the following skills and experience:
- 3-5 years of commercial experience (depending on education level) preferred with a focus on building and deploying natural language and LLM models
- Experience working in a fast-moving organization is preferred
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel NLP and LLM AI platforms with large datasets
- Cloud experience in AWS, Azure or GCP preferred
- History of working on models from concept to production / end-to-end / 0-1
- Experience in settings wearing multiple hats
- Domain experience in financial services, investment or private equity a plus
- History of partnering with non-technical stakeholders required
- Experience as a player/coach or manager for AI teams preferred
- PhD or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $180,000-200,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Fortune 500 | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture
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.
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
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 – 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 – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
Candidate – 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
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.
