Machine Learning Jobs

Harnham - Data and Analytics Recruitment · France · €130,000 – €150,000 pa

Define the technical direction of large-scale production ML systems while remaining hands-on across the full model lifecycle, leading end-to-end initiatives in recommendation systems, audience targeting, bidding optimisation and customer lifecycle modelling. Work directly alongside the CTO in a high-scale real-time AdTech environment, combining technical strategy, platform engineering and applied ML as an individual contributor leader rather than a people manager.

Ocado · Kraków, Poland

Senior ML engineer role in a cross-craft data science team building prediction, ranking and personalisation systems for an e-commerce platform. Owns the full ML lifecycle on production systems, from experimentation and training to serving, monitoring and cost management, while coaching others and shaping reusable platform building blocks.

Relation Therapeutics · London

Lead the platform engineering team owning hybrid on-prem and cloud compute, Kubernetes clusters, and MLOps infrastructure such as Kubeflow notebooks, GPU training and model serving. Set architectural direction, mature CI/CD, observability and security controls, and ensure scientific compute meets the needs of ML and data science teams. Reports to the VP of Engineering in a matrixed TechBio environment.

M4 Partners · Stratford-upon-Avon

Hands-on product development role building and improving machine learning and AI capabilities for an in-house AI platform. Work spans information extraction, classification, retrieval, summarisation and decision support, with a strong focus on structured JSON outputs, evaluation datasets and deployment into customer applications.

Databricks · London

Serve as the trusted technical ML and AI expert for enterprise customers, architecting production-grade ML and AI workloads on the Databricks Data Intelligence Platform. Specialise in GenAI solutions such as RAG architectures, agentic systems and AI observability, while mentoring colleagues and influencing the platform's AI roadmap.

NES Group Ltd · London

Builds ML and graph-based identity resolution where rule-based matching falls short, improving customer-spine architecture and reducing identity drift. Defines matching-quality metrics, supports golden-layer integration and delivers a reusable identity-resolution framework. Requires entity resolution, fuzzy matching, MLOps and feature-store skills plus Customer Master/MDM experience.

Databricks · United Kingdom

Customer-facing technical authority for Generative AI across EMEA digital-native and startup accounts, shaping architectures and de-risking LLM use cases from RAG and agentic systems to fine-tuning and evaluation. Builds hands-on proofs of concept on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog) and mentors a ~70-person field engineering organisation.

Candour · Greater Manchester · £65,000 – £75,000 pa

Joins a core team of data scientists, engineers and analysts working in small teams on a two-week review cycle, delivering minimum viable solutions that scale. Covers the full data science lifecycle, from exploratory analysis and model building to deployment, monitoring and retraining of production models, while working with business stakeholders on pricing, customer intent and decision-making. Combines hands-on Python and TDD work with clear communication of findings.

Amazon · London

Customer-facing technical role driving GenAI/ML adoption for large UKI enterprises, designing architectures, leading workshops and proof-of-concepts, and advising C-suite leaders. Requires hands-on ML experience with PyTorch, TensorFlow, Hugging Face and AWS services like Bedrock and SageMaker, plus thought leadership through blogs and events.

Wayve · London

Owns the end-to-end release cycle for AI driving models, coordinating ML engineering, evaluation, data science, platform, testing and product teams. Defines release gates and promotion criteria from training through validation to fleet deployment, drives regression investigations and rollback decisions, and builds tooling and KPIs to remove bottlenecks in a non-deterministic ML environment.

Spencer Rose · Bristol · £450 – £480 pd

Designs, builds and deploys end-to-end AI/ML solutions for a banking client's Coach AI programme, including LLM-powered assistants, copilots and multi-agent agentic systems. Works across NLP, computer vision and voice AI, building ML pipelines and production deployment with MLOps, guardrails and Responsible AI governance. Also acts as senior lead, grooming the internal team and collaborating with stakeholders.

Harnham - Data and Analytics Recruitment · London · £120,000 – £150,000 pa

Lead and build a data science function at a fintech, owning strategy across risk, affordability and lending decisioning. Hands-on work designing and deploying machine learning models using credit risk, Open Banking and customer data, with a focus on model governance, MLOps and AI-powered decisioning alongside Product, Engineering and Credit Risk teams.

Relation Therapeutics · London

Join the Platform Team to design and scale a hybrid compute cluster spanning private and multiple public clouds. You will manage Kubernetes-based infrastructure, build core platform services and APIs, improve CI/CD pipelines, and set up monitoring, backup and security practices while supporting Machine Learning and Data Science teams.

Entrust · London

Lead a team of six applied scientists building vision-language models for document data extraction and sub-5MB models that run on mobile devices, using distillation and quantisation. The role is roughly 50% hands-on, contributing to dataset creation, training and evaluation code in Python and PyTorch, while setting the roadmap with product and engineering and publishing research.