Machine Learning Jobs

• London
• Hybrid
• Mid-level

Owns PX's editorial calendar and writes blog posts, web pages, thought leadership, scripts and event materials, translating deep technical work into clear narratives. Leads LinkedIn and Instagram, supports executive and technical speaking engagements, and partners with Talent on employer brand storytelling. Works cross-functionally with engineers, designers and external agencies in a fast-moving, high-ownership comms team.

LinkedIn · Instagram · Figma +1

• London
• Hybrid · 3 days in office
• Senior

Research Engineers build and optimise state-of-the-art AI models for drug design, working across the full ML lifecycle from experimentation and evaluation to production deployment. The role involves developing robust codebases, data pipelines and training infrastructure, with a focus on architectures such as Transformers, GNNs and diffusion models, in close collaboration with scientists and engineers.

JAX · PyTorch · XLA +6

• London
• Hybrid · 3 days in office
• Senior

Translate the company's security strategy into engineering reality, steering a multi-quarter InfoSec roadmap across Cloud Security, Platform IAM and Secure SDLC. Partner directly with engineering and ML teams to secure drug discovery pipelines and Agentic AI workflows, and build data-driven dashboards giving the CISO visibility into program health and risk reduction.

GCP · ISO 27001 · ISO 42001 +6

• Remote (UK)
• Remote
• Senior
• Permanent

Lead the design, build and deployment of production-grade machine learning systems for defence-sector clients, covering architecture, scalable infrastructure and MLOps standards. Work cross-functionally with engineers, data scientists and commercial teams while acting as a trusted technical advisor to customers. Requires eligibility for UK Security Clearance and 2-4 days per week on client sites.

TensorFlow · PyTorch · AWS +4

• Remote (UK)
• Remote
• Mid-level
• Permanent

Deliver bespoke, production-grade machine learning systems for defence clients, spanning the full ML lifecycle from architecture and scoping to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, embedding ethical AI in high-stakes situations. Requires UK Security Clearance and 2-4 days per week on client sites.

Scikit-learn · TensorFlow · PyTorch +5

• United Kingdom
• Remote
• Mid-level
• Permanent

Own the design, build and deployment of LLM-powered agentic workflows for enterprise customers, integrating models with tools, APIs and sensitive data sources. Work across the full product lifecycle on the North AI workspace platform, building reliable, observable and auditable agents, with up to 20-40% travel to customer sites.

North · LLM · RAG +3

• London
• On-site
• Senior · manages people
• Permanent

Lead teams of technicians running AWS data centre operations, owning the full infrastructure lifecycle from rack installation and break-fix maintenance to decommissioning. The role involves adopting high-density GPU, AI accelerator and liquid-cooling technologies, using Generative AI to automate workflows, and managing vendor relationships and Health & Safety standards.

AWS · GPU · AI Accelerators

• London
• Hybrid · 3 days in office
• £825 pd
• Senior
• Contract

Hands-on VP-level data scientist building generative AI, LLM and statistical modelling products for M&A and advisory bankers, taking solutions from prototype to production. Requires strong Python, production delivery and direct work with senior stakeholders in a demanding deal environment, with at least three days a week in the London office.

• United Kingdom
• Remote
• Mid-level
• Permanent

Builds and scales data pipelines from ingestion to delivery, implementing dbt best practices, data standards and quality controls. Develops self-service tooling and documentation so teams across Engineering, RevOps and Growth can access data independently, and creates AI agents to answer data questions. Works remotely within a lean, high-velocity data team.

dbt · Python · SQL +2

• Manchester

The OpportunityA leading financial consultancy is seeking a Data Analyst to join a high-profile finance data programme. This role is ideal for someone with strong SQL expertise and a solid understanding of financial services data who enjoys investigating complex datasets,…

• London
• Lead

Leads customer intelligence and value measurement across multiple markets, building CLV, RFM segmentation and incrementality models. Reconciles customer, transaction and margin data into defensible value estimates, partnering with Finance on reproducible methodologies. Delivers scalable pipelines using Databricks, Spark/PySpark and Python, with strong data validation and audit practices.

Databricks · Spark · PySpark +4

• Manchester
• On-site
• £550 – £600 pd
• Mid-level
• Contract

Contract data science role focused on building and evaluating AI/ML solutions, including classical models and LLM-based applications on Google Cloud Platform. Day-to-day work spans prompt engineering, RAG concepts, experiment design, model evaluation and documentation, alongside requirements gathering, code review and troubleshooting with project managers and developers.

GCP

• London
• Mid-level
• Permanent

Hands-on analysis and modelling of large multimodal datasets to measure and improve Rufus, Amazon's conversational shopping assistant. Designs and analyses A/B tests, builds predictive models and metrics dashboards, and works with NLP, information retrieval and recommender systems alongside scientists and engineers in a London team of around 150.

Large Language Models · Knowledge Graphs · ETL

• London
• £80,000 – £110,000 pa

Hands-on data science role building a dedicated Claims Analytics capability for an international insurer. You will develop statistical and machine learning models for claims forecasting, triage, severity, recoveries and resource planning, working with structured and unstructured claims data alongside Claims, Underwriting, Actuarial and Technology teams.

• London
• Hybrid · 2 days in office
• £55,000 – £65,000 pa

Develops predictive models focused on propensity modelling, customer segmentation and behavioural analytics for a range of client challenges. Works across the full project lifecycle, from data discovery and model training to presenting findings to clients, alongside analysts, project managers and subject matter experts. Combines hands-on Python and SQL work with direct client interaction.

Databricks · Azure