120 jobs for “Data Engineer”
Tenth Revolution Group London £80,000 pa
Leads analytical and data-focused delivery workstreams on large-scale transformation programmes, owning roadmaps and managing teams of analysts and engineers. Bridges business stakeholders and technical delivery, defining requirements, governance and best practices while shaping cloud-based data products using SQL, Python and platforms like Fabric, Databricks or Snowflake.
Tenth Revolution Group London £85,000 – £115,000 pa
Lead Databricks Architect-London (Hybrid)Databricks - Azure - Data & AI Leadership - Up to £115,000Are you looking to take ownership of large-scale Data & AI transformation programmes while leading teams and shaping technical delivery?Due to continued growth, we're hiring multiple...
Palantir Technologies Washington, United States US$10,500 pm
Internship on Palantir's defense product vertical, contributing production code to the Gotham platform used by military command centers. Work spans the full product lifecycle, from ideation and prototyping to shipping, on features like geospatial mapping, alert triage and ML-driven planning tools, with a dedicated mentor and small product teams.
Palantir Technologies Sydney, Australia
Forward Deployed Software Engineers work directly with customers to understand their hardest problems and build data-driven solutions, spanning architecture discussions, large-scale data wrangling, custom web apps and executive-level strategy. Interns own end-to-end execution of high-stakes projects in small, lightly supervised teams, working with Python, Java, C++ or TypeScript.
Databricks London
Owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse, driving performance innovations like Low Shuffle Merge and Deletion Vectors. The role involves low-level systems debugging, performance optimisation on large production clusters, architecture design, and technical leadership including mentoring and sprint planning. Distinct for its scale: millions of VMs, terabytes of logs and exabytes of data daily, with active open-source contribution.
Innova Solutions London £50 pa
Applies statistics and time-series analysis to mobile app telemetry, turning raw data into decision-ready insights and dashboards for leadership. Builds multi-page Streamlit dashboards and integrates API/SQL sources including Snowflake and OpenSearch, working end-to-end from data source to analysis to dashboard alongside QE, delivery and product teams.
Parkside London £100,000 – £150,000 pa
Hands-on role leading AI feature development in a legal tech SaaS platform, building ML models for document parsing, search, classification and summarisation. Involves integrating LLMs with guardrails, evaluation and monitoring, optimising inference on AWS, and building training data pipelines. Works in Scrum squads with engineering, product and QA.
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. The role covers ML pipelines, MLOps deployment, NLP, computer vision and voice AI, plus AI guardrails, responsible-AI governance and mentoring a team as senior lead.
Bowers Partnership London £825 pd
Hands-on VP-level data scientist building generative AI, LLM/NLP and statistical modelling products end to end for a boutique investment bank's M&A and advisory bankers. Works in a small team taking prototypes into production, writing production-quality Python and explaining models to senior non-technical stakeholders. M&A experience is essential.
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 experience plus Customer Master/MDM background.
NES Group Ltd London
Leads customer analytics across multiple markets, building CLV, RFM segmentation, incrementality measurement and value frameworks that give leadership defensible commercial insight. Partners with Finance to reconcile customer, transaction and margin data, and builds scalable pipelines in Databricks, Spark and Python with strong validation and audit practices.
Harnham - Data and Analytics Recruitment London £70,000 – £90,000 pa
Owns pricing-focused data science, building predictive models of risk, customer behaviour and price sensitivity, and integrating new data sources to sharpen rates and tariffs. Uses simulation to estimate claim frequency and price responses, then translates findings into commercial recommendations for senior stakeholders. Hybrid role with at least one day a week in the London office.
Isomorphic Labs London
Research engineers translate frontier research concepts into practical implementations, building and optimising state-of-the-art AI models such as Transformers, GNNs and diffusion models, plus the codebases, data pipelines and infrastructure for training and evaluation. The role spans the full ML lifecycle from experimentation and benchmarking to production integration, working closely with research scientists in a cross-disciplinary drug design team.
Isomorphic Labs London
Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Architect next-generation inference services, solve core scaling limits, and set strategy and roadmaps while partnering with research, product and operations teams. Distinct for its focus on high-throughput GPU/TPU model serving within a biotech drug-discovery setting.
University of Essex Ipswich £40,000 – £45,000 pa
A KTP Associate role embedded at Distag QCS in Ipswich, working with a large, messy ERP dataset never designed for machine learning. The post holder shapes the data, builds reliable models, and leads the introduction of data-driven decision making in a business with no existing in-house data science capability, balancing hands-on development with commercial priorities.
