58 jobs for “Data Engineer”
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...
Capital One Loughborough
Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production.
Capital One Lincoln
Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production.
Harnham - Data and Analytics Recruitment London £100,000 – £150,000 pa
Lead a data research function, defining strategy for sourcing and evaluating new datasets and assessing their quality, reliability and commercial value. Oversee statistical analysis, modelling and time series research, run end-to-end projects, and mentor a small team while driving adoption of AI and advanced analytics.
Faculty London
Serve as a high-level technical authority steering the most complex AI projects, architecting scalable large-scale systems and setting technical direction for flagship initiatives. Provide authoritative advice across business units, influence company-wide technical strategy, and act as a respected expert for internal teams and external customers in the financial services space.
Michael Page Birmingham £85,000 – £95,000 pa
Lead enterprise-wide data and analytics capability for a large social housing organisation on a 12-month fixed term contract. Own the data strategy, governance framework, enterprise data architecture and BI/analytics delivery, while managing a data function and advising executive and senior leadership teams. Requires one day per week onsite at the Birmingham head office.
Michael Page Birmingham £85,000 – £95,000 pa
Lead enterprise-wide data and analytics capability on a 12-month fixed term contract, owning the data strategy, governance framework, architecture roadmap and BI services. The role chairs governance forums, oversees cloud data platforms and analytics, and manages a data function while reporting to executive teams. One day per week is required onsite in Birmingham.
Faculty Remote (UK)
Lead technical direction on complex, business-critical AI projects for defence clients, architecting production-grade machine learning solutions and overseeing end-to-end delivery. Combines hands-on ML depth with strategic oversight, mentoring data scientists and managing demanding client relationships. Requires UK Security Clearance and 2-4 days per week on client sites.
Synthesia London
Design and build scalable, reliable systems for training, serving, and operating generative AI models in production. Develop internal tooling and automation to reduce operational overhead for researchers and engineers, with a focus on agentic workflows and platform-level abstractions. Collaborate closely with research and product teams to improve observability, debugging, and developer experience across distributed GPU environments.
Harnham - Data and Analytics Recruitment London £110,000 – £120,000 pa
Own the fraud strategy for a technology-led financial services business, blending strategic leadership with hands-on data science. Build and deploy AI-driven fraud identification, including classifiers, anomaly detection, document intelligence and network analysis, and run fraud models in production with testing, CI/CD and monitoring. Partner with Product, Engineering, Credit and Operations to embed controls.
Databricks United Kingdom
Customer-facing technical authority on Generative AI, LLMs and applied ML for digital-native and startup accounts across EMEA. Shapes architectures, builds hands-on proofs of concept and reference implementations on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog), leads fine-tuning and evaluation engagements, and mentors the wider field engineering organisation.
Synthesia London
A principal-level individual contributor role driving deep, self-directed investigations into user behaviour across acquisition, activation, usage and the wider customer journey. The work spans causal and statistical analysis, churn and other models, unstructured and AI-specific data, and opportunity sizing, with findings feeding experiments, roadmap and strategy. Distinct for its proactive, no-brief mandate and close partnership with Product, Engineering, Growth and commercial teams.
dunnhumby London
You will act as a trusted partner to key clients, translating customer data into actionable insight and recommendations that drive growth. Working within a fast-paced commercial team alongside solutions and media managers, you will build relationships with stakeholders and take a consultative approach to selling appropriate solutions.
Databricks London
Lead a team of Enterprise Named and Strategic Account Executives covering Telco and Utilities customers across UKI, owning team quota and growing platform consumption. The role sets territory plans, individual quotas and patches, drives forecast accuracy and partners cross-functionally on a full revenue and customer success process. It reports to the RVP, Enterprise and emphasises methodology-based coaching such as MEDDPIC and value-based selling to C-suite stakeholders.
dunnhumby London
Sits within the Insight Enablement function of the Tesco Insights team, shaping enablement strategy and transformation initiatives so client-facing teams can maximise the impact of products, tools and propositions. Defines frameworks, connects stakeholder needs with product developments, and champions adoption of AI and emerging technologies to improve efficiency and client outcomes.
