2554 IT & Software Developer jobs in the UK
Requirements
Must:
- Proven experience delivering high-impact ML/AI solutions in complex, data-rich environments, including production deployment and post-launch iteration.
- Advanced hands-on proficiency in Python and core DS/ML libraries; strong SQL and familiarity with distributed data tooling.
- Strong understanding of experimentation and statistical inference; experience designing trustworthy A/B tests and measurement frameworks.
- Strong grasp of ML system design and the model lifecycle (from discovery and experimentation through to deployment, monitoring and governance).
- Ability to lead cross-functional technical work with multiple stakeholders and to influence without authority.
- Excellent communication and storytelling skills, able to convey complex ideas simply and align teams on decisions.
- Experience mentoring other data scientists and shaping best practices across a team.
- Background in a quantitative field (e.g., statistics, computer science, mathematics, engineering) or equivalent applied experience.
Responsibilities
- Lead mission-critical data initiatives from discovery to deployment and continuous improvement, with clear success metrics and guardrails.
- Tackle complex, ambiguous problems through research, structured experimentation, modelling and optimisation; reduce risk through iterative hypotheses and A/B and/or multivariate tests.
- Define the technical approach and roadmaps for high-priority use cases within a domain using a range of paradigms and frameworks.
- Apply and contribute to best practices for experimentation, modelling and measurement, ensuring reproducibility, versioning and lineage.
- Review and raise the standards on critical models, translating research into pragmatic, production-ready methods.
- Partner with machine learning and AI engineers to productionise robust batch/real-time services following best practices.
- Act as a technical coach and mentor across squads; provide design/analysis reviews and uplevel senior ICs and early-career talent.
- Influence roadmaps by collaborating with Product, Engineering and Data leaders on priorities and trade-offs.
- Foster a culture of learning, transparency and cross-functional collaboration; share decisions, assumptions and outcomes openly.
- Evaluate emerging research and market trends and turn promising ideas into prototypes and patterns.
Description
At Compare the Market, we’re a purpose-driven business powered by tech and AI, based in our Hybrid London office. We are building high-performing, results-driven teams that support growth and innovation. We create an environment where you can bring your authentic self and see the direct impact of your work on our customers. Our commitment to diversity fosters an inclusive workplace where everyone feels empowered to grow and contribute. Join us to help make financial decision-making effortless for millions and be a part of a culture that values results and rewards progress.
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You can find Data Engineer salaries in the UK here.
How many Data Engineer jobs are in the UK?
Currently, there are 2554 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the UK a good place for Data Engineers?
The UK is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the UK?
Mas & Pas Limited, Drive DeVilbiss Healthcare, Accenture, Eaton, Floor Giants, Bank of England, Sellafield Ltd among others, are currently hiring for Data roles in the UK.
The company with most openings is Experis as they are hiring for 92 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.
The company with most openings is Experis as they are hiring for 92 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.