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6,007
It Software Engineer jobs in United Kingdom
AI Augmented Software Engineer
LeoVegas Group
Tees Valley
On-site
GBP 70,000 - 90,000
5 days ago
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Senior Software Engineer UK
Tink
Greater London
Hybrid
GBP 70,000 - 90,000
5 days ago
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Software Engineer
Hawk-Eye Innovations
City of Westminster
Remote
GBP 80,000 - 100,000
5 days ago
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Senior Software Engineer - Energy & Resources Analytics Platform
Baringa Partners
City of Westminster
Hybrid
GBP 125,000 - 150,000
6 days ago
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Software Developer at well-funded personal finance platform
Jack & Jill/External ATS
United Kingdom
Remote
GBP 50,000 - 70,000
6 days ago
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Discover more opportunities than anywhere else. Find more jobs nowC# Software Engineer
Service Service
Norwich
Hybrid
GBP 80,000 - 100,000
6 days ago
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Senior Embedded Software Engineer
Vertical Aerospace
Bristol
On-site
GBP 100,000 - 125,000
6 days ago
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Applied AI Engineer, Senior/Staff Fullstack Software Engineer
Marks and Spencer plc (UK)
Greater London
Hybrid
GBP 100,000 - 120,000
6 days ago
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Connect with headhunters to apply for similar jobsPrincipal Software Engineer - Unified Client Experience (UCX)
Hargreaves Lansdown
Greater London
Hybrid
GBP 95,000 - 115,000
6 days ago
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Senior Software Engineer - Unified Client Experience (UCX)
Hargreaves Lansdown
Greater London
Hybrid
GBP 97,000 - 115,000
6 days ago
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Senior Software Engineer – ESG Data & Cloud Pipelines
FactSet Research Systems Inc.
City of Westminster
On-site
GBP 80,000 - 100,000
6 days ago
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Senior Software Engineer, ESG Data & Cloud Pipelines
FactSet Research Systems Inc.
City of Westminster
On-site
GBP 80,000 - 100,000
6 days ago
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Senior Software Engineer, Photos UI
Apple Inc.
Hartford
On-site
GBP 70,000 - 90,000
6 days ago
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Paid Summer Software Engineer Placement Real Time Avionics
Leonardo UK
Newcastle upon Tyne
On-site
GBP 80,000 - 100,000
6 days ago
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Summer Placement Software Engineer
Leonardo UK
Newcastle upon Tyne
On-site
GBP 80,000 - 100,000
6 days ago
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Senior Embedded Software Engineer - Aero DO-178C
Vertical Aerospace
Bristol
On-site
GBP 100,000 - 125,000
6 days ago
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Senior Lead Software Engineer: KDB, Real-Time Data & AWS
JPMorgan Chase & Co.
City of Westminster
On-site
GBP 85,000 - 110,000
6 days ago
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Sr Lead Software Engineer - KDB - Vice President
JPMorgan Chase & Co.
City of Westminster
On-site
GBP 85,000 - 110,000
6 days ago
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Lead Software Engineer — Digital Trade Docs (Hybrid)
WiseTech Global
Cheadle
Hybrid
GBP 70,000 - 90,000
6 days ago
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Lead Software Engineer
WiseTech Global
Cheadle
Hybrid
GBP 70,000 - 90,000
6 days ago
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Senior Software Engineer
Northrop Grumman
Preston
On-site
GBP 100,000 - 125,000
6 days ago
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Software Engineer - Amazon Connect
Capital One
Barrow upon Soar
Hybrid
GBP 55,000 - 75,000
6 days ago
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AI Augmented Software Engineer
LeoVegas Group
Tees Valley
On-site
GBP 70,000 - 90,000
Full time
5 days ago
Be an early applicant
Job summary
A leading online gaming company in the UK is seeking a Human Data Manager to own the end-to-end strategy for human data across AI training and evaluation. In this role, you will design human data tasks, oversee pipelines, and ensure high-quality data insights. The ideal candidate will have extensive experience in machine learning and data workflows, proficiency in collaborating with cross-functional teams, and a strong background in data quality management. This position offers a key opportunity to shape human data practices for product improvement.
Qualifications
- 6-10+ years working with ML/AI systems, including 3+ years owning human data workflows.
- Deep understanding of LLM training stacks and post-training methods.
- Proven track record working with annotation vendors or internal labeling teams at scale.
Responsibilities
- Own the end-to-end strategy and roadmap for human data.
- Design and iterate high-signal human data tasks in partnership with teams.
- Architect and oversee human data pipelines across vendors and internal teams.
Skills
Machine Learning/AI systems
Data quality strategies
Collaboration with stakeholders
Communication skills
Data pipelines architecture
Tools
Annotation tools
Internal platforms for RLHF
Job description
Qualifications
- 6-10+ years working with ML/AI systems, including 3+ years owning human data / labeling / RLHF / evaluation workflows
- Deep understanding of LLM training stacks and post-training methods (e.g. SFT, RLHF, preference learning, DPO, RLAIF) at a conceptual level
- Hands‑on experience designing human data tasks: specs, rubrics, rating scales, and annotation guidelines
- Proven track record working with annotation vendors or internal labeling teams at scale (multi‑country, multi‑language, multi‑project)
- Strong background in data quality: sampling, inter‑rater agreement, disagreement analysis, bias detection, and QA strategies
- Experience building or heavily using tools for labeling, RLHF, or evals (internal platforms, Scale/Surge/Appen‑style tools, or custom pipelines)
- Comfortable collaborating with research, product, infra, and ops stakeholders and translating between them
- Solid understanding of privacy, compliance, and data‑provenance concerns for human data in AI systems
- Ability to define metrics and KPIs that connect human‑data work to model performance and business outcomes
- Strong communication skills and the ability to write clear specs, rubrics, and internal documentation
- Bonus: prior experience leading a team (data ops, RLHF ops, annotation ops, or evals) in an AI lab or data vendor
Responsibilities
- Own the end‑to‑end strategy and roadmap for human data across training, post‑training, and evaluation
- Design and iterate high‑signal human data tasks, specs, and rubrics in partnership with research and product teams
- Architect and oversee human data pipelines across vendors, geographies, and internal teams
- Define and implement QA strategies, calibration processes, and monitoring to ensure label and feedback quality
- Work closely with researchers to turn human data into reward models, fine‑tuning datasets, and eval suites
- Build and maintain a clear provenance and governance layer for all human data (sources, contracts, restrictions, jurisdictions)
- Evaluate and onboard external vendors and tools; benchmark their performance and cost against internal options
- Develop metrics and dashboards that connect human data investments to model improvements and key product metrics
- Identify and address operational bottlenecks in human data workflows; propose and drive process or tooling changes
- Collaborate on the design of new internal products / infra for task authoring, routing, QA, and evaluation
- Represent the "human data" perspective in cross‑functional planning, ensuring it is treated as core infrastructure, not an afterthought
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.