Artificial Intelligence Jobs

• Nottingham
• £26,100 pa
• Junior

Supports the planning, delivery and optimisation of digital marketing campaigns for a diverse client portfolio, with hands-on work across Answer Engine Optimisation, SEO, content, social media, email marketing and analytics. Uses AI tools such as ChatGPT, Copilot, Gemini and Perplexity to research how clients appear in AI-powered search, build prompts and workflows, and create optimised content. Training is provided to build specialist expertise in this emerging area.

ChatGPT · Microsoft Copilot · Gemini +3

• Bradford
• On-site
• £40,000 – £50,000 pa

Hands-on role spanning the full data lifecycle, from collecting, cleansing and transforming datasets to advanced analysis and predictive modelling. You will build data pipelines, models and analytical frameworks supporting AI and machine learning initiatives, translate business requirements into technical solutions, and present findings to stakeholders while potentially mentoring learners and junior team members.

Python · SQL

• Exeter
• On-site
• £21,805 pa
• Entry level
• Contract

Investigates whether small language models running on local workstations or on-premises servers can serve as reliable agents for bounded business workflows. The student will distil agentic capability from large teacher models via harness optimisation and fine-tuning on execution traces, measuring reliability, cost, latency and data locality, and releasing open tooling for UK SMEs.

Large Language Models

• Zürich, Switzerland
• Entry level
• Internship

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts to analyse and optimise complex AI and HPC algorithms on modern CPU and GPU architectures. The role also involves publishing optimisation techniques via developer blogs or conferences and influencing next-generation hardware and software design.

CUDA · OpenACC · OpenMP +4

• London
• £65,000 – £75,000 pa
• Senior
• Permanent

Senior AI EngineerLocation: Remote (UK) or Hybrid - London (1 days per week in the office if London-based)Salary: £65,000 - £75,000 + Excellent BenefitsJob Type: PermanentPlease note: Applicants must have the right to work in the UK. Unfortunately, visa sponsorship…

• Birmingham
• Hybrid
• £59,816 – £84,911 pa
• Lead
• Permanent

Lead the technical delivery of AI solutions across the full product lifecycle, from design and deployment to monitoring and assurance, including classical ML and agentic/LLM-based systems. Work in a government AI and data science team, writing production Python code, running CI/CD pipelines with Terraform on GCP, and building evaluation frameworks to measure model performance.

GCP · AWS · Terraform +3

• London
• Hybrid
• £75,000 – £90,000 pa
• Mid-level
• Permanent

Design and build intelligent Salesforce solutions, integrating AI capabilities such as Einstein, Prompt Builder and Agentforce into platforms and workflows. Work with business, product and engineering teams to translate complex requirements into scalable technical solutions, optimising data models, automation and integrations with enterprise systems using Apex, LWC and APIs.

Salesforce · Sales Cloud · Service Cloud +7

• London
• Hybrid · 2 days in office
• £76,800 – £115,200 pa
• Senior

Designs, builds and maintains AWS and on-prem infrastructure used by ML engineers, data scientists and product teams, with a strong focus on Kubernetes, Helm, Terraform/OpenTofu and GitOps delivery. Also handles platform service requests, incident diagnosis and reliability improvements, working across engineering teams in a surgical AI centre of excellence.

Kubernetes · Helm · AWS +4

• London
• Hybrid
• Permanent

Work at the interface between frontier generative models and pharmaceutical/biotech customers, deploying, adapting and fine-tuning models in customer environments. Build production-grade API integrations, model-serving infrastructure and ML data pipelines, while acting as technical point of contact for partners. Combines deep ML research with customer-facing delivery in an interdisciplinary team.

AlphaFold · NeurIPS · ICML +1

• London
• Mid-level

Design and lead rigorous studies on how frontier AI systems influence human decisions, including large-scale RCTs, model evaluations, red teaming and participatory methods. Work spans computational social science, AI safety and machine learning, with opportunities to publish and shape the team's research agenda alongside government and frontier lab stakeholders.

Claude Code · Codex

• London
• Hybrid
• Senior
• Permanent

Full-stack engineer owning revenue-critical products end to end, from problem discovery with research, design and product through to production. Day to day involves building UIs and data visualisations, large-scale distributed services, AWS infrastructure and observability, with heavy pair programming and AI-assisted development using tools like Claude Code.

AWS · Claude Code

• London
• Hybrid · 3 days in office
• Senior

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. They design and run experiments, analyse model performance, and advise on bringing models to production, working closely with research scientists in a cross-disciplinary team.

JAX · PyTorch · XLA +6

• London

Enterprise sales role driving adoption of Lakebase, a fully-managed serverless Postgres service for operational and AI-native applications. Partners with regional Account Executives to run multi-threaded sales cycles, orchestrate POCs for OLTP and reverse ETL workloads, and compete against legacy and cloud-native databases. Also enables the field and shapes territory plans with Product, Marketing and Partner teams.

Databricks · Lakebase · AWS +6

• Cambridge
• Senior

Design and optimise CPU compilers for NVIDIA's Grace CPUs, working on hardware-software co-design, code generation and performance analysis for AI and HPC workloads. The role involves contributing new optimisation techniques to upstream open source projects such as GCC, LLVM or MLIR, alongside a geographically distributed compiler team.

GCC · LLVM · MLIR +7

• Dublin, Ireland
• Hybrid · 2 days in office
• £388 – £474 pd
• Senior
• Contract

Hands-on engineering role owning AI/ML initiatives end-to-end, from solution design and experimentation through deployment, monitoring and optimisation. Involves building production ML and GenAI solutions including RAG architectures, working with Snowflake and cloud data platforms, and developing Python and R software with strong MLOps, CI/CD and DevSecOps practices. Collaborates with data, product and business teams to turn ambiguous problems into scalable, secure solutions.

Snowflake · AWS · Linux +2