Artificial Intelligence Jobs

• Singapore
• Mid-level

Customer-facing role owning the full customer journey, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate industry challenges into product opportunities, tracking engagement and measuring value. Based in Singapore, bridging advanced AI capabilities and practical engineering applications.

• New York, United States
• Hybrid · 2–3 days in office
• Senior

Builds and automates high-fidelity electromagnetic models across low- and high-frequency applications, from chip and package design to EMI/EMC, using tools like HFSS, Maxwell and CST. Works at the intersection of CAE and data science, generating simulation data to train ML surrogates, collaborating with customers and mentoring junior engineers.

Ansys HFSS · Ansys Maxwell · CST Studio Suite +7

• London
• Mid-level

Customer-facing engineering role building and productionizing data and AI solutions on the Databricks platform for emerging enterprise and digital native accounts. You own architecture and design decisions, implement end-to-end systems spanning data engineering, ML/AI and application development, and embed with client teams. Billable delivery work with roughly 20% travel.

Databricks · Apache Spark · AWS +4

• London
• Hybrid
• Senior
• Permanent

Builds data-intensive, AI-powered applications and infrastructure that help operators and investigators detect, triage and review high-severity harm, working across UIs, services and pipelines. Partners closely with Child Safety, Product Policy and Platform Integrity teams, owning systems end-to-end in an ambiguous, fast-moving environment. Involves exposure to sensitive and egregious content.

Spark · Kafka · Flink +3

• London
• Hybrid · 3 days in office
• Mid-level
• Permanent

Builds internal tools and data pipelines for lawful data access request workflows and Legal Operations, covering intake, scoping, authorized retrieval, review and audit. Involves backend services, sensitive-data handling, least-privilege access, audit trails and responsible automation, working closely with Legal, Privacy and Security stakeholders.

• London
• Hybrid
• Senior

Hybrid technical and commercial role acting as post-sale technical lead across all Databricks products for strategic accounts. You own the technical account strategy and execution plan, driving use cases from win to production, coordinating internal teams, and reporting on usage and customer health. Requires Python or Spark programming and customer-facing architecture or consulting experience.

Databricks · Lakehouse · Unity Catalog +4

• Zürich, Switzerland
• Senior

Design, develop and optimise GPU/CPU-accelerated data processing libraries such as DALI and nvImageCodec, covering numerical algorithms, performance tuning and benchmarking across architectures. Works closely with leadership and external partners on technical roadmaps, and provides technical leadership and guidance to other library engineers.

CUDA · DALI · nvImageCodec +1

• United Kingdom
• Remote
• Senior

Design, develop and optimise GPU/CPU-accelerated numerical libraries such as DALI and nvImageCodec, with heavy focus on performance tuning, benchmarking and CUDA-based parallel algorithms. The role also involves setting technical roadmaps with partners and providing technical leadership to other library engineers.

CUDA · DALI · nvImageCodec +1

• London
• Remote
• £600 – £650 pd
• Senior
• Contract

Design and implement enterprise-level data and AI architecture, developing advanced AI engineering models and agentic AI systems. Lead deep data engineering projects including distributed systems, applying systems thinking to complex problems while providing technical leadership across cross-functional teams. Largely remote with one day per week in London.

• London
• On-site
• Entry level
• Permanent

Labelling and evaluating text, speech, image and video data to improve Alexa's performance, acting as a subject matter expert for ML data workflows. The role involves quality checks, root cause analysis, and suggesting process improvements while maintaining strict confidentiality. The team works on-site Monday to Friday in eight-hour shifts.

Alexa

• London
• Hybrid
• £80,000 – £90,000 pa
• Senior
• Permanent

This role involves designing and scaling Azure Databricks-based data platforms, building robust data pipelines, and developing AI and LLM-powered capabilities. You will work closely with Product, Engineering, and Business stakeholders to deliver data products that support commercial decision-making and optimize cloud environments for performance and cost.

• Oxford
• On-site
• £40,178 – £48,700 pa
• Entry level
• Contract

Develop and validate machine-learning models on large-scale multimodal NHS clinical data, including electronic health records, genomics, imaging and digital pathology. Build reproducible pipelines within secure data environments and work with clinicians, pathologists and engineers on disease progression and treatment response prediction.

NHS Data · Electronic Health Records · Medical Imaging +3

• London
• Hybrid
• £225,000 – £255,000 pa
• Mid-level

Partner-facing role embedding with nonprofits, research institutes and academic medical centres to apply Claude to clinical development for rare and neglected diseases. You'll design and review trial protocols, build tools for drug repurposing from literature, omics and patient data, and create reusable infrastructure like MCP servers and benchmarks.

Claude · MCP

• London
• Hybrid · 3 days in office
• £100,000 – £120,000 pa
• Director · manages people

Lead the analytics, insights and AI strategy for a major insurance claims function, acting as the strategic link between business objectives and analytics delivery. Drive the shift from operational reporting to predictive and prescriptive analytics, champion data governance and responsible AI, and manage a team of analytics professionals while partnering with actuarial, reserving and finance teams.

• United Kingdom
• Remote
• Permanent

First dedicated analytics partner to Finance within a central Data team, owning revenue and ARR reconciliation, cohort and retention economics, and pricing experiments. Builds forecasting and scenario models used directly by FP&A for planning and board reporting, and partners with Analytics Engineering on the certified finance KPI layer. Requires reconciling data across Stripe, Salesforce and a dbt-modelled warehouse.

Stripe · Salesforce · dbt +1