Machine Learning Jobs

• London
• Senior

Expert-level technical leader owning the most complex enterprise customer engagements, driving consumption strategy and executive relationships as the definitive technical authority. Leads multi-workload platform architectures, enterprise migrations, real-time systems and AI/ML at scale, while mentoring junior architects and orchestrating cross-functional teams. Requires deep Databricks platform expertise, Python/SQL coding proficiency and a declared technical specialisation.

Databricks · Snowflake · AWS +7

• London
• Senior

Owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse, driving performance innovations like Low Shuffle Merge and Deletion Vectors. Involves low-level systems debugging, performance optimisation on large production clusters, architecture design, and technical leadership including mentoring and sprint planning.

Delta Lake · Databricks · Apache Iceberg +2

• London
• Hybrid
• Lead · manages people
• Permanent

Sets technical direction for complex AI/ML projects, designing scalable production systems and shared deployment infrastructure with CI/CD pipelines. Leads multiple workstreams in high-risk national security contexts, defining testing and model versioning standards while coaching engineers and defending architectural decisions to senior stakeholders.

Kubernetes · TensorFlow · PyTorch +1

• London
• Hybrid
• Senior
• Permanent

Lead high-impact AI safety projects for national security and frontier labs, inventing novel evaluation frameworks and designing robust software architectures. Mentor technical team members, partner with commercial teams on scoping, and advance the science of AI evaluations through research and public speaking. Combines hands-on Python data science with project leadership in a high-stakes, mission-driven environment.

NumPy · Pandas · Inspect AI +1

• London
• Remote
• Senior
• Permanent

Owns key components of a large-scale web data pipeline for pre-training language models, covering extraction, parsing, deduplication and filtering of noisy internet corpora. Analyses data composition and quality across domains, languages and time periods, and studies its impact on downstream model performance alongside research and evaluation teams.

Apache Spark · Apache Beam · Pandas

• London
• Remote
• Mid-level
• Permanent

Owns the integration pipeline for an enterprise AI workspace platform, building and maintaining tools that connect external APIs and data sources to agentic systems. Writes evals and tests to catch regressions, tunes tool descriptions, and helps other engineers add integrations while raising team standards.

North

• Manchester
• Senior · manages people

Lead technical delivery of AI, machine learning and data science solutions for major financial services clients, including architecture design, production model deployment and mentoring small teams of data scientists. The client-facing role also involves senior stakeholder engagement, business development and thought leadership, using Python, SQL, Pandas, Scikit-Learn and Spark, with LLM, prompt engineering and RAG knowledge advantageous.

Pandas · Scikit-Learn · Spark

• London
• Remote
• Temporary

Four-month, full-time research fellowship in the Economics & Policy workstream, mentored by Anthropic researchers. Fellows design empirical studies on AI's economic effects, labour markets, and cyber/bio offense-defense balance, using open-source models and public APIs, with the goal of publishing a paper.

Open-Source Models · Public APIs

• London
• Hybrid · 1 day in office
• £255,000 – £325,000 pa
• Senior

Builds and operates security for large-scale AI clusters across multiple clouds and bare-metal data centers, covering IAM, network segmentation, encryption, default-deny ingress/egress and mTLS with service identity. Ships controls as secure defaults via infrastructure as code and GitOps, and designs secure CI/CD and Kubernetes workflows. Also threat models multi-cloud environments, mentors engineers and supports hiring.

Kubernetes · GitOps · VPC +4

• London
• Lead · manages people

Lead a team of data scientists while remaining hands-on, driving AI, NLP and Generative AI initiatives across a global legal services firm. You will build LLM, semantic search, RAG and deep learning solutions, plus scalable Python pipelines for structured and unstructured legal data, partnering with engineering, legal and business teams.

PyTorch · TensorFlow · SpaCy

• London
• Hybrid
• Senior
• Permanent

Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works on Kubernetes-deployed, distributed infrastructure handling hundreds of parallel pipeline steps, batch inference and evaluation workflows, closely with partner teams.

Harness · Airflow · Dagster +7

• London
• Hybrid · 2–3 days in office

Owns the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition tooling. Also operates the platform for training, evaluating and serving models, optimising GPU utilisation, scheduling and observability across distributed systems.

Docker · Kubernetes

• Cambridge
• Hybrid · 2–3 days in office

Own the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition. Operate the platform that trains, evaluates and serves models in production, optimising GPU utilisation, scheduling and observability across distributed systems.

Docker · Kubernetes

• London
• Hybrid
• Senior

Builds AI-powered planning systems for global warehouses and last-mile operations, developing machine learning models, optimisation algorithms and operational simulations. Takes high-impact models from prototype to monitored production, sets technical direction and mentors data scientists while working with engineers, product managers and retail partners.

BigQuery · OR-Tools · SimPy

• London
• Hybrid
• Senior

Builds AI-powered planning systems for global warehouses and last-mile operations, developing machine learning models, optimisation algorithms and operational simulations. Takes high-impact models from prototype to monitored production, sets technical direction and mentors data scientists while working with engineers, product managers and external retail partners.

BigQuery · OR-Tools · SimPy