Data Science Jobs

• New York, United States
• Hybrid
• US$135,000 – US$200,000 pa
• Mid-level
• Permanent

Builds elegant, robust APIs powered by Kubernetes controllers, bridging raw clusters and an infrastructure-agnostic runtime serving hundreds of microservices. Works with forward deployed and customer engineers on a secure, compliant PaaS for US Government customers, shaping strategy for an early-stage product.

Kubernetes · Palantir Apollo · PaaS

• Seattle, United States
• Hybrid
• US$135,000 – US$200,000 pa
• Mid-level
• Permanent

Builds robust APIs and Kubernetes controllers for Mission Manager, Palantir's PaaS that lets US Government customers run software securely in disconnected, cloud, or edge environments. Works with forward deployed engineers to close product gaps and shape a long-term infrastructure roadmap for a platform still in its earliest days.

Kubernetes · Palantir Apollo · PaaS

• Glasgow
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI and data science fundamentals, Python, machine learning, and Git/GitHub, with Microsoft AI-900 certification prep and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role with a partner employer within 20 miles of their location.

Microsoft Azure · Git · GitHub

• Norwich
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship that takes complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, plus Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role with a partner employer within 20 miles of their location.

Microsoft Azure · Git · GitHub

• 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. Client-facing role requiring strong Python, SQL, Spark and cloud experience, with LLM, prompt engineering and RAG knowledge advantageous.

Pandas · Scikit-Learn · Spark

• London
• Senior
• Contract

Builds ML and graph-based identity resolution where rule-based matching falls short, improving customer-spine architecture and reducing identity drift. Defines matching-quality metrics, supports golden-layer integration and delivers a reusable identity-resolution framework. Requires entity resolution, fuzzy matching, MLOps and feature-store experience plus Customer Master/MDM background.

• London
• Lead

Leads customer analytics across multiple markets, building CLV, RFM segmentation, incrementality measurement and value frameworks that give leadership defensible commercial insight. Partners with Finance to reconcile customer, transaction and margin data, and builds scalable pipelines in Databricks, Spark and Python with strong validation and audit practices.

Databricks · Spark · PySpark +4

• London
• Mid-level
• Permanent

Hands-on data science role focused on Amazon's Rufus conversational shopping assistant, analysing multimodal datasets and building ML models for NLP, retrieval and recommender systems. Responsibilities span A/B test design, causal inference, metric and dashboard development, and translating insights into production systems with scientists and engineers.

Large Language Models · Knowledge Graphs · ETL

• London
• Hybrid · 1 day in office
• £70,000 – £90,000 pa
• Senior
• Permanent

Owns pricing-focused data science, building predictive models of risk, customer behaviour and price sensitivity, and integrating new data sources to sharpen rates and tariffs. Uses simulation to estimate claim frequency and price responses, then translates findings into commercial recommendations for senior stakeholders. Hybrid role with at least one day a week in the London office.

• London
• Hybrid · 3 days in office
• Lead

Design and evolve a large-scale ML infrastructure platform that supports distributed training and inference workloads, working closely with research, engineering and product teams. The role also explores deploying agents to improve platform robustness and reliability, in a hybrid London setting.

Kubernetes · Google Cloud Platform · GCP

• 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. The role spans the full ML lifecycle from experimentation and benchmarking to production integration, working closely with research scientists in a cross-disciplinary drug design team.

JAX · PyTorch · XLA +6

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML and software systems for clients in life sciences and other sectors. Work spans architectural decisions, scalable cloud infrastructure, container orchestration, and acting as a trusted technical advisor to customers while mentoring junior engineers.

AWS · Azure · GCP +2

• Remote (UK)
• Remote
• Mid-level
• Permanent

Deliver bespoke, production-grade machine learning systems for defence clients, spanning the full ML lifecycle from scoping and architecture to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, acting as a technical advisor to stakeholders. Requires UK Security Clearance eligibility and 2-4 days per week on client sites.

Scikit-learn · TensorFlow · PyTorch +5

• Edinburgh
• Remote
• £30,000 – £45,000 pa
• Entry level

A self-funded training programme leading to AI engineering employment, covering AWS Cloud Practitioner certification, Python, machine learning and AI systems through online self-paced study. Includes hands-on projects, CV and interview support, and recruitment assistance until placement, with a job guarantee or course fee refund.

AWS · TensorFlow

• Slough
• Hybrid · 2–3 days in office
• £330 – £360 pd
• Junior
• Contract

Hands-on role building, validating and optimising basic models and data pipelines across the data science lifecycle, from exploratory analysis to cloud-based automation of decision-making. Work spans churn reduction, customer lifetime value, stock management and marketing effectiveness, collaborating in a data science team and with stakeholders in the telecoms sector.

scikit-learn · PySpark