8 of 8 Contract Predictive Analytics Jobs in the UK

OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You'll be part of a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and … immersive sports analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting … pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment in production environments Preferred: Sports data analytics, time-series forecasting, or computer vision experience Infrastructure: AWS/GCP/Azure, Docker, Kubernetes, MLflow, CI/CD pipelines Bonus: Experience with wearable/sensor data, player tracking More ❯

global Pharmaceutical organisation to recruit a Data Engineer on a contract basis - Hybrid Working - London based - Outside IR35 Deep expertise in Snowflake and DBT to join a mission-driven analytics team. This role is critical to assessing and improving an established Snowflake environment, driving cost optimisation, enhancing operational rigour, and supporting the team's move toward predictive analytics … CD pipelines to automate reliable deployment of data transformations. Provide deep insight into Snowflake infrastructure, including cost and pricing models, performance tuning, and resource governance. Support ML Ops/predictive analytics operationalisation - managing updates, performance monitoring, and change rollout rather than building models from scratch. Be a technical mentor and knowledge resource within the team - promoting best practices … skills and ability to mentor or teach other engineers. Desirable/Nice to Have Exposure to ML Ops (particularly around operationalising models). Familiarity with data science environments and predictive analytic workflows. Company Global Pharmaceuticals organisation Hybrid working - 1 day per week onsite Outside IR35 Salary & Benefits The salary range/rates of pay is dependent upon your experience More ❯

strategy and systems used to assess the creditworthiness and financial capacity of loan applicants. This role focuses on building the overall architecture for the lending process, combining data, advanced analytics, and regulatory knowledge to create automated, efficient, and compliant decision-making platforms. Responsibilities Architecting decision platforms: Design, build, and implement the technical architecture for end-to-end credit risk … a deep blend of technical, analytical, and financial knowledge. Decision engine platforms: Extensive experience with industry-standard decisioning software like FICO Blaze Advisor, Pega, or other rule-based and predictive analytics tools. Data and analytics: Expert knowledge of data analysis tools and programming languages (eg, Python, R, SAS) and proficiency in database and data warehousing technologies. System More ❯

automation roadmap aligned with long-term business goals. Identify practical, high-impact AI opportunities across manufacturing, supply chain, finance, sales, and administration. Design and implement AI solutions such as predictive maintenance, intelligent forecasting, document automation, and customer analytics. Build a library of reusable AI tools and frameworks to accelerate adoption across sites. Ensure data readiness, improving data quality and … structure to support advanced analytics and automation. Lead change management and training programmes, helping teams understand and embrace AI tools. Establish governance and ethical frameworks for responsible AI use. Track performance through defined KPIs and ROI metrics, demonstrating measurable improvements in efficiency, accuracy, and decision-making. This is a practical, hands-on role suited to someone who enjoys both … change. Essential experience includes: Proven background in AI or digital transformation within manufacturing, FMCG, or a similar operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability to translate business challenges into technical solutions. More ❯

information tools) and develop business intelligence reports that can be reused • Explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics • Lead teams summarising and presenting data and conclusions in the most appropriate format for users • Design, develop and construct data products and services, and integrate them into … systems and business processes. • Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems catalogue, monitor and identify data assets that are essential to the organisation's operations or services • Assign ownership of data, ensuring there is a clear RACI (responsible, accountable, consulted and informed) matrix in the organisation • Incorporate governance of data into More ❯

days onsite) Contract: 6 Months (extension very likely) Rate: £400-450 (IIR35) Start date: ASAP What you'll do: Build and deploy AI models (LLMs, NLP, image recognition, predictive analytics) into business workflows. Prototype privacy-first solutions using techniques such as federated learning, differential privacy, and secure multi-party computation. Implement safeguards across the ML lifecycle: data security More ❯

Lifecycle (SDLC). Reliability & Performance: Establish and manage SLIs, SLOs, and error budgets to track and improve system reliability. Support capacity and availability planning through real-time telemetry and predictive analytics. Instrumentation & Runbooks: Design and implement observability runbooks covering metrics, logs, traces, synthetics, and customer journey monitoring. Set standards for instrumentation, dashboards, alerting, and enable teams to self-serve More ❯

Lifecycle (SDLC). Reliability & Performance: Establish and manage SLIs, SLOs, and error budgets to track and improve system reliability. Support capacity and availability planning through real-time telemetry and predictive analytics. Instrumentation & Runbooks: Design and implement observability runbooks covering metrics, logs, traces, synthetics, and customer journey monitoring. Set standards for instrumentation, dashboards, alerting, and enable teams to self-serve More ❯