a contract role with the potential to convert full time. What you'll do: Lead full-cycle recruitment for both studio hires and portfolio company talent, including executives, engineers, data scientists, and operational leaders. Develop and execute sourcing strategies to identify high-potential candidates across startup, academic, and corporate ecosystems. Build and manage a talent network, nurturing long-term … talent. Partner with founders to understand their hiring needs, define role requirements, and advise on talent strategy. Design and optimize recruiting processes for speed, quality, and candidate experience. Leverage data to track recruiting performance and inform continuous improvement. Champion our brand in the talent market through hosting events and thinking through opportunities for engagement with the community. Own the … 5+ years in recruiting/talent acquisition, with at least 2 years in startup or high-growth tech environments. Proven ability to hire technical talent (AI/ML, engineering, datascience) and senior leadership. Experience building recruiting processes from scratch in lean environments. Strong sourcing skills and experience keeping a talent pipeline engaged. Experience evaluating and building up More ❯
Duration: 30/06/2026 Pay Rate:£450 MUST BE PAYE THROUGH UMBRELLA Role Description: Lead the design and delivery of intuitive, intelligent, and scalable user experiences for data products powered by GenAI, with a strong emphasis on natural language search and data discoverability. You will shape the UX/UI strategy for enterprise-grade tools that … enable users to interact with complex data assets through conversational and visual interfaces. The role also demands hands-on development expertise in modern Front End frameworks and API integration to ensure seamless and performant user experiences. Key Responsibilities UX/UI Strategy & Leadership * Define and drive the UX/UI vision for GenAI-enabled data products. * Lead design … efforts across multiple product streams, ensuring consistency and usability. * Collaborate with product managers, engineers, and data scientists to align design with business and technical goals. Design & Development Execution * Create wireframes, prototypes, and high-fidelity designs for NLP search interfaces and GenAI-powered workflows. * Develop and implement responsive, accessible, and performant Front End components using React and/or Angular. More ❯
and real-time inference Observability: monitoring, drift detection, hallucination, SLOs, and alerting for model and service health Serving at scale: containerised, auto-scaling (e.g., Kubernetes) with low-latency inference Data & model versioning; maintain a central model registry with lineage and rollback Workflow automation across the ML lifecycle (data ingestion → retraining → deployment) Deliver a live performance dashboard (intent accuracy … Proven expertise in mathematics and classical ML algorithms, plus deep knowledge of LLMs (prompting, fine-tuning, RAG/tool use, evaluation) Hands-on with AWS and Azure services for data/ML (e.g., Bedrock/SageMaker, Azure OpenAI/Azure ML) Strong engineering: Python, APIs, containers, Git; CI/CD (GitHub Actions/Azure DevOps), IaC (Terraform/CloudFormation … Serving Infrastructure: A containerized, auto-scaling environment (e.g., using Kubernetes) to serve the chatbot model with low latency Workflow Automation: Automate the end-to-end machine learning lifecycle, from data ingestion and preprocessing to model retraining and deployment Live Performance Dashboard: A real-time dashboard displaying key model metrics such as intent accuracy, response latency, and error rates Centralized More ❯
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms … Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms … Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms … Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms … Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯
london (city of london), south east england, united kingdom
BettingJobs
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms … Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯
Senior Data Scientist - Credit Risk London – Hybrid Up to £80,000 + Benefits Our client is a high-growth fintech revolutionising consumer finance through cutting-edge technology and data science. Backed by top investors and consistently rated as a market leader, they are transforming the way loans, credit cards, and financial products are delivered - offering customers faster, more … transparent, and seamless experiences. As a Senior Data Scientist, you’ll play a pivotal role in developing proprietary risk models that drive strategic decision-making and product innovation. Working within a multidisciplinary team, you’ll apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings. Key Responsibilities Build and refine credit risk models using state … of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What We’re Looking For Strong Python experience, with knowledge of ML techniques. Familiarity with the credit industry, financial products, and data-driven risk modelling. Experience More ❯
Senior Data Scientist - Credit Risk London – Hybrid Up to £80,000 + Benefits Our client is a high-growth fintech revolutionising consumer finance through cutting-edge technology and data science. Backed by top investors and consistently rated as a market leader, they are transforming the way loans, credit cards, and financial products are delivered - offering customers faster, more … transparent, and seamless experiences. As a Senior Data Scientist, you’ll play a pivotal role in developing proprietary risk models that drive strategic decision-making and product innovation. Working within a multidisciplinary team, you’ll apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings. Key Responsibilities Build and refine credit risk models using state … of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What We’re Looking For Strong Python experience, with knowledge of ML techniques. Familiarity with the credit industry, financial products, and data-driven risk modelling. Experience More ❯
COMPANY A high-growth consultancy is seeking an Analytics Consultant to join their team! THE ROLE As the Analytics Consultant, you will consultant with clients and customers across the Data & Analytics space; you will be comfortable consulting across the customer & marketing analytics space as well as the DataScience & Engineering space YOUR SKILLS AND EXPERIENCE Analytics Consulting More ❯
COMPANY A high-growth consultancy is seeking an Analytics Consultant to join their team! THE ROLE As the Analytics Consultant, you will consultant with clients and customers across the Data & Analytics space; you will be comfortable consulting across the customer & marketing analytics space as well as the DataScience & Engineering space YOUR SKILLS AND EXPERIENCE Analytics Consulting More ❯
able to work on projects across segmentation, regression, loyalty and predictive analytics. You will get the chance to work on a new customer reward app, and work closely with datascience teams and on projects in the space YOUR SKILLS AND EXPERIENCE SQL/bigQuery experience THE BENEFITS £35,000-£40,000 (dependent on experience) HOW TO APPLY More ❯
design of intelligent, AI-powered workflows that blend human decision-making with machine support. You’ll work on real features that ship to customers, collaborating closely with engineering and datascience to make AI usable, useful, and trusted. What you'll do: Design intuitive interactions with LLM-based features (inputs, feedback, explainability). Own design across the lifecycle More ❯
design of intelligent, AI-powered workflows that blend human decision-making with machine support. You’ll work on real features that ship to customers, collaborating closely with engineering and datascience to make AI usable, useful, and trusted. What you'll do: Design intuitive interactions with LLM-based features (inputs, feedback, explainability). Own design across the lifecycle More ❯
design of intelligent, AI-powered workflows that blend human decision-making with machine support. You’ll work on real features that ship to customers, collaborating closely with engineering and datascience to make AI usable, useful, and trusted. What you'll do: Design intuitive interactions with LLM-based features (inputs, feedback, explainability). Own design across the lifecycle More ❯
london (city of london), south east england, united kingdom
Harvey Nash
design of intelligent, AI-powered workflows that blend human decision-making with machine support. You’ll work on real features that ship to customers, collaborating closely with engineering and datascience to make AI usable, useful, and trusted. What you'll do: Design intuitive interactions with LLM-based features (inputs, feedback, explainability). Own design across the lifecycle More ❯
design of intelligent, AI-powered workflows that blend human decision-making with machine support. You’ll work on real features that ship to customers, collaborating closely with engineering and datascience to make AI usable, useful, and trusted. What you'll do: Design intuitive interactions with LLM-based features (inputs, feedback, explainability). Own design across the lifecycle More ❯
Cambridgeshire, East Anglia, United Kingdom Hybrid / WFH Options
Redline Group Ltd
Customer Experience Manager - 12 Month FTC will have skills/experience: Experience in managing software related deployment projects and/or Software development. Ability to collaborate with engineering and datascience teams, resolving Customer issues and experience of using JIRA, Confluence and Zendesk (or Similar customer support software) Significant experience in a customer facing project management/delivery More ❯
interested in this Project Manager in Luton , please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, DataScience or Simulation contact us today. More ❯
Employment Type: Permanent
Salary: £50000 - £60000/annum Pension, Holidays and more
interested in this Project Manager in Epsom , please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, DataScience or Simulation contact us today. More ❯
company at the forefront of engineering excellence, known for tackling complex challenges and integrating diverse technologies. The products/systems encompass control systems, dynamics, hydraulics, motors, generators, sensors, electronics, datascience, signal processing, microcontrollers, and software. Within the team you'll be tasked with the design and development high-performance embedded software and firmware for next generation products More ❯
Bristol, BS37 5JF, Westbury on Trym, United Kingdom
Zenovo
company at the forefront of engineering excellence, known for tackling complex challenges and integrating diverse technologies. The products/systems encompass control systems, dynamics, hydraulics, motors, generators, sensors, electronics, datascience, signal processing, microcontrollers, and software. Within the team you’ll be tasked with the design and development high-performance embedded software and firmware for next generation products More ❯
trends and issues Experience of WTW’s Radar software or Earnix software Strong commercial acumen Experience of retail pricing optimisation Experience with predictive modelling techniques Experience in statistical and datascience programming languages A quantitative degree What we offer in return? A collaborative and fast paced work environment Private medical health care plan Yearly bonus scheme 28 days More ❯