Machine Learning Engineer Up to 85k Xcede has just started working with one of the leading applied AI companies in the UK. If you want to have a real impact, this is the role for you! Build and deploy real-world AI systems that power critical decisions across major financial and professional services organisations. You will create and deliver tailored AI solutions for clients, shape resilient and extensible system architectures, partner with commercial stakeholders to define technically sound and commercially viable project strategies, and bring advanced machine learning capabilities into real-world production environments while setting high standards for the responsible design, deployment, and operation of AI systems at scale. Requirements: <ul><li>Proven ability to design, develop, deploy, and maintain machine learning systems throughout their entire operational lifecycle</li><li>Collaborating closely with data science teams to integrate and productionise trained ML models within live systems</li><li>Hands-on experience implementing and supporting models built with widely used machine learning libraries</li><li>Proficiency in python</li><li>Hands-on expertise designing and operating cloud-native systems, including secure infrastructure, deployment pipelines, and open-source technologies, with experience on at least one major platform e.g. AWS</li><li>Proven capability building and running containerised systems using Docker and Kubernetes in production environments.</li><li>Strong grasp of fundamental probability and statistical principles,</li><li>Proven track record of guiding, supporting, and developing junior team members through hands-on mentorship and technical leadership.</li></ul> If you are interested in this or other Ml Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com | 02074226861

Machine Learning Engineer (I & II) - CAS / PFS / GPS

Lead ML Engineer: Up to 145k Xcede has just started working with one of the leading applied AI companies in the UK. If you want to make a real meaningful impact on the environment this is the job for you! This senior technical leadership role is focused on building and deploying production-grade AI systems for large-scale infrastructure, sustainability, and energy transition programmes. You will define engineering strategy for large-scale machine learning initiatives, architect and deliver resilient AI platforms, lead multi-stream programmes in ambiguous environments, build shared internal tooling, hire and mentor senior engineers, introduce new technologies and ways of working, and act as a trusted technical authority for senior stakeholders. Requirements: <ul><li>You are recognised as a senior technical authority, able to dive deep into complex problems while maintaining a broad perspective across modern engineering and machine learning systems.</li><li>Proficiency with Python</li><li>Proficiency with leading public cloud platforms e.g Azure</li><li>You have practical experience packaging and deploying applications using modern container platforms and managing them at scale with cluster orchestration systems.</li><li>You have a proven ability to lead and develop engineering teams, setting clear technical objectives that raise delivery quality and performance.</li><li>You consistently design innovative approaches to complex delivery challenges and take full responsibility for seeing projects through to success.</li><li>You communicate with clarity and confidence, enabling customers to reach their objectives while aligning both engineering teams and business leaders.</li></ul>If you are interested in this or other Lead Ml Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com | 02074226861

Lead Machine Learning Engineer - Energy Transition & Environment

Applied AI Engineer: Up to 200k Xcede has just started working with one of the fastest growing Large-scale B2B Automation & Intelligence Company. Wanting to modernise how large organisations create, verify, and deliver high-stakes professional output, you will take ownership of core AI agent systems, building and scaling multi-agent services, implementing RAG pipelines, and developing robust model evaluation tooling.   What you will be doing: Design, implement, and operate resilient backend platforms and APIs (ideally using Python with Django or FastAPI), working in close partnership with founders, product, growth, design, and engineering teams to ship impactful functionality, deliver production-grade AI capabilities such as RAG pipelines, multi-agent architectures, and evaluation systems, build end-to-end data workflows for model development and optimisation, and guide junior engineers while championing high technical standards.   Requirements: <ul><li>Over five years of hands-on experience working as a professional software developer</li><li>Practical experience designing, delivering, and operating AI-powered applications in live production systems.</li><li>Proficiency with Python</li><li>Good grasp on SQL databases</li><li>Proficiency with Git</li><li>Experience with cloud platforms, container-based deployment, and automated build and delivery pipelines.</li><li>Hands-on experience building asynchronous processing systems using background workers and task queue frameworks such as Celery</li><li>Experience using Redis</li><li>Practical experience developing, launching, and maintaining AI-driven systems in live production settings.</li><li>Demonstrated expertise in building retrieval-augmented architectures, managing agent-based AI frameworks, and continuously measuring and optimising system effectiveness.</li><li>Working knowledge of large language model assessment methods and tooling used to benchmark accuracy, robustness, and responsible behaviour.</li></ul>  If you are interested in this or other Data Scientist positions, please contact Gilad Sabari @ gilad.sabari@xcede.com | 02074226861

Applied AI Engineer

SC Cleared Deployment Engineer – Contract (Inside IR35) We are currently seeking an SC Cleared Deployment Engineer to support a high-profile programme for a leading UK IT services provider, working with a globally recognised engineering and manufacturing organisation at one of their secure sites. This is an initial 3-month contract with a strong likelihood of extension for the right candidate. Key Details<ul><li>Location: Fully on-site, Midlands</li><li>Contract Length: Initial 3 months</li><li>Rate: £275 per day</li><li>Status: Inside IR35</li><li>Clearance: Active SC Clearance required (must be in place and transferable)</li></ul>Role Overview You will be responsible for hands-on deployment and support activities within a secure, enterprise environment. The role is delivery-focused and requires strong technical capability, attention to detail, and the ability to work effectively as part of a wider project team. Responsibilities<ul><li>Laptop and desktop builds, deployments, and refreshes</li><li>Hardware break/fix and asset management</li><li>User onboarding, migrations, and floor-walking support</li><li>Working to defined deployment processes and security standards</li><li>Liaising with technical teams and on-site stakeholders</li><li>Accurate documentation and ticket updates</li></ul>Required Skills & Experience<ul><li>Proven experience in a Deployment Engineer / EUC / Deskside role</li><li>Strong knowledge of Windows 10/11, Microsoft Office, and enterprise tooling</li><li>Experience with imaging, SCCM, and device provisioning</li><li>Comfortable working in secure, on-site environments</li><li>Excellent communication and customer-facing skills</li><li>Active SC Clearance (mandatory)</li></ul>If you hold active SC clearance and are available for an on-site contract in the Midlands, we’d like to hear from you.

SC Cleared Deployment Engineer

​With over 15 years of experience working for Xcede, Paul is currently our Senior Principal Consultant in Analytics across the UK and Europe. Leveraging his diverse range of talent acquisition experience, Paul has helped a range of organisations to expand their technology teams. Paul consults on a wide range of analytics-focused roles across all levels, from Customer Insights, Marketing Analysis, Database Marketing and Campaign Management, to Direct Marketing, Email Marketing, Forecasting and beyond. Specialists with proven experience in SQL, Python, and R can contact Paul to discuss the latest Analytics roles. 

Paul Culmer

Lead Consultant

Data Scientist – Cricket Analytics London | £65k–£85k Bonus Benefits | No sponsorship We are a growing sports data consultancy building out our data science function, and we’re looking for a passionate data scientist to join our cricket team. We turn complex sporting data into clear, actionable insights that help clients make smarter, evidence-based decisions. In this role, you’ll work closely with cricket analysts to transform raw data into meaningful models, metrics, and insights that directly influence performance and strategy. What you’ll do: <ul><li>Analyse ball-by-ball, match, and player-performance datasets to uncover insights.</li><li>Support the development of predictive models and player/team profiling frameworks.</li><li>Help create cricket-specific performance metrics such as expected wickets, pressure indicators, matchup profiles, and more.</li><li>Build clear visualisations and reports to communicate findings to analysts and cricket-facing staff.</li><li>Contribute to internal R&D exploring new metrics, methods, and analytics approaches.</li></ul>What we’re looking for: <ul><li>Strong Python skills, with experience in pandas or polars.</li><li>Good understanding of statistical/ML concepts and how to apply them to real sporting problems.</li><li>Some hands-on experience with cricket data (ball-by-ball, player stats, competition data).</li><li>Curiosity about cricket analytics — modelling intent, evaluating match situations, analysing shot/bowling patterns, etc.</li><li>Clear communicator who can explain technical ideas simply.</li><li>Genuine passion for cricket and a desire to keep learning.</li></ul>If you're excited by the chance to push the boundaries of cricket analytics and work with one of the sport’s most data-forward teams, we’d love to hear from you.

Data Scientist - Cricket

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Paul Culmer

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