859 jobs found

Zenith Training is the fast-growing learning and development division of Zenith People. We work across various sectors, integrating strategic thinking with innovative training to help businesses deliver their strategy and future growth across the North East. As an Ofsted Rated Good provider and ISO 9001:2015 certified organisation, we re committed to maintaining the highest standards of quality and continuous improvement in everything we do. We re a growing business, and we re always looking to bring like-minded, talented individuals on board to support the achievement of our business objectives. So if you feel that we sound like the type of business you can see yourself working in and think that you have something to bring to our table, please get in touch we d love to hear from you! Zenith People are looking to recruit an experienced AI Trainer. This role is responsible for developing and delivering innovative AI training programmes, with a focus on embedding AI technologies like Microsoft 365 Copilot into organisational processes through structured skills bootcamp and apprenticeship delivery models. The Trainer will support digital transformation by upskilling individuals to become in-house digital enablers, combining technical expertise with change management, risk mitigation, ethical AI use, and prompt engineering skills. The role includes delivering a blend of face-to-face workshops and ongoing consultancy-style support aligned to apprenticeship standards. Role responsibilities and requirements: Design and deliver comprehensive AI training programmes, including high-level Microsoft 365 Copilot leadership workshops and wider AI integration pathways. Create and maintain high-quality training materials such as presentations, user guides, integration roadmaps, and case study-based labs. Lead interactive workshops and training sessions to educate learners on AI concepts, tools, and best practices. Support learners across an extended transformation journey, guiding them through real-world activities such as Copilot deployment, semantic indexing, data governance, and AI workflow automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning delivery with organisational needs, helping teams to build AI adoption roadmaps, configure Microsoft 365 Copilot, and extend functionality using Power Platform and Azure AI. Monitor learner progress to ensure learning continues and learners achieve in a timely manner. Ensure systems and processes are followed and are in line with contractual deadlines. Deliver outcomes in line with current KPI s and business performance targets. Administrating and completing paperwork associated with programme delivery within required timescales. Promote and monitor equality and diversity in all aspects of the role and record issues that may arise. Hold a Level 3 teaching qualification or above or work towards achieving a L3 Teaching qualification. Have practical experience in AI, machine learning, or data science, including hands-on experience with AI tools, frameworks, and technologies. Be proficient in Microsoft Offices packages, including Word, Excel, and PowerPoint. Have strong organisation and administrative skills. Have excellent written and verbal communication skills. Experience of unsupervised working and using own initiative. Be able to show an understanding of different learning styles and how to differentiate through various teaching methods. Able to motivate self and learners. Able to plan and deliver imaginative and motivational sessions with a clear focus on the needs of the individual learner. A willingness to work flexible hours and locations as required. To consistently demonstrate desired the company behaviours and standards. Be flexible, committed & enthusiastic. Keeping workplace safe and tidy. Full, clean driving licence and use of a vehicle must be flexible with travel. (Business insurance is compulsory) To believe in and demonstrate the company values and team charter behaviours. Benefits of working with Zenith Enhanced Holiday Package Enjoy more time off to recharge. Great Working Environment Supportive, collaborative, and positive culture. Free Parking Convenient and cost-saving for all staff. Pension Salary Sacrifice Tax-efficient way to boost your retirement savings. Cycle to Work Scheme Promote health and sustainability. Extra Pension Contributions Additional employer contributions after probation. Hybrid Working 1 day per week working from home (after probation). Social Gatherings 4 events per year to connect and celebrate. Death in Service (DIS) 4x salary for peace of mind. Training & Development Continuous learning and career growth opportunities. Employee Assistance Program (EAP) Includes a wellbeing app for mental health support. Birthday Off Celebrate your special day with an extra day off

Support & Automation Technician Permanent Maidstone, Kent £33,000 Overview :We are looking for an IT & Automation Technician to join a fast-growing e-commerce business at their brand-new office in Maidstone, Kent. This is a unique role combining hands-on IT support with automation maintenance across a state-of-the-art fulfilment centre. You will play a pivotal role in keeping systems, machinery and technology running smoothly, helping the business scale efficiently.This is a permanent, full-time position (40 hours per week, flexible hours) with a competitive salary dependent on experience. Start date is ASAP. Role & Responsibilities: Maintain, troubleshoot and repair advanced automation equipment, including conveyors, SLAM machines, pick-to-light systems and right-size packaging machines Perform proactive maintenance to maximise uptime and prevent breakdowns Carry out reactive repairs to get production lines back up and running quickly Provide first-line IT support to 200+ users, troubleshooting hardware, software, mobile devices and printers Assist the IT Manager with infrastructure projects, upgrades and improvements Skills & Experience: Mechanical or technical background, ideally with experience in a fulfilment centre or similar environment Hands-on tinkerer mindset, comfortable with tools, problem-solving and learning how things work Strong interest in technology, IT systems and automation processes Experience with MS365 and Ubiquiti environments is a plus Highly IT literate, proactive and able to get things done independently Obsessed with improving systems and processes to maximise efficiency Package: £33,000 Base Salary On Site (Maidstone) Great Benefits Package Career Progression Opportunities Support & Automation Technician Permanent Maidstone, Kent £33,000

AI Technical Consultant Contract Rate: £700 per day Contract Length: 3 6 months Location: Flexible / Hybrid (depending on candidate) An exciting AI startup is looking for an experienced AI Technical Consultant to join them on a critical project phase. This is a hands-on contract role suited to someone who can operate at both a technical and advisory level, helping shape, deliver, and optimise AI-driven solutions. You ll work closely with founders, engineers, and stakeholders to translate business requirements into scalable AI solutions, provide technical guidance, and support delivery across the project lifecycle. Key Responsibilities: Act as a technical advisor on AI architecture, model selection, and implementation Work closely with engineering and product teams to deliver AI solutions end-to-end Provide hands-on input across model development, deployment, and optimisation Support stakeholders with technical decision-making and best practice Ensure solutions are scalable, ethical, and aligned with business objectives Required Experience: Proven experience as an AI Consultant, AI Engineer, or similar technical role Strong understanding of machine learning, AI frameworks, and deployment practices Experience working with startups or fast-paced environments Ability to communicate complex technical concepts to non-technical stakeholders Prior contract experience is highly desirable This is a fantastic opportunity to work with a high-growth AI startup, influence key technical decisions, and deliver real impact in a short timeframe. If you re interested email me at (url removed)

Machine Learning Researcher Location: Cambridge, UK (Hybrid) Salary: Up to 85k DOE We're recruiting on behalf of a Cambridge-based AI research company developing data-efficient machine learning solutions for complex engineering and optimisation problems. This is an opportunity to join a highly research-driven ML lab, working on probabilistic modelling, Bayesian optimisation and decision-making methods, with a strong emphasis on theoretical rigour and real-world impact. The team regularly publishes at top-tier machine learning conferences and contributes to open-source ML libraries. The Role You'll conduct original research in areas such as probabilistic models, active learning and Bayesian optimisation, while collaborating closely with other researchers and applied teams. The role blends academic-quality research with practical application, including contributions to product development and customer-facing research projects. About You PhD in Machine Learning, Statistics, Optimisation or a related field (or equivalent research experience) Track record of publications in ML, statistics or optimisation venues Experience or strong interest in: Probabilistic modelling (e.g. Gaussian Processes, Bayesian methods) Decision-making methods (Bayesian optimisation, bandits, RL, active learning) Strong numerical programming skills (Python; NumPy; TensorFlow and/or PyTorch) Collaborative mindset and enthusiasm for research excellence and continuous learning If you or anyone you know could be interested, please reach out to Fintan at TEC Partners for all of the details.

Site Automation Engineer Warrington Circa £59,000 + Bonus Rotating Shift (3 Week Pattern followed by 7 off) Due to significant investment and automation activities on a large world class manufacturing site, we have a recruitment drive for PLC biased Electrical Controls Engineers. Newly created roles! Reporting to the Site Controls & Automation Manager, you will be responsible for automation, controls and electrical systems of the production plant. Key Responsibilities Site Automation Engineer Responsible for the development, implementation, documentation, test and maintenance of software, for: Inverter drives Programmable safety systems PLCs Servo drives SCADA system Operator interface (HMI) screens Train and provide advice to Engineers and Operators as required PLC alterations & improvements New installations, including programming of software Ensuring machines and equipment are safe, working efficiently and fit for purpose You ll collaborate across teams and contribute to key improvement projects, while gaining experience with a variety of control systems Diagnose and troubleshoot complex machine faults to reduce downtime Develop automation skills and techniques through OEM training Coach and mentor Maintenance Engineers on control systems Proactive in detecting, reporting, diagnosing and predicting potential or existing software and electronic issues on all equipment You ll be involved in fault-finding, diagnostics, and implementing permanent solutions to ensure safety, quality, and efficiency Requirements & Qualifications Site Automation Engineer Must possess an electrical engineering qualification (HNC/HND Level) A working knowledge of PLC systems and HMI software Experience maintaining electrical/control systems on complex process and/or high-speed production equipment Experience troubleshooting, testing, and repairing instrumentation devices Experience in PLC touch screen controls and electrical maintenance Problem solving and root cause analysis experience PLC programming skills Time served Electrical Engineer Automation / Controls apprentice with several years post qualification work experience within a manufacturing environment HNC in Electrical Engineering or equivalent Ability to fault find and implement program modifications on a range of PLCs & SCADA Knowledge of servo drives and inverters Experience of fault-finding on industrial communication networks Experience of designing & modifying control circuits and program logic What we can offer Site Automation Engineer Best-in-class learning and development support from day one Yearly Bonus Matched Pension up to 12% An industry competitive salary and benefits package, including company bonus. 25 days holiday + bank holidays with the option to buy additional plus 7 days off every 4 weeks on working pattern Share save scheme and exceptional reward events For more information on this role, please contact Andrew Haddon on (phone number removed) or send a copy of your CV to (url removed) For details of other opportunities available within your chosen field please visit our website (url removed) Role would suit someone with a background as: an electrical maintenance engineer, PLC engineer, Automation Engineer or Electrical Engineer in a manufacturing environment Omega is an employment agency specialising in opportunities at all levels within the Engineering, Manufacturing, Aerospace, Automotive, Electronics, Defence, Scientific, Energy & Renewables and Tech sectors.

Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. We Get You Hired Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. We Get You Hired Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. We Get You Hired Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. We Get You Hired Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

IT Service Delivery Manager Position: Senior Service Manager (Internal Name) Location: Ringwood, Hampshire + Hybrid home working Salary: £40k DOE + Benefits + Company Profit Share Hours: 37.5 hours per week The Role Working alongside two fellow Senior Service Managers, you will form part of a well-established service management team helping to lead the delivery of high-quality IT support services and drive continuous improvement across our client's operational environment. You will be responsible for the day to day operation of their business as usual support services, including allocating tasks, monitoring and maintaining contractual KPI commitments, producing customer reports, and serving as an escalation point for both internal and external stakeholders. You will take ownership of the end-to-end customer experience, understanding people, processes and technology to maximise service quality and ensure operational excellence. You will also hold line-management responsibilities. Duties Include: Provide strategic oversight of all service operations, including the full lifecycle of incidents, service requests, problems, and major incidents, ensuring SLAs are met and ITIL processes (Major Incident, Change, Problem) are consistently applied. Drive proactive and preventive service delivery by identifying recurring issues, analysing operational data and trends, and implementing improvements that reduce disruption and enhance service stability. Lead customer experience and service governance, including Service Reviews, satisfaction measurement, feedback loops, and actionable service reporting that informs continuous improvement. Build strong relationships with customers, internal teams, and technical stakeholders, acting as a senior escalation point and ensuring collaborative, positive service outcomes. Champion continuous improvement and professional development, driving service quality initiatives, enhancing operational efficiency, and maintaining awareness of evolving technologies and best practice. Skills and Experience: Experience in Service Delivery or IT Service Management (three years preferred), with proven leadership experience, a strong track record managing incidents, problems, and major incidents, and consistently meeting SLAs/KPIs. Solid technical understanding of IT support environments, ideally with previous hands on troubleshooting or IT operations experience. Experience and knowledge of using ITIL v3/v4 best practice. Excellent communication and stakeholder management skills, able to influence senior stakeholders, manage escalations professionally, and present confidently. Strong analytical and reporting ability, using data and service metrics to identify trends, reduce recurring issues, and drive measurable improvements. Ability to learn new technologies quickly. Highly organised and adaptable, capable of managing multiple priorities and performing effectively under pressure. Proactive and improvement focused, committed to continuous learning, professional development, and raising service standards. The role is subject to a standard clear DBS being received. Some travel to customer sites may be involved, so you must have a Full UK Driving license. The Package: Company Profit Share (first £3,600 is tax free) 22 days annual leave plus bank holidays, increasing with length of service Birthday as additional paid leave Additional paid leave (dependent on company performance) Company sick pay policy Pension Scheme Private Medical Insurance including dental Free Parking Hybrid Working Progression opportunities Fresh fruit, the occasional pizza and a posh coffee machine! Our Client Our client has been a specialist IT Infrastructure and Support Services provider for over 25 years. They are an Employee Ownership Trust - a growing company. They are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Their core services include support desk, on-site engineering, project management and delivery, storage and logistics, and technical consultancy. They encourage progression for their colleagues, offering opportunities in other teams and departments. Join their friendly company, where a great team and a positive culture await you.

Engineering Manager Location: Remote (UK-based) Employment Type: Permanent, Full-Time Salary: £90,000 - £100,000 + great benefits About the Role We're looking for an experienced Engineering Manager to lead our engineering team and drive successful delivery of cutting-edge Machine Learning and AI-powered products. This role is ideal for someone who combines strong technical credibility in ML/AI environments with proven leadership and people management skills. You'll oversee delivery pipelines, mentor engineers, and ensure AI-driven products are delivered to the highest standard - on time and aligned to business impact. Key Responsibilities Lead, mentor, and develop a team of engineers working across software and AI/ML initiatives Drive delivery across multiple concurrent projects, ensuring alignment with business and product goals Oversee technical direction, architecture, and best practices across Machine Learning and AI-powered systems Collaborate with stakeholders to prioritise work, manage timelines, and balance innovation with operational reliability Promote a culture of continuous improvement, quality, and accountability Ensure scalable, secure, and production-ready AI solutions Skills & Experience Required: Proven experience as an Engineering Manager leading technical teams Strong background delivering Machine Learning and AI-powered products Experience leading and developing high-performing engineering teams Track record of delivering complex technical projects on time and to a high standard Excellent communication, organisational, and stakeholder management skills Desirable: Experience with CI/CD pipelines and modern DevOps practices Background in hands-on software engineering or technical architecture Knowledge of cloud-based AI/ML applications and scalable infrastructure Experience working in fast-paced or high-growth environments Why Join Us? Fully remote role with flexibility and autonomy Competitive salary and comprehensive benefits package Opportunities for leadership growth and career development Collaborative, supportive culture with an emphasis on innovation and delivery excellence Ready to make an impact? We are an equal opportunities employer and welcome applications from all suitably qualified candidates, regardless of race, sex, disability, religion/belief, sexual orientation, or age.

Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements: Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

Android Engineer Remote Up to 90,000 SaaS We are partnering with an innovative technology company building intelligent mobility platforms used by major public transport operators across the world. Their technology powers mobile experiences that combine location intelligence, behavioural insights and rewards systems to help millions of people move through cities more efficiently while increasing public transport adoption. They are now looking for an Android Engineer to help evolve the mobile SDK that sits at the core of this platform. This is a role for engineers who enjoy working close to the platform layer and solving complex mobile engineering problems at scale. The opportunity You will work on a mobile SDK integrated into partner applications used by large transport operators and mobility providers. The work involves challenges such as location tracking, background processing, sensor data, reliability across many Android devices and building robust APIs that other developers depend on. You will collaborate closely with backend engineers and product teams while also working directly with partners to design solutions that integrate seamlessly into real world transport systems. What you will be doing Design and build advanced Android SDK features using Kotlin and Java Solve complex problems around location, background services and mobile performance Build reliable APIs and tools that other mobile teams integrate into their applications Collaborate with engineers across mobile, backend and infrastructure teams Improve architecture, testing practices and developer experience Support partners integrating the SDK into large scale consumer applications Continuously improve performance, security and reliability across the platform What we are looking for Strong experience building Android applications in Kotlin or Java Experience working on complex mobile systems such as SDKs, frameworks or large scale applications Experience with reactive programming such as RxJava Deep understanding of asynchronous programming and multithreading Strong knowledge of Android architecture and platform capabilities Experience working with APIs and network based mobile services Comfortable working in collaborative agile teams Strong communication skills and fluent English Nice to have Experience working with location services sensors or Bluetooth technologies Experience working with cross platform mobile environments Exposure to cloud services or backend development Interest in on device intelligence or machine learning Salary and Benefits Salary up to 90,000 Remote working Flexible working hours

Machine Learning Engineer (MLOps) Location: Oxfordshire, UK Permanent HYBRID 3 days per week onsite ARCA Resourcing is partnering with an innovative, established but scaling technology company in Oxfordshire to recruit a Machine Learning Engineer (MLOps). This role offers the opportunity to work at the forefront of advanced computing and emerging technologies, applying modern machine learning techniques to complex scientific and engineering challenges. As a Machine Learning Engineer, you will develop advanced ML-driven applications that enhance the performance, stability, and sensitivity of next-generation technologies. Working closely with experimental scientists and hardware engineers, you will translate complex physical system data into actionable improvements through intelligent data modelling and automation. Key Responsibilities Develop and implement custom machine learning models for signal processing, sensor fusion, and system optimisation Design models for applications such as noise suppression, drift compensation, anomaly detection, and adaptive calibration Build and maintain robust data pipelines to process high-dimensional experimental and time-series datasets Train, validate, and optimise machine learning models using modern Python-based frameworks Integrate ML inference into real-time or near-real-time control environments Stay up to date with the latest developments in machine learning and sensor fusion techniques Interpret and communicate cutting-edge research in both theory and experiment with internal teams Contribute to the wider scientific community through publications, conferences, or technical collaboration Support and mentor colleagues, contributing to a collaborative research and engineering environment Essential Skills & Experience BSc or MSc in Computer Science, Mathematics, Statistics, Physics, Quantum, or a closely related discipline 2+ years of industry experience developing and deploying machine learning models Strong programming skills in Python for machine learning and scientific computing Experience developing, training, and optimising machine learning models Familiarity with common ML tools and frameworks such as PyTorch, pandas, and scikit-learn Experience working with large datasets and high-performance computing (HPC) environments Strong analytical and problem-solving skills in complex technical environments Ability to communicate effectively with both technical and non-technical stakeholders Comfortable working in collaborative, cross-functional teams within a fast-paced R&D environment Ability to learn complex topics quickly and translate research into practical solutions Desirable Skills & Experience PhD in Computer Science, Mathematics, Statistics, Physics, or a related field Experience deploying machine learning models to edge or embedded compute hardware Experience with MLOps workflows, including continuous training, testing, and deployment pipelines Experience with real-time systems, sensor data processing, or advanced signal processing Exposure to quantum technologies, quantum information science, or quantum machine learning This is a unique opportunity to apply cutting-edge machine learning techniques within a highly technical environment, working alongside experts developing breakthrough technologies. ARCA Resourcing welcomes applications from engineers passionate about using machine learning to solve complex scientific and engineering problems. Please apply via the link for immediate consideration!

Full-Stack Engineer (FX Trading Applications) Location: London (onsite 3 days per week) Day Rate: £700 (via Umbrella Company) Contract: Fixed Term Contract until 31 December 2026 About the Role Are you ready to dive into the dynamic world of FX Trading technology? Our client is seeking a talented Full-Stack Engineer with strong Java expertise and a passion for solving complex technical challenges. You'll play a key role in building mission-critical components that power high-performance trading systems-working closely with cross-functional teams in a fast-paced, agile environment. Key Responsibilities Engineering & Development Design and develop backend and frontend features for FX Trading applications. Write well-designed, testable, and efficient code across the full stack. Build automated test suites (unit, integration, contract, UI/API, performance). Define metrics and implement automated evaluation and drift detection for AI-related components. Reduce technical debt while improving modularity, observability, reliability, and performance. Architecture & Integration Integrate software components into cohesive, production-ready systems. Design clear, maintainable API contracts and ensure backward-compatible changes. Optimise low-latency, high-throughput services. Operational Excellence Troubleshoot, debug, and enhance existing systems. Instrument services with metrics, logs, and traces for faster incident resolution. Participate in deployments in line with strict change-control processes. Champion production-ready development through CI/CD gates, feature flags, and safe rollout/rollback strategies. Collaboration & Continuous Improvement Partner with Product, Sales, Trading, Operations, and Data Science teams to deliver business-aligned features. Participate in peer reviews while promoting secure coding and performance best practices. Recommend improvements in architecture, tooling, developer experience, and testing strategy. Contribute to a culture of engineering excellence and innovation. About You You're an engineer who thrives in agile, collaborative environments and enjoys building systems that genuinely influence business outcomes. You bring strong Java expertise, familiarity with Spring/Spring Boot , and a solid understanding of RESTful APIs and microservices . Experience with Kafka , SQL , and frontend technologies like Angular or React will help you shine. And if you have exposure to AI or Machine Learning , even better-that's a bonus our client truly values. Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 5-9 years of hands-on professional software development experience. Experience in financial services-particularly within FX Trading -is highly desirable. Strong communication skills and proven success working in agile, cross-functional teams. Join the Team Join a vibrant, forward-thinking engineering group dedicated to pushing the boundaries of technology in financial services. If you're excited to build mission-critical systems that elevate trading performance and user experience, we want to hear from you. Apply now and take the next step in your engineering career! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Due to the high volume of applications we receive, we are unable to respond to everyone individually. If you do not hear from us within 48 hours of applying, please assume that your application has been unsuccessful on this occasion.

Senior Data Engineer (Python & SQL) Location London with hybrid working Monday to Wednesday in the office Salary 70,000 to 85,000 depending on experience Reference J13026 An AI first SaaS business that transforms high quality first party data into trusted, decision ready insight at scale is looking for a Senior Data Engineer to join its growing data and engineering team. This role sits at the core of data engineering. You will work with data that is often imperfect and transform it into well structured, reliable datasets that other teams can depend on. The focus is on engineering high quality data foundations rather than analytics or cloud infrastructure alone. You will design and build clear, maintainable data pipelines using Python and SQL within a modern data and AI platform, with a strong focus on data quality, robustness, and long term reliability. You will also play an important mentoring role within the team, supporting and guiding other data engineers and helping to raise engineering standards through thoughtful, hands on leadership. Why join A supportive and inclusive environment where different perspectives are welcomed and people are encouraged to contribute and be heard Clear progression with space to deepen your technical expertise and grow your confidence at a sustainable pace A team that values collaboration, good communication, and shared ownership over hero culture The opportunity to work on meaningful data engineering problems where quality genuinely matters What you will be doing Designing and building cloud based data and machine learning pipelines that prepare data for analytics, AI, and product use Writing clear, well-structured Python, PySpark, and SQL to transform and validate data from multiple upstream sources Taking ownership of data quality, consistency, and reliability across the pipeline lifecycle Shaping scalable data models that support a wide range of downstream use cases Working closely with Product, Engineering, and Data Science teams to understand data needs and constraints Mentoring and supporting other data engineers, sharing knowledge and encouraging good engineering practices Contributing to the long term health of the data platform through thoughtful design and continuous improvement What we are looking for Strong experience using Python and SQL to transform large, real world datasets in production environments A deep understanding of data structures, data quality challenges, and how to design reliable transformation logic Experience working with modern data platforms such as Azure, GCP, AWS, Databricks, Snowflake, or similar Confidence working with imperfect data and making it fit for consumption downstream Experience supporting or mentoring other engineers through code reviews, pairing, or informal guidance Clear, thoughtful communication and a collaborative mindset You do not need to meet every requirement listed. What matters most is strong, hands on experience using Python and SQL to work confidently with complex, real world data, apply sound engineering judgement, and help others grow through your experience. Right to work in the UK is required. Sponsorship is not available now or in the future. Apply to find out more about the role. If you have a friend or colleague who may be interested, referrals are welcome. For each successful placement, you will be eligible for our general gift or voucher scheme. Datatech is one of the UK's leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed)

We believe in better . And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis Proficie ncy in programming languages such as Golang and Python Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if , how far, and what next . But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better . And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis Proficie ncy in programming languages such as Golang and Python Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if , how far, and what next . But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky . Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. What you'll do Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection, and deployment strategies Provides technical guidance and mentorship to junior members of the engineering team Participates in Scrum / agile process Participates in on-call support with the rest of the team What you'll bring Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production Working experience and in-depth understanding of: - Large Language Models (LLMs) - Vector databases and semantic search - Retrieval-Augmented Generation (RAG) Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset Familiar with cloud services (e.g. AWS Lambda best practices) Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments Big Plus: PhD in related subjects Extensive machine learning research background, including a cademic publications in ML- related conferences or journals Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. The rewards Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.