302 jobs found

About the Team We are looking for a Technical Lead to join the Chemical Biology Resources team at the European Bioinformatics Institute (EMBL-EBI). The Chemical Biology Resources team provides world-leading chemogenomics resources to the scientific community. ChEMBL is a database of quantitative small-molecule bioactivity data curated primarily from the scientific literature widely used to support drug discovery projects in industry and academia. SureChEMBL is a complementary patent resource containing chemical structures extracted from patents daily. UniChem links chemical structures across databases. ChEBI is a highly curated database and ontology of compounds of biological interest. OPSIN converts systematic chemical names into chemical structures. The Technical Lead is part of the leadership team in the group, which consists of an international and interdisciplinary mix of professional scientists and software engineers. You will manage a team of engineers that maintain and develop our websites, APIs and data workflows. You will be working closely with the Team Leader, ChEMBL Group Coordinator and Senior Scientific Developer to ensure that the teams resources are maintained and developed in a sustainable way that is flexible enough to support ongoing changes and improvements to what we do. Duties & Responsibilities In this role you will: Oversee and maintain critical infrastructure supporting ChEMBL, SureChEMBL, ChEBI, OPSIN, and UniChem platforms, including Kubernetes clusters, virtual machines, database environments (SQL, MongoDB), transfer services (FTP, etc.), networking and compute clusters Proactively track and implement EBIs IT database patch schedules and coordinate infrastructure migrations/updates Develop and implement a comprehensive monitoring strategy across all services to ensure optimal performance and reliability Ensure the stability and continuous availability of existing systems, with particular focus on the ChEMBL platform and the teams ElasticSearch instance Further standardise and streamline deployment procedures to create consistency and efficiency across platforms Serve as the primary point of contact for all IT-related matters, providing expert guidance both internally and externally Lead the development and ongoing maintenance of all services within the portfolio, with hands-on implementation and technical problem-solving Maintain ongoing efforts to address technical debt so that our services remain in good health You have (Requirements) A degree in computer science or related field, or a PhD in a relevant computational discipline Several years professional experience involving backend development. Track record of delivered projects involving backend development Proficient in Python programming. Strong experience with Python backend frameworks such as Django or FastAPI. Strong experience with SQL databases (e.g., Oracle, PostgreSQL, MySQL). Experience with NoSQL databases such as Elasticsearch and MongoDB. Experience with DevOps practices such as CI/CD workflows (particularly using GitLab) and infrastructure as code. Proficient in working with Linux operating systems. Familiar with containerization technologies (Docker) and orchestration platforms (Kubernetes). Behaviours Experience managing a team. Self-motivated with good communication skills and the ambition to work with international collaborators and users. Advanced English language and excellent interpersonal skills Demonstrated ability to see the bigger picture and bring colleagues along with you, ensuring alignment across teams and driving collective success! You might also have (Desirable) Experience managing infrastructure for scientific or data science workflows. Experience with Java programming. An interest in life sciences is a plus. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance of £336 per child. Non resident allowance up to £569per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off: 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a 3 year grant based contract Salary: Monthly salary starting at£4,206 after tax but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. To apply, please submit a covering letter and CV via our online system. Applications will close on 05/01/2026. JBRP1_UKTJ

Location: Wallingford, UK (Remote considered) Hours: Full-time (part-time considered) Closing Date: 9 January 2026 Shape the future of hydrology and climate resilience. Our client is offering an exciting opportunity for an ambitious, collaborative Environmental Data Scientist or Hydrologist to join our clients growing software development team in Wallingford. If you want to innovate, solve real-world water challenges, and influence national environmental tools, we'd love to hear from you. In this role you will play a key role in developing our hydrological methods, modelling tools, and national design-standard software. Working at the intersection of hydrology, data science, and software development, you'll contribute to new methodologies, develop machine learning approaches, and support the scientific foundations of our products. You'll help advance the science powering products such as: Qube - our clients online water resources modelling platform, incorporating the CERF rainfall-runoff model. FEH Flood Modelling Suite - ReFH2 and WINFAP5, the UK's trusted flood estimation tools. Your role: Develop and manage hydrological methods for Qube. Contribute to ReFH2 and WINFAP5 development. Explore and implement machine learning enhancements to hydrological models. Support scientific research and integrate findings into commercial software. Work closely with regulators and users to ensure compliance, quality, and usability. Required Skills & Experience A good degree (2:1+) in a numerate discipline (Hydrology, Environmental Science, Civil Engineering, etc.). Strong programming skills in Python and/or R. Experience developing machine learning models for environmental or complex datasets. Confidence working with spatial/temporal datasets (NetCDF, ASCII, etc.). Excellent communication skills for both technical and non-technical audiences. Demonstrable experience in hydrology or water-related environmental science. A relevant postgraduate qualification is welcome but not essential. What you can expect in year one: Build deep expertise in Qube, CERF, and the FEH flood modelling suite. Develop Python modules and apply ML methods to hydrological problems. Become familiar with UK water environment regulatory frameworks. Collaborate with leading UKCEH scientists and liaise with UK regulators. Produce high-quality technical reports. Begin your journey toward professional chartership (e.g., CIWEM). Following your first year, opportunities include: Influencing the strategic development of our software products. Leading R&D projects as a Project Manager. Helping develop client proposals. Contributing to our strategic marketing and product development plans. Benefits & Culture Our client is an employee-owned trust, who invests in their people and their wellbeing. 40+ days holiday (with buy/sell options). Profit-share and tax-free bonuses through employee ownership. Matched pension contributions (5-10%). Health plan, Cycle to Work, Environment Day. 5 days training per year, plus support towards chartership. Flexible working arrangements. Financial support for professional memberships Formal appraisal and personal development planning Flexible working hours High-quality IT infrastructure & personal computing budget Fun annual staff events (axe throwing, escape rooms, and more)

Job Description Job Title: Software Engineer - Submarines Working Pattern: Full time (Days) Working location: Derby (Onsite) We have an exciting opportunity for a Software Engineer to help develop tools that support the design and manufacture of nuclear powerplants for the Royal Navy. You will build in-house web applications that help scientists and engineers work more efficiently and make better decisions. In this role, you will specify, design, test, and validate software components, and deliver high-quality code and documentation on time. You will break down designs, create tests, and ensure the software meets all requirements Our backend uses Python with scientific libraries (NumPy, SciPy, Polars), and our frontend uses React. Experience with these is helpful but not required. Why Rolls-Royce? Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount. We are proud to be a force for progress, powering, protecting and connecting people everywhere. We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey. We'll provide an environment of caring and belonging where you can be yourself. An inclusive, innovative culture that invests in you, gives you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference. What we offer: We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts. What you will be doing: With this exciting opportunity you will get a chance to be involved with the following: Developing web applications for the upload, processing, and visualisation of complex manufacturing datasets. Aggregating data to aid product manufacture, helping to reduce risk, time and cost in our products. Modernising our processes and methods, acting as an ambassador for software and digital methods. As a senior software engineer you will seek to mentor and upskill junior colleagues, through maintaining technical development, guiding process compliance, and supporting wellbeing. Who we're looking for: At Rolls-Royce we embrace agility, are bold, pursue collaboration and seek simplicity in everything we do. These principles form our values and behaviours and are an essential component of our assessment process and are fundamental qualities that we seek for all roles. To be successful in this role you will need to meet the following criteria: Demonstrable long-term experience of software development in a commercial environment. Preferably in fields with a focus on compliance (Financial services, medical, engineering, etc). A numerate, degree level, education (Computer Science, Mathematics, Physics, Engineering) or equivalent experience. Committed to developing high quality code that is interpretable, documented and tested. Taking responsibility to steer the governance and continuous improvement of these processes. With the support of the product owner, you will be keen to work with a range of customers from operations and engineering to elicit requirements and translate them to traceable code. Designing and architecting solutions for long term stability and maintainability. Have a delivery focussed mindset, able to make decisions that make best compromises between complexity and shipping value. This includes at the tech stack level. Experience of automation in the context of software development and deployment lifecycle. Demonstrable leadership attributes. This need not be a direct team leader or managerial role, but the behaviours and values commensurate with a senior position Have interests in topics beyond the typical scope of web application development, we are particularly keen to hear from applicants with interests in statistics, optimisation, and mathematics (Desirable). Experience of working during change or transformation. Building relationship within complex organisations and using this to influence outcomes (Desirable). We are an equal opportunities employer. We're committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives. And the more perspectives we have, the more successful we'll be. By building a culture of respect and appreciation, we give everyone who works here the opportunity to realise their full potential. You can learn more about our global Inclusion strategy at Our people Rolls-Royce To work for Rolls-Royce Submarines, you need to hold a Security Check (SC) clearance without any caveats to that clearance. Rolls-Royce will support the application for Security Clearance if you don't currently already have this in place. Due to the nature of work the business conducts and the protection of certain assets, you must hold a UK nationality. Any dual nationals will require additional scrutiny and background checks prior to commencing work with RRSL. Closing date: 16/01/2026 As part of our selection process, candidates in certain locations may be asked to complete an online assessment, which can include cognitive and behavioural aptitude testing relevant to the role. If required, full instructions for the next steps will be provided. Job Category Software Systems Posting Date 10 Dec 2025; 00:12 Posting End Date 16 Jan 2026PandoLogic.

You ll be joining a lean, high-performing data science team of three in a Fintech that s making serious moves in financial services. This role is about end-to-end ownership . From spotting opportunities to deploying models that stick, you ll need to roll up your sleeves, partner with business leaders, and deliver solutions that make a measurable difference. We require hands-on experience building and maintaining ML/AI predictive models . You'll need to evidence previous advanced predictive modelling or end-to-end ownership of said models. We re specifically looking for someone experienced with the f ull lifecycle of data science projects and advanced modelling (ML/AI) - not just analysis, dashboards, or oversight. This is about leading your own projects, driving outcomes, and being accountable for real commercial impact. Location: Nottingham (4 days per week in office) Salary: c£65,000 - £75,000 (DOE) Why This Role Matters Your work will shape how the business operates. To give you an example, one of your future teammates has already transformed the collections function by building models that determine who to call, when to call, and when to send comms - driving a step change in efficiency and results. Now it s your turn. You ll work with senior stakeholders, dig into business pain points, pitch smart solutions, and deliver predictive models that directly influence decisions across the company. What We re Looking For Proven impact - you ve taken models into production and seen them deliver real results. Autonomous leadership - confident in owning projects, engaging stakeholders, and holding yourself accountable. Technical credibility - strong hands-on data science capability (R, Python, or similar). What matters is outcomes, not syntax. Commercial mindset - able to translate technical solutions into business impact, spotting opportunities others might miss. Energy & curiosity - proactive, problem-seeking, and solutions-focused. The Tech (Flexible) Current stack: R, Databricks, SQL Open to Python and other modern tools - what matters is results. What You ll Get High visibility and autonomy - your work won t be buried in layers of hierarchy A direct line to senior leadership and real influence over business decisions The chance to work with sharp, passionate people solving real-world problems with data This role is four days a week in the Nottingham office . No hiding behind Zoom - you ll be embedded in the business, collaborating face-to-face, and influencing directly. If that s a fit for you, this could be a career-defining move! How to Apply If you re a Data Scientist who wants to own projects, deliver real outcomes, and be recognised for your impact, we d love to hear from you.

Data Scientist - ML & Consumer Lending South West, UK Hybrid working, strong salary dependent on experience The client South West based, modern office hub, and a major consumer lending portfolio. This is a chance to join a well known financial services group that is investing heavily in data, Applied Data Science, and Machine Learning to stay ahead of the market and improve how it serves its customers. The business is moving towards cloud native, production grade ML, backed by senior leaders who see Data Science as central to the next chapter of growth. You will sit close to real decision making, working with product, risk, and engineering teams to turn data and ML into tangible customer outcomes. The role You will join a growing data science team focused on credit cards and wider consumer lending. Your work will span the full ML lifecycle, from exploratory analysis and model build, through to working with ML Engineers to get models into production and keep them performing as the data strategy matures. The team is open to Data Scientists at different stages, from those looking to build on a first industry role, through to more experienced practitioners who want broader ownership and influence. What you will be doing Building and enhancing Python based ML models across the credit card portfolio Using SQL on large, complex datasets to engineer robust, reusable features Partnering with ML Engineers to deploy containerised models and support production ML workflows Working with product and risk stakeholders to identify and shape high value ML and AI use cases Operating within a clear model risk and governance framework, with room to experiment and learn Presenting findings in plain language and helping non specialists act on the insights What we are looking for Strong grounding in statistics and or Machine Learning, plus solid Python Confident SQL skills and experience with real world, messy datasets Experience of the ML lifecycle, ideally including production or near production environments Exposure to modern cloud and analytics tooling, for example BigQuery or Vertex, and BI tools Interest in credit cards or consumer lending, and how ML and AI can improve fairness and outcomes You will join a friendly team that values curiosity, knowledge sharing, and personal growth. There is genuine scope to shape how ML and AI are used in the business, whether you see your future in deeper technical expertise or in a more leadership focused path. If this sounds like the kind of environment you want to be part of, we would love to hear from you.

Senior Data Engineer London 2-3 days on-site 65,000 - 72,000 + 20% Bonus + Excellent Benefits Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Databricks Strong working knowledge Azure Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.

Data Scientist - 6-Month Contract (Inside IR35) Rate: 400 per day Location: Mostly remote with occasional visits to London office Clearance: BPSS clearable Start: Jan 2026 We're looking for an experienced Data Scientist to join a 6-month project focused on improving healthcare screening strategies. You'll work on impactful questions around population changes, geographical factors, and operational models for screening services. Key Requirements: Strong skills in Python, Pandas, SQL, and data wrangling Experience with BI tools and data visualization Previous medical sector experience is essential BPSS clearability Comfortable working in Agile environments What's in it for you? Mostly remote working Opportunity to make a real difference in healthcare delivery Collaborative and dynamic team environment To discuss this role further please submit your CV or contact Brandon Forbes Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

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 Lead 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: Lead the 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. Advanced 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) caf s 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.

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. Job Title : Lead AI Scientist Contract : Initial 6-Month Contract Location : London Rate : 750 - 800 inside umbrella About Us: Join an organization that is at the forefront of delivering safe, secure energy to homes, communities, and businesses! We are dedicated to connecting people with the energy they need while shaping the sustainable future of our industry. As we navigate a rapidly changing landscape, we seek to anticipate customer needs, optimize energy delivery costs, and innovate flexible energy systems. By delivering on our promises and pursuing growth opportunities, we aim to revolutionize the energy sector. In our IT and Digital division, we collaborate with diverse energy businesses, leveraging technology to drive efficiency and empower our teams. With a strong commitment to Agile methodologies and a digital mindset, we are leading the charge towards a carbon-free future. Join our multicultural, customer-centric global team and embark on an exciting professional development journey! Your Role: As the Lead AI Strategy & Value Specialist, you will be pivotal in expanding the roadmap of AI opportunities within our AI Center of Excellence. You will ensure that our business units make impactful investments in analytics and AI while maximizing the value of these investments. Your responsibilities will include: Scoping Opportunities : Collaborate with core business and IT teams to identify high-impact AI opportunities and envision analytics-powered processes. Business Case Documentation : Create compelling business cases that outline financial and non-financial benefits of proposed AI solutions. Collaboration with Delivery Teams : Work closely with solution delivery teams to define technical requirements and serve as the main interface with business units. Performance Tracking : Monitor AI program performance using KPIs to assess the impact of AI solutions and engagement with the Value Office. Governance Support : Partner with data and AI governance teams to evaluate risks associated with analytics and AI solutions. Engaging Presentations : Craft and present engaging updates to leadership and stakeholders, showcasing the vision, progress, and impact of the AI Value Office. Executive Reporting : Deliver concise reports on AI Value Office achievements and future initiatives. Strategy Development : Support the organization's AI and data strategy development while staying current with industry trends. What You'll Bring: A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Statistics, Economics, Business Management, or a related field. Relevant experience in asset-heavy industries such as Utilities, Energy, Mining, Engineering, or Manufacturing. A strong understanding of Analytics and AI, including Generative AI, and a passion for leveraging these solutions to drive business success. Exceptional business analysis skills, with expertise in capturing requirements and crafting clear business cases. Outstanding presentation skills, with a knack for delivering impactful content to diverse audiences. Proven communication and stakeholder management abilities, especially engaging with senior executives. An independent work ethic, with the ability to influence and navigate within a matrixed organization. Experience in a consulting role is a plus, particularly in strategic transformation initiatives related to data, analytics, or AI. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. 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.

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 Lead 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: Lead the 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. Advanced 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 are working with a high-growth AI technology company in the Greater Cambridge area who are seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This is a hands-on R&D role ideally suited to engineers and scientists who enjoy fast-paced prototyping, complex problem-solving, and developing cutting-edge UAV/drone detection technologies. In this role, you will analyse complex RF data from software-defined radios (SDRs), develop advanced signal-processing pipelines, and contribute directly to the design and testing of novel sensing systems. You will be responsible for extracting and classifying RF signal features from raw IQ data, building diagnostic tools to characterise RF signals, and designing data-processing pipelines that account for real-world hardware constraints such as bandwidth limitations, ADC performance, and timing jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with frameworks such as GNU Radio, ZMQ, or C++ backends. The role involves leading RF data collection, field experiments, and over-the-air testing with drones, wireless devices, and custom transmitters. Collaboration across engineering and research teams is central, and you will contribute to both experimental design and iterative R&D development. The ideal candidate will have strong Python proficiency for data analysis and prototyping, a solid understanding of digital signal processing (FFT, filtering, modulation, correlation, resampling, and noise modelling), and familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR. A practical understanding of RF hardware chains - from antenna through filters, mixers, and ADCs - and their impact on baseband data is essential. You should also be comfortable debugging SDR setups, performing field-based RF data collection, and analysing wireless protocols such as Wi-Fi, LTE, and LoRa. Strong communication skills and the ability to work iteratively in a research-focused environment are essential. Experience with SDR hardware (bladeRF, HackRF, USRP, PlutoSDR), RF lab equipment (spectrum analysers, VNAs, signal generators), embedded or real-time systems, beamforming, passive radar, or antenna array design is highly desirable. Knowledge of RF circuit fundamentals, FPGA or GPU acceleration, and prior publications, patents, or open-source RF/ML contributions are also beneficial but not essential. This is a full-time role based in Saffron Walden / Greater Cambridge, with flexibility for onsite or hybrid working depending on project needs. You will join a dynamic Research & Prototyping team, directly influencing early-stage hardware-software product development and shaping the next generation of AI-driven sensing technologies. If you are an experienced RF data scientist or research engineer looking for a hands-on role at the cutting edge of RF, signal processing, and machine learning, we would love to hear from you. Zero Surplus is one of the UK's premier recruitment agencies, based just outside Cambridge our recruiters source staff for small and international businesses across Suffolk, Essex, Hertfordshire, Northants, Milton Keynes, Cambridgeshire, and the rest of the UK. For registration purposes, please let us know where you are currently based or which locations you are considering as well as your required salary and notice period. Please upload a Microsoft Word version of your CV where possible, excluding text boxes or images. Any data we collect from you will be stored and processed in accordance with Zero Surplus' Privacy Policy.

Applied analytics for RF hardware, signal processing and machine learning South Cambs / Essex; £60,000 to £90,000 DoE This applied AI start-up has proprietary technology around ML modelling for RF signal characterisation and modification. Their solutions have significance for military applications around drone detection and defence. Due to further projects, they are looking to recruit a Senior Data Scientist Research Engineer to take a leading role on their applied RF work and help advance their signal processing pipelines, and ultimately develop next generation prototype technologies. You re likely be a PhD holder in electronics, physics or computer science and have significant skills and experience in the following areas: - Expert Python proficiency for data analysis and prototyping (NumPy, SciPy, PyTorch). - Demonstrable applied experience of digital signal processing (FFT, modulation, noise modelling, resampling). - Experience with SDR frameworks (GNU Radio, SDRangel, SoapySDR). - Understanding of RF hardware (antenna, filters, mixers) including baseband data. - Experience analysing wireless protocols (Wi-Fi, LTE, LoRa). Due to the engineering aspects of projects, the ability to confidently use RF lab equipment (spectrum analysers, signal generators) would be desirable. Similarly, any exposure to embedded or real-time systems; MATLAB, C++ or Rust; or RF circuit fundamentals would be beneficial. Your application would significantly stand-out if you have publications or patents in RF-ML, especially relating to drone / autonomous technologies. Due to the nature of projects, the role would be fully onsite at offices based close to the Cambridgeshire and Essex border (commuting by car from Cambridge, Chelmsford, Royston, Bishop's Stortford is all possible). On offer is an excellent opportunity to join this start-up, work with like-minded people on interesting projects with real world applied impact. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27540 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardware software systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments. Key Responsibilities Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features Building diagnostic RF analysis tools (time frequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna filters mixers ADC) and their impact on baseband data Experience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures Comfortable debugging SDR setups and performing field-based RF data collection Strong communication skills and ability to work effectively within an iterative R&D team Desirable Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators) Experience in passive radar, beamforming, TDoA, Doppler, or direction finding Familiarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.) Programming experience in MATLAB, C++, Rust, or similar languages Knowledge of RF circuit principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware software product development Interested? Please Click Apply Now! Senior RF Data Scientist / Research Engineer Near Cambridge

Product Data Scientist Location: Remote - UK Type of role- 6 Months contract with potential extension Payrate - 435 Per Day - 590 Per Day Inside IR35 We're looking for experienced Senior Data Scientists to join a leading global streaming and technology platform, supporting their product, design, and engineering teams. What You'll Work On Designing and analysing A/B experiments across high-visibility product surfaces Creating success metrics and shaping data-driven measurement strategies Deep analytical work using SQL (BigQuery) + Python/R Building dashboards in Tableau / Looker Studio Delivering clear, actionable insights to senior stakeholders Supporting either the User Platform (login, account systems, identity management). What We're Looking For 5+ years as a product-focused Data Scientist Strong background in A/B testing and experimentation High proficiency in SQL (BigQuery preferred) Skilled in Python or R Excellent communication and stakeholder management Experience working in fast-paced consumer tech or streaming environments is a strong plus This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Senior Data Scientist - Fintech First Permanent DS Hire £75,000-£85,000 + benefits Fully Remote (UK) Direct report to CDO Build the DS capability FCA-regulated product This is a rare opportunity to join a fast-growing, FCA-regulated fintech as their first permanent Senior Data Scientist, shaping a brand-new data science capability from the ground up. The business has built a highly successful SaaS platform in the Fintech space. With strong investment and FCA approval now secured, they're moving firmly into the data products and insights space - turning the rich consumer financial and behavioural data they hold into real intelligence, new models, and new customer offerings. Things expected from you Sets the standard Builds the capability Shapes the roadmap Becomes the go-to person for modelling, insights and DS foundations If you're someone who enjoys autonomy, variety, being close to stakeholders, and having genuine influence in a startup that's now scaling - this is the ideal next step. This is a genuinely varied and hands-on role where you'll: Build and scale data science and modelling foundations in Databricks Work with financial, consumer and behavioural data to create new models & scorecards Design MI dashboards and reporting to help the business understand its own data Collaborate closely with Product, Finance, Customer Ops and the senior leadership team Evaluate where ML/AI can enhance the core SaaS platform Present insights and model outputs clearly to non-technical stakeholders (including board/NEDs) Influence how the data function grows over the next 12-24 months This is the start of the data and analytics function - you won't just inherit a roadmap; you'll help write it. You'll thrive here if you are: A strong hands-on Data Scientist with experience in FS/fintech or regulated environments Confident working with Python, SQL and Databricks Capable of building predictive models, scorecards and ML components Comfortable creating dashboards/MI to support internal understanding Excited by a startup environment where you'll wear different hats Able to communicate clearly to senior and non-technical audiences Looking for ownership and long-term progression into Head of DS Why this role is genuinely exciting You're the first permanent hire - you shape how DS works here Direct line to the C-suite, not buried in a data pod True autonomy: you influence strategy, tooling, roadmap and delivery Visible across the entire business, including investors & NEDs The company is moving from SaaS - data products, meaning greenfield work Clear long-term upward path (team will grow over the next 12-24 months) - Underneath you ideally! This is the role for someone who wants more than just building models - someone who wants to make their mark and grow with a FinTech entering its next phase.

Chief Technology Officer (CTO) - Hands-On Back-End Developer Remote-Friendly London HQ Award-Winning Agricultural Technology Software Company Join an award-winning agricultural analytics software company that's redefining sustainable food production through data-driven technology . We're seeking a hands-on Chief Technology Officer (CTO) an exceptional technical leader who thrives on both strategic vision and deep technical execution . Role Overview As CTO, you'll lead the technical direction of our cutting-edge agricultural technology platform, while remaining deeply involved in hands-on back-end development . You'll architect scalable systems, drive innovation in sustainable technology, and guide a talented engineering team to deliver data-rich solutions that improve farm economics, productivity, and environmental impact . Key Responsibilities Lead technical strategy and oversee architecture for scalable, data-driven systems. Remain actively hands-on , designing and developing high-performance C#/.NET back-end systems . Mentor and guide a growing team of developers setting technical standards and driving best practices. Oversee end-to-end solution delivery, ensuring performance, security, and maintainability. Collaborate cross-functionally with data scientists, agronomists, and stakeholders to shape product direction. Own cloud infrastructure strategy and implementation on Microsoft Azure . Lead innovation in sustainability-focused agricultural technology and analytics . Contribute to recruitment and technical assessment (including coding challenge design and review). Candidate Assessment Process Our selection process includes a LeetCode-style technical challenge to evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer / Engineering Lead / CTO in data-heavy environments Demonstrable history of technical excellence and leadership in commercial software development Technical Expertise Advanced proficiency in C# / .NET Core / .NET Framework Strong command of Azure Cloud Services Deep experience with SQL Server and high-volume transactional systems Expertise in data architecture, performance optimisation , and scalable software design Solid understanding of algorithms, data structures, and computational complexity Bonus: Experience in FinTech or structured data environments with high reliability and scale Leadership Skills Visionary mindset with a hands-on engineering ethos Proven ability to scale teams and systems effectively Strategic decision-making with practical, code-level insight Strong communicator and collaborator across multidisciplinary teams Passion for fostering innovation and mentoring engineering talent Personal Attributes Exceptional attention to detail and analytical rigour Strong communication and collaboration skills Innovative and pragmatic problem solver Calm and decisive under pressure Genuine passion for sustainable technology and real-world impact What We Offer Remote flexibility with a London-based HQ Opportunity to lead cutting-edge agricultural technology development Work alongside respected professionals in a purpose-driven company Competitive salary plus company share scheme Platform to make a tangible impact on global sustainability