28 jobs found

Overview Job description Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage Posted Date: Feb 3 2026 At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Position Summary You will lead applied and translational omics analyses that turn complex biological data into clear decisions. You will work with experimental scientists, data engineers, and clinical teams to design analyses and integrate multi-omic and clinical data. We value clear communication, practical problem solving, curiosity, and collaboration. This role offers visible impact, career growth, and aligns with our mission of uniting science, technology and talent to get ahead of disease together. This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following: Design and run reproducible analyses of genomic, transcriptomic, proteomic and other omics datasets. Integrate multi-omic and clinical data to prioritize targets, nominate biomarkers, and define patient subgroups. Build, validate and productionize analysis pipelines and tools that support cross-functional teams. Communicate results clearly and make practical recommendations to project teams and decision-makers. Collaborate with laboratory and clinical colleagues to design analyses that guide experiments and studies. Ensure data quality, metadata standards, documentation and reproducible research practices. Key Responsibilities: Lead hands-on analysis of large, diverse omics datasets, including bulk and single-cell data. Apply statistical methods, machine learning, and causal inference to answer translational questions. Develop scripts, workflows, and software artifacts that follow reproducible research and FAIR principles. Troubleshoot data issues, perform rigorous quality control and document analysis steps. Mentor junior scientists and contribute to a collaborative and respectful team culture. Monitor new methods and tools and evaluate them for adoption in projects. Impact the GSK drug development pipeline through development and application of innovative computational and statistical approaches to the analysis, integration and interpretation of spatial, single cell and other cutting edge high dimensional multi-omic data. Help drive the evaluation and development, and lead the application, of analytics methods for spatial and single cell omics in the context of clinical studies. Work within or lead cross-functional project teams with GSK scientists and external collaborators, focusing on impacting clinical study and biomarker decisions across respiratory, immunology, infectious disease, neurodegeneration or metabolic disease. Effectively communicate analysis findings and recommendations, with expert interpretation, to project teams. Work with focus and agility to deliver against objectives, demonstrating strong statistical, analytical and critical thinking skills. Additional responsibilities include advancing analytics in spatial and single-cell omics within clinical studies and collaborating across cross-functional teams to support biomarker decisions. Why You? Basic Qualifications: Advanced degree (Master's with relevant experience or PhD preferred) in computational biology, bioinformatics, genetics, biostatistics, or related field. Programming experience in R and/or Python for data analysis and scripting. Experience processing and analyzing large omics datasets, including quality control and normalization. Experience with common genomics file formats and tools (for example VCF, BAM/FASTQ, single-cell data structures). Experience reproducible analyses and use of version control (for example Git). 1+ years of experience with single-cell and spatial omics analysis workflows. Preferred Qualifications: Clear communication skills and experience working in multidisciplinary teams. Experience integrating omics with clinical or real-world data for translational analyses. Experience productionizing pipelines or contributing to shared analysis platforms. Evidence of influencing research through publications or major project contributions. Proven ability to derive and apply novel insights from these and other emerging genomic technologies. Ability to critically evaluate cutting-edge tools and frameworks for single-cell and spatial data analysis, integration, visualization, and interpretation, and their application to clinical development. Proven expertise in statistical modelling, hypothesis testing, and data-driven inference. Expertise in statistical approaches to the identification and assessment of predictive and prognostic biomarkers. Experience with clinical trial data analysis and working in a regulatory environment. Notes: This position requires on-site attendance in accordance with GSK's Performance with Choice policy. Salary and benefits: If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges from $121,275 to $202,125. The US salary ranges take into account factors including location, skills, experience, and market rate. This position offers an annual bonus and eligibility to participate in our share-based long-term incentive program. Available benefits include health care and other insurance benefits, retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit the GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. If your inquiry does not relate to adjustments, we will not be able to support you through these channels. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, pregnancy, gender identity, or sexual orientation, parental status, national origin, age, disability, or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK.

Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology, we have an excellent opportunity for a Software Engineer/ Computer Scientist (Applied Sciences) intern to join our talented team in our global head office in Oldham, Greater Manchester for 12 months starting in Summer 2026. The role Overview: As a Software Engineer Intern working in the Applied Sciences Group, you ll work closely with our experienced team of Software Engineers, Physicists and Data Scientists to support the deployment of cutting edge algorithms within ITL s hardware platforms. Here at ITL, we offer Real-world experience working on impactful projects. Guidance and mentorship from experienced professionals. Networking opportunities within the technology industry. A collaborative and dynamic work environment. Potential for a full-time role upon successful completion of the internship. This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your responsibilities: You will be working in a fast-paced environment that offers opportunities to create and to develop, our Software Engineers. You will be applying all aspects of their learning while delivering against targets and supporting and improving the efficiency and performance of our codebase and hardware platforms. As a Computer Science Intern, you will: Collaborate with the computer science team to design, develop, and test software applications. Write clean, efficient, and maintainable code for various projects. Debug and troubleshoot issues in existing systems. Participate in brainstorming sessions and contribute to the development of new ideas. Conduct research on emerging technologies and recommend their applications. Document processes, technical designs, and findings. Qualifications: An undergraduate working towards a degree in either Software Engineering, Data Science, Mathematics, Computer Science or a similar related subject. Your Skills and Experience: Strong experience of programming in Python. Basic knowledge of algorithms, data structures, and object-oriented programming Familiarity with software development methodologies (e.g., Agile, Scrum) An excellent communicator who s analytical minded with a practical approach to solving problems. Your Package and Perks A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year Educational Sponsorship Enhanced Pension Contribution Healthcare Insurance (including dental) Wellbeing support Life Insurance Income Protection Insurance Free secure parking Onsite electric car charging points Cycle to Work Scheme Informal dress code Paid breaks, with free premium hot drinks We re Innovative Trading for over 30 years here at Innovative Technology, where we now have offices on five continents and employ around 400 people, with over 170 based from our state-of-the-art R&D hub. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world s leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we ve seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You ll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What s next? If you re looking to develop as Software Engineer/ Computer Scientist (Applied Sciences) throughout your Industrial Placement Year and want to join our award-winning team on the latest cutting-edge technology we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services. Due to the high volume of applications we receive, our selection process is thorough and may take up to two months to complete. We appreciate your patience as we give every candidate's profile the attention it deserves. This is a two-part interview process, starting with a brief telephone screening followed by a formal site-based interview.

About GBG Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role CVML Teams At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation. Director - Machine Learning The Director of Machine Learning provides strategic, technical, and people leadership for machine learning initiatives across the Documents & Biometrics organization. This role is accountable for defining the long term AI/ML vision and roadmap, translating business and product strategy into impactful ML capabilities, and ensuring the reliable, ethical, and scalable delivery of ML models into production. The Director operates as both a senior technical authority and an organizational leader, driving innovation, mentoring teams, influencing stakeholders, and ensuring that machine learning efforts deliver measurable customer and business value. This role requires deep expertise in machine learning and computer vision, strong leadership capability, and the ability to operate effectively across product, engineering, operations, compliance, and executive leadership functions. What you will do Strategic Leadership & Vision Define, own, and execute the long term AI and Machine Learning strategy for the Documents & Biometrics domain, aligned with company objectives and product roadmaps. Identify opportunities where machine learning can materially improve classification, extraction, fraud detection, image processing, and overall product performance. Serve as a thought leader for AI/ML within the organization, advocating for modern approaches, emerging technologies, and best practices. Technical & Delivery Leadership Provide hands on technical leadership across the full ML lifecycle, including research, model design, experimentation, validation, deployment, and continuous improvement. Raise the bar for technical excellence while fostering an inclusive, high engagement team culture. Oversee the development and productization of ML models addressing real world document and biometric challenges at scale. Establish and evolve robust MLOps practices to ensure reproducibility, reliability, observability, cost effectiveness, and consistent high quality model delivery. Ensure the availability, quality, and scalability of labeled data pipelines necessary to support ongoing model development and accuracy improvement. People & Team Leadership Lead, mentor, and develop a team of senior machine learning engineers and technical leaders, fostering a culture of trust, accountability, collaboration, and continuous learning. Build high performing teams that balance innovation with operational excellence. Set clear expectations, provide regular feedback, and support the professional growth and progression of team members. Builds trust through transparency, technical credibility, and consistent delivery. Cross Functional Collaboration Partner closely with Product Management to define AI/ML roadmaps, prioritize initiatives, and ensure timely and high impact delivery. Collaborate effectively with Engineering, Architecture, Data, Platform, Security, Legal, and Compliance teams to ensure ML systems are scalable, secure, and compliant. Represent Documents & Biometrics in cross company forums related to AI strategy, governance, and innovation. Governance, Ethics & Compliance Ensure that machine learning systems are developed and operated in accordance with applicable AI governance frameworks, regulatory requirements, and ethical best practices. Contribute to company wide AI governance efforts, including AI risk assessment, documentation, explainability, and stakeholder readiness. Promote appropriate AI literacy within the team and ensure responsible design and use of ML technologies. Operational Excellence Manage multiple complex initiatives simultaneously, balancing innovation, delivery commitments, and operational stability. Ensure adherence to industry best practices, architectural standards, and engineering quality bars. Maintain high levels of team morale, engagement, and delivery velocity. Skills we're looking for PhD in AI, Machine Learning, Computer Science, or a related field, or equivalent depth of industry experience. Deep technical expertise in machine learning, computer vision, and deep learning applied to real world, production systems. 10+ years of hands on experience in machine learning and computer vision, with a substantial portion in leadership roles. Significant experience leading and scaling machine learning teams in a product focused environment. Proven track record of delivering ML solutions end to end, from concept through production and ongoing optimization. Strong experience building and operating MLOps pipelines, data workflows, and production ML systems. Demonstrated ability to influence across organizational boundaries and communicate effectively with both technical and non technical stakeholders. Experience operating in highly dynamic, fast moving environments with competing priorities. Experience with regulated environments, AI governance frameworks, or compliance driven ML development would be beneficial Experience delivering ML solutions with measurable customer or business impact at scale To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we're a great place to work, drop an email to we'll be in touch. You can also find out more about careers at Unleash your potential and be part of our mission to power safe and rewarding digital lives.

Senior Machine Learning Engineer - Data Science Focus Based in London (Hybrid - 2 days onsite) Permanent, Full-Time Salary: Up to 95,000 (depending on experience) We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. This is a hands-on role combining data science expertise with engineering skills - you'll build models, optimise algorithms, and deploy solutions at scale to enhance customer engagement and decisioning. You'll work closely with Data Scientists to translate prototypes into robust applications, ensuring performance, governance, and reliability. If you're passionate about applied AI, data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you. Role and Responsibilities Data science & modelling: Develop, validate, and optimise predictive models using advanced ML algorithms (e.g., gradient boosting, logistic regression, ensemble methods). End-to-end ML engineering: Deploy models as APIs, batch jobs, and streaming services; implement CI/CD, monitoring, and rollback strategies. Feature engineering & pipelines: Build scalable data workflows and feature stores for ML applications. Infrastructure & tooling: Containerise applications with Docker, orchestrate with Kubernetes, and deploy securely in AWS. Model governance: Apply best practices for evaluation, drift monitoring, and compliance. Collaboration: Partner with Data Scientists and business stakeholders to translate insights into production-ready solutions. Key Skills and Experience Master's degree in a STEM or quantitative discipline (PhD nice to have). 3+ years of industrial ML engineering experience (not purely academic; not focused on Generative AI). Strong data science fundamentals: supervised learning, evaluation metrics, feature engineering, and experimentation. Production-grade Python proficiency and ability to write clean, maintainable code. Comfortable with complex SQL queries. Hands-on experience with AWS (ECR/ECS/EKS, Lambda, S3, IAM, CloudWatch), ideally AWS-certified. Experience with Docker and Kubernetes in production environments. Degree (BSc/MSc) in a STEM or quantitative discipline; PhD desirable. Strong communication skills and ability to explain technical concepts clearly. Apply now with your most up-to-date CV and a short note highlighting your experience with Python, SQL, AWS, Docker, Kubernetes, and data science projects. Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment. Tate is acting as an Employment Business in relation to this vacancy. Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.

About us The Department of Informatics is looking to appoint a Lecturer in Artificial Intelligence (Academic Education Pathway). This is an exciting time to join us as we continue to grow our department and realise our vision of building a diverse, inclusive and innovative Department of Informatics at one the most prestigious universities in the UK. We are seeking an exceptional educator to join a multi-faculty team designing and delivering a sector-leading, fully online, interdisciplinary digital education programme: the MSc Applied Artificial Intelligence, launching in January 2027. This innovative programme will form part of a broader portfolio of interdisciplinary, AI-focused educational offerings across the university, designed to equip graduates from diverse academic and professional backgrounds with a rigorous understanding of artificial intelligence and its societal, ethical, and theoretical foundations. The postholder will play a central role in the design, development, and delivery of high-quality, engaging online learning experiences that reflect best practice in digital pedagogy and the evolving role of AI in society. The role will contribute to teaching core conceptual and contextual topics such as the foundations and history of AI, knowledge representation, reasoning and inference, search and decision-making, research methods, and the ethical and societal implications of AI and responsible innovation. You will work collaboratively with colleagues across multiple faculties to ensure the programme is coherent, academically rigorous, and genuinely interdisciplinary. King's has a number of family-friendly policies, including, the right to apply for flexible working, and support for staff returning from periods of extended absence, for example maternity leave. The Department of Informatics is committed to ensuring an inclusive interview process and will reimburse up to £250 towards any additional care costs (for a dependent child or adult) incurred as a result of attending an interview for this position. About the role Key responsibilities include: Contributing to the curriculum design, module development, and assessment strategy for the MSc Applied Artificial Intelligence. Delivering high-quality online teaching across areas such as reasoning and knowledge representation, search optimisation and decision-making. Supporting students in developing critical understanding of the history of AI and how responsible innovation is derived, research methods, and the broader implications of AI technologies across different sectors. Ensuring content is accessible and inclusive for a diverse global learner audience with varied academic and professional backgrounds. Innovating in digital pedagogy, including asynchronous and synchronous online teaching approaches, interactive content design, and online community building. Working as part of the multi-faculty team delivering the MSc and contributing to the wider suite of interdisciplinary AI-focused programmes. Contributing to scholarship in teaching and learning in AI education, consistent with the needs of the department and faculty. Delivering excellent student support, including acting as Personal Tutor to students on the MSc Applied Artificial Intelligence. Where required, undertaking enabling roles such as Senior Tutor or Assessment Sub-Board Chair, as part of the overall full-time workload allocation for the post. The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post. Working Pattern This is a full-time (35 hours per week) post, and you will be offered an indefinite contract. The role works with a hybrid working pattern. While some on-site presence will be required for team collaboration, events, and programme activities, there is potential for a substantial proportion of working hours to be undertaken remotely. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Ability to teach across AI foundations and more advanced topics of AI to learners from varied academic and professional backgrounds. Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Commitment to high-quality, learner-centred education and to shaping a leading online programme in applied artificial intelligence. Willingness to collaborate across disciplines and contribute to a dynamic, outward-facing programme team. Essential criteria: PhD in computer science, artificial intelligence or related field. Ability to teach at FHEQ level 7 (Master's level) across AI foundations and machine learning to learners from varied academic and professional backgrounds. Ability to develop and deliver high quality and innovative teaching, including teaching delivered by distance learning or online methods. Commitment to high quality, learner centred education and to shaping a leading online programme in applied artificial intelligence. Proven ability to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Strong organisational skills, enabling management of curriculum development and delivery alongside any scholarship activity Desirable criteria: Experience of online teaching and assessments, digital learning design, or innovative pedagogical approaches (highly desirable). Evidence of pedagogical or education-focused scholarship outputs (e.g. publications in education journals). Closing date: 29 March 2026.

The Department of Informatics is looking to appoint a Lecturer in Artificial Intelligence, Programming and Software Development (Academic Education Pathway). This is an exciting time to join us as we continue to grow our department and realise our vision of building a diverse, inclusive and innovative Department of Informatics at one the most prestigious universities in the UK. We are seeking an exceptional educator with strong expertise in applied AI programming and software development to join a multi-faculty team designing and delivering a sector-leading, fully online, interdisciplinary digital education programme: the MSc Applied Artificial Intelligence, launching in January 2027. This innovative programme will sit within a broader portfolio of interdisciplinary, AI-focused educational offerings across the university. The postholder will play a central role in the design, development, and delivery of practice-oriented, programming-focused learning experiences that equip students from allied disciplines with the skills to build, deploy, and evaluate AI systems in real-world contexts. You will work collaboratively with colleagues across multiple faculties to ensure the programme is coherent, academically rigorous, and grounded in industry-relevant AI programming practices. King's has a number of family-friendly policies, including, the right to apply for flexible working, and support for staff returning from periods of extended absence, for example maternity leave. The Department of Informatics is committed to ensuring an inclusive interview process and will reimburse up to £250 towards any additional care costs (for a dependent child or adult) incurred as a result of attending an interview for this position. Key responsibilities include: Contribute to the curriculum design, module development, and assessment strategy for the MSc Applied Artificial Intelligence, with a strong emphasis on applied programming, software engineering, and system implementation with the specific aim of implementing AI solutions. Deliver high-quality online teaching focused on hands-on AI development, including topics such as: Programming for AI (e.g. Python-based workflows, data pipelines, model training and evaluation). Applied machine learning and deep learning implementation. Practical use of AI frameworks, libraries, and development tools. Building, testing, and deploying AI-enabled applications. Design and assess authentic, programming-based learning activities, including programming assignments, projects, and applied case studies that reflect real-world AI practice. Ensure all learning materials, programming activities, and assessments are accessible and inclusive for a diverse, global learner audience with varying technical backgrounds. Innovate in digital pedagogy for applied AI programming, including the use of interactive programming environments, asynchronous and synchronous online teaching, peer learning, and online developer communities. Work collaboratively within the multi-faculty MSc team to ensure technical coherence, programming skill progression, and alignment with industry practice, and contribute to the wider suite of interdisciplinary, AI-focused programmes. Contribute to a programme of scholarship of teaching and learning in applied AI programming and computing education, aligned with departmental and faculty priorities. Provide excellent student support, including acting as Personal Tutor to students on the MSc Applied Artificial Intelligence. Where required, undertake enabling academic roles such as Senior Tutor or Assessment Sub-Board Chair, as part of the overall full-time workload allocation. Working Pattern This is a fulltime, open-ended, role with a hybrid working pattern. While some onsite presence will be required for team collaboration, events, and programme activities, there is potential for a substantial proportion of working hours to be undertaken remotely. This is a full-time appointment, and you will be offered an indefinite contract. To be successful in this role, we are looking for candidates to have the following skills and experience: The successful candidate will demonstrate: Ability to teach across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Commitment to high quality, learner centred education and to shaping a leading online programme in applied artificial intelligence. Willingness to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Essential criteria: PhD in computer science, artificial intelligence or related field. Ability to teach at FHEQ level 7 (Master's level) across AI foundations, programming, and machine learning to learners from varied academic and professional backgrounds. Ability to develop and deliver high quality and innovative teaching, including teaching delivered by distance learning or online methods Commitment to high quality, learner centered education and to shaping a leading online programme in applied artificial intelligence. Proven ability to collaborate across disciplines and contribute to a dynamic, outward facing programme team. Strong organisational skills, enabling management of curriculum development and delivery alongside any scholarship activity. Desirable criteria: Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable). Evidence of pedagogical or education-focused scholarship outputs (e.g. publications in education journals). Closing date: 29th March 2026.

Lead Data Engineer/Head of Data Permanent On behalf of a fantstic cleint we are resourcing for the following role This is a senior, hands-on technical leadership role reporting directly to the CTO. You'll shape and deliver a modern data and AI platform, lead a small team of data and analytics engineers, and embed machine learning, AI agents, and advanced analytics into real customer workflows. The Role You'll own the end-to-end data and AI capability - from platform architecture through to production ML systems - ensuring data and AI are applied thoughtfully, responsibly, and with clear business impact. What You'll Do Design and evolve a secure, scalable data & AI platform with Snowflake at its core Build production-grade data pipelines, models, and data products for analytics and AI use cases Design, train, and deploy ML models, embeddings, and vector stores to enable AI-driven experiences Lead and mentor a small, high-impact team of data and analytics engineers Partner closely with Product, Engineering, and Infrastructure teams Set standards for data quality, governance, security, and performance Act as a trusted technical advisor to the CTO and senior leadership What We're Looking For Essential Expert-level Snowflake experience (modelling, optimisation, advanced features) Strong Python skills across data engineering, ML, and AI development Proven experience delivering production ML systems Hands-on experience with embeddings, vector databases, and LLM-driven systems Deep understanding of modern data engineering practices (ELT, orchestration, versioning) Nice to Have Background in data science or applied ML Experience building AI agents or intelligent automation Familiarity with cloud-native architectures and MLOps

Forward Deployed Engineer Generative AI / LLM Deployment GenAI LangChain RAG AWS Kubernetes Customer-Facing We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments. This is a hands-on, customer-facing role focused on building and deploying RAG pipelines, multi-agent systems and fine-tuned LLM applications using tools such as LangChain and LangGraph. You will embed with client teams, own technical delivery from prototype to production, and demonstrate measurable KPI impact. Key Responsibilities Design and deploy GenAI / LLM applications (RAG, agentic AI, fine-tuning) Lead production deployment on AWS, Azure or GCP Build scalable backend systems in Python (JavaScript a plus) Manage infrastructure using Kubernetes, Docker, Terraform Own end-to-end technical delivery across multiple client deployments Conduct debugging, optimisation and root cause analysis Communicate complex AI concepts to technical and non-technical stakeholders Requirements Strong experience building and deploying LLM / Generative AI solutions Hands-on with LangChain, RAG, multi-agent systems Cloud ML deployment experience (AWS, Azure or GCP) DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps Customer-facing technical delivery experience Background in Machine Learning, Data Science or AI Engineering This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping and owning delivery in fast-moving environments. Apply now to work at the forefront of enterprise AI deployment and agentic systems.

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.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role Capgemini Invent is the digital innovation, design and transformation arm of the Capgemini Group that helps CXOs envision and shape the future of their organisations. Within Invent, the Enterprise Data Analytics (EDA) team specialises in delivering analytical solutions and advisory services that help major private and public sector clients unlock value using data and artificial intelligence. As a Managing Consultant - Asset Analytics within EDA, your work will involve proposing and developing analytical and AI-enabled solutions that result into actionable insights to improve performance, reliability, cost efficiency, and risk management. You will collaborate with engineering, operations, and business teams to translate strategic objectives into validated solutions that support both day-to-day decision-making and long-term planning in asset-, infrastructure-, and process-heavy industries such as Aerospace & Defence, Manufacturing, Energy or Transport. This role involves working closely with clients and internal stakeholders to translate complex process and operational challenges into robust solutions that drive measurable impact. As a valued Managing Consultant in our Operational Analytics team, you will be involved in creating compelling offers and propositions, building capability and delivering projects on client side against the following areas: Lead a project workstream or a small project, ensuring delivery quality and alignment with client objectives. Work directly with clients to providing industry-leading advice and solutions, leveraging the latest Generative AI and Agentic AI technologies to drive real transformational change Translate technical outputs into clear business insights, supporting proposals and client presentations. Engage with client stakeholders to gather requirements and communicate progress effectively. Contribute to business development, including drafting proposals and identifying opportunities for value creation. Support internal capability building, through mentoring, developing reusable frameworks, and sharing best practices. Your ideas matter. We're looking for dynamic individuals with the vision and energy to drive meaningful change for our clients and within our organisation. In addition to your client-side role, you will take ownership of projects in the following areas: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development. Learning & development - Build team capability by offering development opportunities that strengthen professional growth and prepare the team for future skill demands. Training to support your career development and meet evolving skill demands within the company. Your Profile You should have a skillset that combines rigorous thinking, creativity, and thoughtful leadership. Below are some of the key skills and experiences we look for. We don't expect every candidate to meet all of these criteria - we're building a diverse team with a broad range of strengths, backgrounds, and experiences. We look for individuals who bring experience in some of the following areas: Multi paradigm simulation (discrete event simulation, agent-based simulation, system dynamics) for complex systems. V&V including parameter tuning, sensitivity, and uncertainty checks. Scenario testing for bottlenecks, capacity, resilience, and policy impacts. Digital twins using live data, telemetry, and event streams for forecasting. Operationalising models with versioning, reproducibility, and governance. ILP/MIP formulation, decomposition, and solver-based optimisation. Scheduling and resource allocation across workforce, maintenance, and logistics. Robust/stochastic optimisation with scenario generation and risk aware decisions. Network and flow optimisation for supply chain, routing, and capacity planning. Leveraging AI methods to inform optimisation heuristics, demand forecasts, and dynamic decision support Machine Learning, Data Science & Applied AI Anomaly detection using statistical, ML, and hybrid methods for fault and quality monitoring. RUL estimation and predictive maintenance via survival, failure time, and degradation models. Time series forecasting and causal analysis for demand, load, reliability, and performance. Developing and applying AI models to support predictive insights, automation opportunities, and operational decision making. We're seeking candidates who demonstrate the following skills and experience: Bachelor's or Master's degree in Engineering, Operations Research, Computer Science, Applied Mathematics, or a related field. Hands on experience with simulation modelling techniques (discrete event simulation, agent-based simulation, system dynamics) and translating operational systems into models. Strong programming proficiency in Python (or similar languages) for data manipulation, automation, integration and working with AI/ML libraries. Demonstrated proficiency in at least one of the following: Machine Learning, Data Science and applied AI techniques Solid grasp of statistical analysis, experimental design, and data visualisation. Experience applying AI or advanced analytics in operational or asset intensive environments. Ability to communicate complex technical concepts clearly to non-technical stakeholders. Hold SC or be SC eligible (Security Clearance). What You'll Love About Working Here We're here to help you build a fulfilling and sustainable career. That's why we invest in: Hybrid working options and a culture that values work-life integration. Structured career progression, leadership programs and hands on mentorship to ensure you become a better consultant on your own terms. A team oriented environment where collaboration is valued above competition and where success is shared. Training to keep our people at the forefront of data innovation. Need To Know At Capgemini we don't just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. When you join Capgemini, you don't just start a new job. You become part of something bigger. Learn about how the recruitment process works - how to apply, where to follow your application, and next steps. To help you bring out the best of yourself during the interview process, we've got some great interview tips to share before the big day.

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.