123 jobs found

Overview Machine Learning Research Engineer - NLP / LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge - 3 days in office / 2 days remote Salary: Highly competitive salary + comprehensive benefits Requirements You will have a Ph.D from a world-leading University in a Computer Science, Physics, Maths or similar (we are very keen to hear from those with a Ph.D. directly related to NLP) Experience weighted more towards classic machine learning than AI Engineering Strong knowledge in LLMs, NLP and Machine Learning / AI Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn Data Science experience including working with large data sets Responsibilities Join a team responsible for investigating the latest research in machine learning algorithms - largely within the NLP field along with some computer vision Make suggestions based on the feasibility of research to help shape future projects and products Prototyping research concepts Determining output quality, efficiency, and feasibility compared with other techniques What this offers Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates Highly interesting work researching the next phases of cutting-edge, machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We're committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job-board, full details for contact are available on our website). RedTech Recruitment Ltd focus on finding roles for people leaving academia entering industry. Even if the above role isn't of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Company RedTech Recruitment Educational level Educational level: Senior (5+ years of experience) Level of experience (years) Senior (5+ years of experience)

At Visa, we are passionate about making a difference. We lead the way in disrupting fraud from multiple vectors. In this role you will be joining an exciting, innovative business new to the Visa family. At Featurespace, we are the world leader in Enterprise Financial Crime prevention, using cutting-edge machine learning technology to fight fraud and money laundering. As the inventors of Adaptive Behavioral Analytics and creators of the ARIC platform, we are trusted by customers across 180+ countries. As a Senior Software Engineer, you will help shape the future of our SaaS platform, playing a key role in delivering next-generation fraud prevention solutions at scale. The Opportunity As a Senior Software Engineer at Featurespace, you will play a pivotal role in designing, building, and scaling our global, multi-tenant SaaS platform. This hands-on role offers the chance to make a significant impact by leveraging cutting-edge technologies to combat financial crime and deliver innovative solutions to customers worldwide. If you thrive in a collaborative, innovative, and fast-paced environment, this is your chance to lead, mentor, and shape the future of our platform while delivering high-impact solutions in a startup-style environment. In this role, you will: Lead the design and development of services and infrastructure for our SaaS platform, utilizing technologies like Java, Python, Rust and AWS. Own and drive complex technical projects, guiding the team through architectural discussions and implementation to ensure scalability, maintainability, and performance. Collaborate across teams with engineers, product managers, designers, and data scientists to design and build end to end features that solve real customer problems. Partner with internal stakeholders to gather and refine product requirements, aligning them with technical strategies to enhance our platform's capabilities. Optimize cloud infrastructure and managed services, ensuring our systems are secure, performant, and scalable as our customer base continues to grow globally. Mentor junior engineers, foster best practices in code quality, automated testing, and architecture decisions across the team. Troubleshoot and resolve performance bottlenecks in our multi tenant architecture, ensuring uptime and reliability across the tech stack. Take operational responsibility for the services owned by your team, including participation in on call rotations to ensure the health of production services. Why Join Us? Be part of a growing, passionate team that's leading the fight against financial crime with innovative technology. Work on impactful projects that shape the future of fraud prevention and AML solutions. Collaborate with a talented group of engineers in a fast paced, learning focused environment. This is a hybrid position. There is an expectation of at least 3 days in the office per week. Basic Qualifications Work experience with a Bachelor's Degree or an Advanced Degree (e.g., Masters, MBA, JD, MD, or PhD) Required experience: Proven experience as a Software Engineer or Senior Software Engineer, ideally within a high scale SaaS environment. Proficiency programming in Java or Python. Strong understanding of systems design, data structures, and algorithms for building distributed systems. Ability to lead technical projects, mentor team members, and influence architectural decisions. A commitment to automated testing practices and ensuring the reliability of systems. Strong skills in troubleshooting and optimizing performance in large, distributed systems. Great to have: Experience working in fraud prevention or financial technology domains. Familiarity with relational and NoSQL databases in production environments (e.g., PostgreSQL, DynamoDB). Experience with large scale data processing, storage technologies, and RESTful API design. Hands on experience with AWS services such as Lambda, ECS, S3, RDS. Familiarity with Kubernetes. Knowledge of message queueing systems and event driven architectures. Experience with CI/CD pipelines, source control, and modern development environments. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

A leading financial technology firm in Greater London is seeking a Senior Software Engineer to lead the design and development of its SaaS platform. In this pivotal role, you'll drive technical projects, mentor junior engineers, and optimize cloud infrastructure to prevent financial crime. Ideal candidates will have substantial experience in Java and Python, along with a Bachelor's or Advanced Degree. Enjoy a hybrid working environment with at least three days in the office each week.

Im reaching out regarding an urgent contract opportunity for a Senior Snowflake (SVOW) Designer based in London (3 days/week onsite) . Contract Details: Duration: 46 months (extendable) Start: Immediate joiners preferred Location: London (3 days/week) Key Skills Required: Strong hands-on experience with Snowflake and DBT (must be able to articulate use cases delivered) Python for data engineering and orch click apply for full job details

End Date Friday 27 February 2026 Salary Range £89,739 - £99,710 Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: Data Science Manager SALARY: £89,739 - £99,710 LOCATION(S): London & Bristol HOURS: Full time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. About this opportunity At Lloyds Banking Group, we have a clear purpose; to help Britain prosper and to become the best Financial Services provider for our customers. Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We're growing with purpose. We're looking for someone to join as a Data Science Manager within our innovative, collaborative and highly-skilled AI, Data & Engineering team in Group Audit (GA). At GA, we see AI as integral to our mission of supporting our purpose and strategy. We have a strategic commitment to harness cutting edge AI and cultivate an AI fluent function. In this role, you will have an opportunity to perform a hands-on and multifaceted role within a skilled and supportive team of data scientists and engineers who are highly visible to senior management, with exposure to the entire Group. You will have a passion for data science and engineering on GCP, strong customer focus, and interest in learning about internal audit. The successful candidate will work across all stages of the data science lifecycle from problem identification to designing and implementing applications that use AI & ML techniques. These will support delivery of our audit plan, provide insights, and drive innovation within Group Audit.You will have the opportunity to: Lead multiple data science and application development projects concurrently with great autonomy. Programming tasks will include designing, implementing, and delivering applications, as well as creating data models and data pipelines in a mixed on premises and Google Cloud Platform environment. Design, build, test, and deploy robust AI/ML and generative AI systems, including cloud native architectures. Ensure solutions are scalable, secure, and production ready within enterprise frameworks. Diagnose complex issues and deliver high quality technical solutions aligned to best practices and standards. Produce specifications, testing approaches, and documentation to support reliable and consistent delivery. Lead other team members and manage stakeholders, acting as a project lead and applying agile project management and software development best practices. Work collaboratively across the audit function to identify innovative opportunities to apply data science techniques for business monitoring, audit planning, and audit delivery. Acquire sufficient levels of auditing and business knowledge, positively impacting the quality of GA's assurance work. Communicate technical concepts in plain, simple language that is easy for non technical stakeholders to understand. Answer queries and provide support to end users for existing utilities. Why Lloyds Banking Group If you think all banks are the same, you'd be wrong. We're an innovative, fast-changing business that's shaping finance as a force for good. A bank that's empowering its people to innovate, explore possibilities and grow with purpose. What you'll need Experience leading application development and data science projects, involving techniques such as generative AI, machine learning and natural language processing. Experience designing and implementing infrastructure on Google Cloud Platform. The ability to productionise data and AI models for non-technical users while applying best practices in software development and ensuring that key data science, engineering, and programming concepts are applied. Proven ability to translate data science and AI capabilities into measurable business value. Experience at managing peers or more junior colleagues on projects, holding colleagues accountable, ensuring the quality and timeliness of the project delivery, and fostering a culture of collaboration and continuous improvement. Managing stakeholders, communicating in a way that a lay audience can understand. Supporting colleague development with training, coaching and feedback as appropriate to upskill the team and the wider function. Proficient with mainstream data science programming languages, such as Python, and the use of data analytics tools such as SQL and PowerBI. Reviewing complex code and familiarity with version control. Experience in web application development (Django, Bootstrap, jQuery) is desirable. Previous financial services, audit or risk experience is an advantage. About working for us Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we're committed to creating an environment in which everyone can thrive, learn and develop.We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policiesIf you're excited by the thought of becoming part of our team, get in touch! We'd love to hear from you! At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers.Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.

About the roleWe are looking for an experienced Senior Marketing Scientist to run marketing and growth analytics in our rapidly evolving multi-product app. As Lendable scales its products across lending, engagement features and other financial services, the complexity and volume of data-driven decisions have grown exponentially. This role is central to unlocking insights that will shape our drive acquisition efficiency and fuel product innovation, overseeing the full breadth of digital and non-digital channels across multiple products.You will be the senior analytical voice across our Zable direct marketing initiatives - owning end-to-end marketing funnel data, capture requirements, insight generation, experimentation strategy, and advanced analytics projects. Beyond individual contribution, you will instill best practices and be a key thought partner to product, growth, and engineering leaders. What You'll Do Impact & Analytical Leadership Analyse marketing campaign performance across multiple channels and conduct analyses to identify trends and opportunities for optimisation Structure and execute high-impact analyses in acquisition funnels to inform marketing spend and product evolution Drive experimentation rigor: design, implement, and analyze A/B tests, multivariate experiments, and cohort studies Co-operate with product and credit teams to ensure mid to deep funnel performance is improved. Data Product Involvement Influence data architecture by contributing to schema design that enable more insights Build high quality, scalable pipelines and transformations that increase interpretability of data and increase the teams' agility Cross-Functional Partnership Serve as a thought partner to Product Managers and Credit Managers - ensuring analytical insight drives roadmap prioritisation and credit assessments. Collaborate with the creative and design team to deepen insights at the creative and campaign level to enhance prioritisation of their ideas. What We're Looking For Core Qualifications 3+ years of experience in data analytics, ideally within a product-led or high-growth tech environment Deep expertise in analytical methods including funnel optimisation, segmentation, cohort analysis, LTV modelling, and regression techniques. High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R). Hands-on experience with DBT and familiarity with data modelling best practices Skilled in experimentation frameworks (A/B testing, hypothesis testing, causal inference). Demonstrated ability to turn ambiguous problems into structured, hypothesis-driven, data-supported insights. Excellent communication skills with experience influencing cross-functional stakeholders and product leaders. Nice to Have Experience in credit marketing (credit cards, loans, car finance etc.) Experience with paid media platforms (Google Ads, Meta, Tiktok etc.) and working with marketing teams Experience building or contributing to Marketing Mix Models or incrementality testing frameworks. Familiarity with data instrumentation and schema design in product development cyclesInterview process: Screening call Take home task and cognitive tests Case study Final Interview The opportunity to scale up one of the world's most successful fintech companies Best-in-class compensation, including equity You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday We care for our Lendies' well-being both physically and mentally, so we offer coverage when it comes to private health insurance We're an equal opportunity employer and are keen to make Lendable the most inclusive and open workspace in London

A leading biotechnology company seeks an experienced Bioinformatics Scientist to develop and support bioinformatics pipelines and tools. The ideal candidate will have a PhD in a relevant field and at least 3 years of Python development experience. Responsibilities include mentoring junior members and driving project management. This role offers an exciting opportunity to contribute to innovative research in gene editing and modulation. Candidates should be comfortable working in a collaborative Agile environment.

A leading financial services firm in Greater London is seeking Research Engineers to design and optimize their electronic trading platform. Candidates should have a strong passion for technology, programming skills in C++ and Python, and a background in Computer Science or Mathematics. This role offers the opportunity to work on high-performance trading systems in a dynamic environment, allowing real ownership of development projects.

Job Description Job Role: Data Science Manager Location: London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team We've been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of client's teams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data - e.g., Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries - e.g., Fastai, Keras, Tensorflow, pytorch, sci kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies - e.g., AWS, GCP or Azure Specialized visualisation techniques - e.g., D3.js, ggplot, etc. Strong verbal/written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .

GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.

We are a dynamic consulting firm focused on delivering sustainable change. We help our clients succeed in their long-term goals by turning strategy into action through exceptional delivery and establishing a culture of change. As a transformation consultancy, we work with clients to improve the way they operate, deliver services, and empower their people. We get out of the theory and into the detail - working directly with client teams to deliver meaningful, measurable impact. Our people are our greatest asset and core to why clients choose to work with us. We pride ourselves on being proactive, collaborative and straightforward team players, with a focus on being successful together. We move fast as a team, and honesty and integrity sit at the heart of how we operate. You will be part of a supportive and high performing community that looks after one another, has fun, and celebrates success together. You can expect exciting opportunities on varied and stretching projects that will equip you with skills, experience and knowledge to help organisations thrive in a rapidly changing world. We will expect you to contribute to a culture of sustainability and embrace Moorhouse's social responsibility by integrating responsible practices and upholding ethical standards and awareness in everyday work. Moorhouse is currently unable to offer visa sponsorship for this role. Unfortunately, this means we are not able to progress applications from candidates who would require sponsorship now or in the future. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining strong technical expertise with the consulting skills needed to drive real world change. Our team works across the full data and analytics lifecycle, from shaping strategy and enabling data driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web based products that support forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on delivering tangible business outcomes. As demand for digital and AI enabled transformation continues to grow, our Data Science team is continuing to grow and shaping some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? As a Senior Consultant, you will help deliver advanced analytics and digital product solutions, leading defined workstreams and shaping how data science is applied in practice. You will play a key role in both hands on delivery and client engagement. In this role, you will have the opportunity to: Deliver machine learning, forecasting and analytical solutions that support meaningful outcomes. Lead workstreams within broader programmes, ensuring clarity, structure and quality. Design analytical approaches and contribute to architectural decisions. Develop dashboards, apps and tools using PowerBI, KNIME, R or Python based frameworks. Work directly with senior stakeholders, translating analytical insights into practical and actionable recommendations. Support business development through proposals, thought leadership and proposition development. Mentor junior colleagues and contribute to capability growth. Essential skills What are we looking for? We are seeking candidates with 4+ years' experience in data science, advanced data analytics, data engineering, or digital product development. Core Analytics & Engineering Strong experience with Python and SQL; exposure to R is beneficial. Hands on delivery of machine learning models or advanced analytical techniques. Experience designing data pipelines, dashboards, APIs or analytical tools. Experience with Power BI, Tableau, KNIME or Python visualisation frameworks. Familiarity with modern cloud platforms (Azure, AWS, GCP, Snowflake, Databricks). GenAI & LLM Fluency Practical experience using large language models (LLMs) via APIs (e.g. OpenAI, Azure OpenAI, Anthropic). Structured prompt engineering, including templates, guardrails and basic evaluation approaches. Awareness of model limitations, hallucinations, latency and cost trade offs. Infrastructure & Production Mindset Conceptual and light hands on familiarity with cloud infrastructure (Azure/AWS/GCP). Basic experience with Docker or environment management. Comfort moving from notebooks to production ready services, pipelines or batch workflows. Exposure to APIs, simple backends or AI enabled services. Ethics, Governance & Risk Clear understanding of data privacy, GDPR and responsible AI principles. Comfort delivering AI solutions within client governance, security and risk constraints. Ability to explain AI risks and controls clearly to non technical stakeholders. Consulting Skills Strong communication and stakeholder engagement skills. Ability to translate complex analytical and AI concepts in a way that is easy to understand and client friendly. Experience leading structured delivery within consulting or project environments. Confidence balancing technical delivery with commercial and client needs. Bonus Experience Experience building internal AI tools, copilots or assistants. Exposure to LangChain, LlamaIndex or similar orchestration frameworks. Well developed production mindset, with a focus on reliability and maintainability. What we can offer you: A total cash package of up to £80,000 comprising of a base salary of £64,575 and a combination of personal and company bonuses paid every six months. 25 days annual leave, increasing by one day for every full year of service to a maximum of 30, plus the option to buy or sell up to five days per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of lifestyle and wellbeing benefits through Perkbox. A culture free from quotas or forced performance curves, we reward performance consistently and transparently so everyone knows where they stand. Flexible working arrangements, with offices near Liverpool Street, and opportunities to spend time on client site as part of a collaborative team. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally.

SALARY: Competitive and based on experience and qualifications. LOCATION: Manchester or Glasgow THE POSITION TNEI's Connections team works with a variety of clients to provide consultancy services, primarily in the areas of power system analysis and grid connection studies, including load flow; fault level; dynamic G99/Grid Code compliance studies such as fault ride through, voltage control, and frequency response; power quality assessments including G5/5, EREC P28 and P29; insulation coordination studies; SSO Studies and EMT/RMS Model development. We also perform protection, earthing, and arc flash studies. We combine these skills to deliver comprehensive and leading-edge innovative solutions to our clients. The Connections team has a strong existing workload with an extensive client base. We are looking for a full time Senior Consultant to join our team in Manchester or Glasgow. DUTIES AND RESPONSIBILITIES WILL INCLUDE: Delivering projects to a high level of technical competency. Supporting the preparation of tenders, proposals and submissions. Undertaking project management responsibilities including project planning, resourcing, risk management and budgeting. Peer reviewing reports and other deliverables to ensure consistency, accuracy and that they meet clients' expectations. REQUIREMENTS Essential requirements include: A degree in Electrical Engineering (or equivalent) with 5+ years' relevant industry experience. Excellent technical skills and proven experience of carrying out power system analysis, especially transient and dynamic analysis, protection coordination or earthing design studies. Experience in the use of one or more of the following software packages: IPSA, DIgSILENT Power Factory, PSSE, PSCAD, CDEGS, XGS-Lab or SKM. Strong analytical and problem solving skills. Excellent organisational skills and the ability to multitask and prioritise under pressure of deadlines, while working independently. Excellent written and verbal communications with both technical and non technical personnel. Experience of working in a consultancy environment. Capability in DPL, Python, or other modelling languages. Commercial awareness and pro active in seeking out new business opportunities. TNEI TNEI is a specialist, vibrant consulting company that has been at the forefront of providing expert technical advice to electricity network companies, renewable energy developers, regulators and funding institutions all over the world since it was established in 1999. By nurturing the top talent in the energy industry we've built a solid reputation of developing innovative solutions and solving complex problems associated with achieving net zero. We offer a fast paced learning environment with excellent career development opportunities. Join us and become part of the net zero energy revolution. TNEI staff at the heart of the business TNEI is an Employee Ownership Trust meaning that the people who work in the business directly benefit from and influence the direction and future success of the company. TNEI has always been proud of its inventive and collaborative culture. That culture is at the heart of its success and ensures innovative and novel approaches to supporting and helping solve challenges facing our client base. An Employee Ownership Trust embodies this company culture in which we all feel responsible for the business' performance and success. By remaining independent, the company is able to retain its culture and reputation and allow staff to feel even more connected to the company. Find out what it's like to be part of our team and visit 'life at TNEI' on our website's careers page. Why should you apply? Work life balance: 25 days holiday & a day off to celebrate your birthday Flexible working: Hybrid, core hours & annual alternative working location Career growth: Development opportunities & funded professional memberships Financial rewards: Discretionary annual bonus scheme, employee ownership dividend & pension Family friendly: Enhanced family & carers leave People & Community: Cycle to Work, travel loan, discounts platform, socials & charity matching How to apply Please apply using the 'Apply Now' form on the Careers Page on our website, and upload your CV and covering letter, demonstrating why you are suitable for the role and any previous experience. Closing date for applications: Applications will close on or before the 15 Feb 2026 Successful candidates will be invited to interview on receipt of application. Therefore, if you are planning to apply, we recommend that you do so without delay. Equality, diversity and inclusion TNEI promotes equality, diversity and inclusion in a space where all are respected. Please note we do not accept CV's from recruitment agencies.

Selection changes the language of the page/content The Top Design team at the UK GPU Design Centre works on complex, large-scale GPU related projects. We partner with our graphics architecture, functional verification and physical design teams to deliver high quality graphics IP in order to meet performance, feature, timing, area and power goals. Description The GPU top design team develops micro-architecture and RTL for critical top-level infrastructure IP, and drives micro-architectural improvements across the entire GPU through our holistic system-level perspective.We own complete IP blocks including interconnects, control logic, and clocking/reset distribution. Our unique position working across the full GPU scope enables us to identify optimization opportunities that span multiple units which means our micro-architecture work can influence outside of IP that we own when we identify better system-level solutions.We handle the complete design flow for our IP from concept through physical design handoff, while also contributing to GPU-level assembly and integration. Responsibilities Micro-architecture development (for owned IP and system-level improvements) IP design and synthesis (owned blocks) Design clocking and reset distribution, perform CDC/RDC verification Contribute to GPU top-level assembly/integration Debug and analyse top-level design issues Codeline management, supporting multiple products & chips Review RTL implementations and mentor junior engineers Minimum Qualifications Expertise in SystemVerilog/VHDL and proficiency in revision control systems Strong problem-solving skills, ability to work across team boundaries and be productive under aggressive schedules Preferred Qualifications Understanding of computer architecture and physical design Experience with large-scale SoC or GPU design Experience of scripting languages (for example Python/Ruby/Tcl) At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award-winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ We're here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque. We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, tests the app and gives us constant feedback so we can build something everyone loves. We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo. About our Payments Team Our Payments Data team consists of over 15 people across 3 data disciplines: Analytics Engineering, Data Analytics, and Data Science. Our Payments Collective exists to provide a platform for teams to launch banking products with confidence. We help to make Monzo's global ambitions a reality, enabling revenue and customer growth with a resilient, self-serve banking platform. What you'll be working on You'll work closely with the Product and Engineering teams in an agile product environment. You'll champion the use of data, bring ideas to life through a rigorous analytical approach. Your work will focus on enabling revenue and customer growth. You will manage a team of Data Scientists and Data Analysts, working together with Analytics Engineers to drive product innovation and you'll get to see the impact of all your work in the product changes we make. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data folk the head space to focus on more impactful business questions and analyses. Be a key leader in building a discipline of exceptional Data Scientists and Analysts working on making Monzo world class at Payments products and experience Help hire, develop and retain talented Data people Collaborate closely with senior leaders across Monzo to deliver products for our customers Bring data leadership and rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life Define the long term strategy of the team and create comprehensive roadmaps for all the projects within your team Generate insights that can change the direction of our Payments strategy Work and advise on Payments's global expansion strategy Liaise with Product and Engineering managers to make sure we collect the right data to produce relevant business insights Our Data team's mission is to Enable Monzo to Make Better Decisions, Faster. At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. We optimise for simplicity and re-usability - all our data lives in one place and is made available via our data warehouse in Google BigQuery. We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all of them) Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science Go to write our application code AWS for most of our backend infrastructure You should apply if What we're doing here at Monzo excites you! You have experience of managing a team of Data Scientists You are a strong strategic data leader and are passionate about using data to improve and inform business decisions You have strong experience working with executive or C-level peers and managing stakeholders across levels of seniority and disciplines You know what it takes to manage top tier Data talent You're excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business You have strong product knowledge and have built data products previously You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same Experience in Payments is a plus, but not required. The Interview Process 30 minute recruiter call 45 minute initial call 3 x 1 hour video calls, including a technical case study What's in it for you ️ We can help you relocate to the UK We can sponsor visas This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more - see our full list of benefits here. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

Summary As Senior Principal Embedded Software Engineer, you'll provide strategic technical leadership, define and oversee embedded software architecture, and set high standards for software engineering excellence across EnSilica's diverse projects. You'll collaborate closely with senior management, internal stakeholders (ASIC, hardware, systems, QA), and customers to ensure technical solutions align closely with business objectives, and actively shape project direction, execution, and strategic outcomes. Your Key Responsibilities Strategic Technical Leadership: Define and lead embedded software architectures and complex development activities for advanced embedded systems on ARM, RISC-V, and FPGA/ASIC platforms. Stakeholder Collaboration: Partner closely with senior leadership, project management, customers, and cross-functional teams to ensure software strategies meet overall product and company goals. Mentorship and Team Development: Provide technical guidance, mentorship, and professional growth for software engineering teams, ensuring continuous improvement in software quality and best practices. Requirement & Project Leadership: Drive requirements capture, analysis, and refinement; actively contribute to project management, estimation, scheduling, risk assessment, and resource allocation. Quality and Compliance Oversight: Champion adherence to industry standards, quality assurance processes (ISO9001), and continuous improvement initiatives within the software lifecycle. Technical Representation: Act as the software lead in customer interactions, technical reviews, and pre-sales activities (RFQs, proposals), effectively communicating complex technical solutions clearly to diverse stakeholders. Key Skills and Experience Essential Proven track record (15+ years industry experience, 7+ years technical leadership) of delivering complex embedded software solutions at system and architectural level. Expert-level embedded C/C++ programming on ARM and/or RISC-V architectures, including advanced debugging (trace/debug, MPSoC bring-up, system validation). Demonstrated ability in software/hardware co-design, silicon validation, and deep technical problem-solving in real-time embedded systems (bare-metal, RTOS, Linux). Extensive experience with modern embedded software toolchains, build systems (CMake, GNU Make, SCons), and version control (Git, SVN). Strong familiarity with digital signal processing, wireless protocol stacks, and embedded communication protocols. Desirable Expertise with requirements and project management tools (Polarion, Jira, Microsoft Project). Proficiency in Python, MATLAB, or GNU Octave for system modelling, prototyping, and validation. Knowledge of automotive functional safety standards and secure architectures (ISO 26262, ASIL levels, Arm TrustZone, PSA certification). Familiarity with advanced communications algorithms (beamforming, DPD), and industry standards (3GPP, DVB-S). Experience with formal software methodologies (IEC 61508, DO-178C). Understanding of ASIC/FPGA design flows, SystemVerilog, and related EDA tools (Xilinx, Cadence). Personal Skills Visionary technical leader with a strategic mindset capable of aligning technical solutions to business objectives. Exceptional communicator, adept at managing relationships and clearly articulating complex technical concepts to stakeholders and senior management. Strong mentor, fostering a culture of excellence, ownership, and continuous improvement. Highly adaptable, proactive, and decisive, thriving in dynamic, multi-disciplinary environments. Position Specifics This role is hybrid at our Milton Park office (our guideline is for 3 days in the office). Some occasional travel may be required to another UK site. Applicants must have the right to live and work in UK.

Overview About Profitero+ Profitero is a leading global SaaS commerce platform that uses predictive intelligence to help brands anticipate, activate and automate their next best action to fuel profitable growth. Our technology monitors 80+ million products daily, across 1200+ retailers and 70+ countries, helping brands optimise search placement, product content, pricing, stock availability, reviews and more. News outlets, including Good Morning America, The Wall Street Journal and Ad Age frequently cite and trust Profitero as a source of data for their stories. Now's an exciting time to join our fast-growth business. Profitero+ joined Publicis Groupe (a $13 billion global marketing services and technology company) as a standalone commerce division, infusing our business with significant product development resources and investment, while giving our employees an incredible launchpad for their careers. Profitero's tech and data combined with Publicis tech, data and activation services positions us to be a true end-to-end partner for helping brands maximise eCommerce market share and profits. Come be a part of our fast-paced, entrepreneurial culture and next stage of growth. Location: London/Reading Role Overview We are seeking a highly skilled and motivated Senior AI Agent Engineer with a strong background in building agentic AI applications and workflows. The ideal candidate will have proven expertise in utilizing Large Language Models (LLMs) such as Claude, OpenAI's GPT series, Google Gemini, and other similar technologies to design, develop, and deploy intelligent systems that can reason, act, and learn. Experience with frameworks like Crew AI, OpenAI Agent SDK, or Langgraph tool set for orchestrating multi-agent systems is highly valued. You will be a key player in our AI team, responsible for driving the technical architecture and implementation of our next-generation AI products, taking AI/LLM models from prototype to production to power Profitero+ products and internal tools. Key Responsibilities Design, develop, and deploy LLM-based systems, agentic applications and complex AI workflows using generative AI models (Claude, OpenAI, Gemini, etc.) and relevant frameworks (e.g., LangChain, LangGraph, Crew AI, or similar). Deploy, operate, and iterate on AI systems in production environments, including performance tuning and cost optimization. Design and build Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, and semantic search. Build and optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems. Integrate various tools, APIs, and data sources, potentially utilizing MCP Servers, to enhance model context and tool integration. Develop robust, scalable, and maintainable code in Python for all components of the agentic applications, from backend logic to API integrations. Implement testing, evaluation and monitoring strategies for agentic systems to ensure performance, reliability, and safety, and effective reasoning, tool usage, and failure handling. Collaborate closely with product managers, designers, and other engineers to translate requirements into technical solutions. Stay up-to-date with the latest research and developments in generative AI, LLMs, agentic systems, and protocols like MCP, evaluating their potential for our products. Contribute to the architecture and technical roadmap of our AI initiatives. Mentor junior engineers and share knowledge within the team. Required Qualifications and Experience Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. Minimum of 3 years of professional experience in software development, with a significant focus on AI/ML applications. Proven proficiency in Python and experience with relevant AI/ML libraries and frameworks. Hands-on experience in developing applications utilizing Large Language Models (LLMs) such as Claude, OpenAI (GPT-4, etc.), Google Gemini, or other prominent generative AI models. Experience in building agentic applications or workflows, demonstrating an understanding of concepts like planning, memory, tool usage, and multi-agent systems. Familiarity with AI workflow orchestration and agentic frameworks (e.g., LangChain, LangGraph, Crew AI, Haystack, or similar). Practical experience with RAG architectures, embeddings, vector databases, and semantic search. Experience working with Model Context Protocol (MCP) Servers. Experience with RESTful APIs and integrating external services. Solid understanding of software development best practices, including version control (Git), testing, and CI/CD. Experience with Snowflake is a plus. Excellent problem-solving skills and the ability to work independently and as part of a collaborative team. Strong communication skills, both written and verbal. The above lists are not exhaustive and the job holder is required to undertake such duties as may reasonably be requested within the scope of the post. Why you want to work at Profitero We want our employees to have an opportunity to share in the success that results from our dedication to service excellence, high-quality deliverables and an unparalleled client experience. We hire only the best and provide the compensation, bonus and benefit programs appropriate for proven top-performing professionals. We want our employees to have an opportunity to share in the financial success that results from our dedication to service excellence, high-quality deliverables and an unparalleled client experience. Our package include; competitive base salary; attractive bonus; employee healthcare; life assurance; group income protection; dental care plan; eye care scheme; 24 hour on-line GP; company pension; cycle to work scheme; 25 days off + bank holidays + birthdays off; reduced gym membership; social events; employee referral scheme; personal development plans; Profitero Hero scheme; flexible working hours. Profitero is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive fair consideration for employment. Profitero recruits, employs, trains, compensates and promotes regardless of race, religion, colour, national origin, sex, disability, age, veteran status, and other protected characteristics as required by applicable law. Be part of a company on forefront of eCommerce revolution where you will learn a lot and be a catalyst to turbo-charging your skills, experience and career

A technology firm in Leeds is seeking a talented engineer to join their team developing innovative solutions using Graph Stream Processors. The ideal candidate has 5-7 years of software development experience, strong proficiency in Python, and a deep understanding of AI/ML frameworks. Responsibilities include designing software systems for AI/ML operations, maintaining CI/CD pipelines, and creating proof-of-concept projects. A background in embedded systems and knowledge of DevOps principles is preferred.