1444 jobs found

Substrate seeks functional genomics scientists to develop, validate, and operate screening workflows at the bench, from manual steps to automated execution on workcells. You will design, run, and optimize cell-based screens integral to foundation-model-enabled pipelines. You will work with automation and software teams, author SOPs, and help transition processes to autonomous operation while maintaining strict reproducibility and data integrity.

Clinical Biomarker Lead, Senior ScientistApplylocations: Paris: Londontime type: Full timeposted on: Posted Todayjob requisition id: R-21893 Title: Clinical Biomarker Lead, Senior Scientist Company: Ipsen Innovation (SAS) About Ipsen: Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation. Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries. We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company's success. Join us on our journey towards sustainable growth, creating real impact on patients and society!For more information, visit us at and follow our latest news on LinkedIn and Instagram . Job Description: Job Title: Clinical Biomarker Lead, Senior Scientist Division / Function: Early Development, Translational Sciences Location: London or Paris WHAT - Summary & Purpose of the Position To develop and lead clinical biomarker strategies that enable data-driven decision-making across clinical development and maximize the value of Ipsen's oncology and rare disease portfolio. The Biomarker Lead serves as a strategic partner to cross-functional development teams, ensuring biomarker approaches are scientifically robust, aligned with program objectives, and support critical development milestones.The position provides biomarker leadership from early clinical development through registration, defining data-generation strategies that inform patient selection, mechanism of action, clinical benefit, and regulatory decision-making. The role contributes expertise in biomarker development, validation and implementation while fostering innovative approaches that strengthen Ipsen's biomarker capabilities across therapeutic area s. WHAT - Main Responsibilities & Technical Competencies Develop and lead clinical biomarker strategies across Ipsen's oncology and rare disease portfolio to support critical development and portfolio decisions. Define biomarker plans to support target engagement, pharmacodynamic and mechanistic understanding, patient stratification, and support efficacy assessment across clinical development. Provide strategic leadership for biomarker data generation from early clinical development through late-stage and registration-enabling studies, as appropriate. Select and apply the most appropriate biomarker technologies and analytical approaches to address program objectives, including cellular, tissue-based, genomic, transcriptomic, proteomic, and emerging platform technologies. Drive implementation of biomarker strategies within clinical studies, including development of protocols, schedules of activities, laboratory manuals, biomarker analysis plans, and study-related documentation. Provide scientific oversight of biomarker assay development, fit-for-purpose validation, and analytical performance assessments to ensure data quality and fitness for intended use. Collaborate with Clinical Development, Translational Pharmacology, Companion Diagnostics, Clinical Pharmacology, Biostatistics, Clinical Operations, Regulatory Affairs, and external partners to ensure successful execution and interpretation of biomarker activities. Lead the selection, oversight, and performance management of external laboratories, CROs, and other vendors supporting biomarker development and analysis. Contribute to biomarker components of statistical analysis plans and integrate biomarker findings into study interpretation and development strategy. Author, review, and contribute to biomarker sections of protocols, study reports, regulatory submissions, briefing documents, and health authority responses. Represent Biomarkers on cross-functional project teams and governance forums, effectively communicating biomarker strategies, risks, opportunities, and key findings. Manage biomarker budgets, contracts, timelines, and outsourcing activities in accordance with Ipsen processes and standards. Maintain current knowledge of emerging biomarker science, diagnostic technologies, and global regulatory expectations relevant to biomarker and precision medicine development. Ensure compliance with applicable regulations, industry standards, Good Clinical Practice (GCP), Good Laboratory Practice (GLP), and Ipsen SOPs. HOW - Behavioural Competencies Required Communicates Effectively - Translates complex scientific concepts into clear, impactful messages tailored to diverse audiences, from technical experts to senior leaders and non-scientific stakeholders. Influences - Builds alignment and gains commitment across cross-functional teams and external partners to advance biomarker strategies and achieve program objectives. Manage Complexity - Evaluates scientific opportunities and competing priorities critically, focusing efforts on biomarker approaches that generate meaningful evidence and support decision-making. Adaptability - Remains effective and resilient in a rapidly changing environment, adjusting priorities and approaches in response to evolving program and portfolio needs. Collaborates - Builds productive relationships across functions, fosters an inclusive and supportive team environment, and leverages diverse expertise to achieve shared goals. HOW - Knowledge & Experience Knowledge & Experience (essential): Experience supporting biomarker activities across clinical development, including design and implementation of biomarker plans within clinical studies. Strong understanding of translational science and the role of biomarkers in informing target engagement, pharmacodynamic activity, mechanism of action, patient stratification, efficacy, and safety. Experience applying a range of biomarker technologies and platforms, including tissue-based, cellular, genomic, transcriptomic and proteomic approaches. Knowledge of biomarker assay development, fit-for-purpose validation, analytical performance assessment, and data quality requirements for clinical studies. Strong scientific problem-solving skills, with the ability to critically evaluate opportunities, risks, and evidence to support practical, decision-focused biomarker strategies. Excellent written, verbal, and presentation skills, with the ability to communicate complex scientific concepts effectively to both technical and non-technical audiences. Experience in oncology and/or rare disease drug development is strongly preferred.Knowledge & Experience (preferred): Demonstrated experience developing and executing biomarker strategies in pharmaceutical or biotechnology drug development, with responsibility for influencing key development decisions. Experience integrating biomarker data into clinical development strategies and communicating biomarker insights to multidisciplinary teams and senior stakeholders. Experience working within cross-functional matrix teams and collaborating effectively with Clinical Development, Clinical Operations, Biostatistics, Regulatory Affairs, Translational Medicine and external partners. Working knowledge of drug development, clinical trial design, and applicable GxP requirements relevant to biomarker implementation. Experience selecting and managing CROs, external laboratories, and other scientific partners to deliver high-quality biomarker data. Experience supporting late-stage or registration-enabling clinical development programs is preferred. Experience contributing to regulatory submissions, health authority interactions, or biomarker-related regulatory documentation is preferred.Education / Certifications (essential): PhD in Immunology, Oncology, Life Sciences, or a related scientific discipline. Equivalent combinations of education, scientific training, and relevant industry experience may be considered.Education / Certifications (preferred): PhD and post-doctoral studies in Immunology or OncologyLanguage(s) (essential): English: Business level, oral and writtenLanguage(s) (preferred): French: Business level, oral and written

AVEVA is creating software trusted by over 90% of leading industrial companies. Position: Principal Research Scientist - Frontier Industrial AI Location: Cambridge/ London, UK, All EMEA, (hybrid) Organization: AVEVA CT AI Research Role type: Individual contributor The role AVEVA's frontier AI research team, as part of the Chief Technologist Organization, focuses on developing the next generation of industrial intelligence. We are looking for exceptional researchers who combine original thinking with the ability to turn ambitious ideas into working systems. You will define and pursue high-impact research questions, build experimental prototypes, publish influential work, and create defensible intellectual property. Research may span industrial foundation models for time-series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation. This is a hands on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways to move difficult initiatives forward. What you will do Define and lead ambitious research initiatives in frontier industrial AI. Develop new models, algorithms, evaluation methods, and system architectures. Build high-quality experimental systems and validated research prototypes. Publish at leading AI and machine learning venues and contribute to AVEVA's patent and IP portfolio. Create benchmarks, datasets, and evaluation frameworks for industrial AI. Partner with leading AI labs, universities, and technology organizations. Take research from initial hypothesis through prototype and validation. Help shape AVEVA's longer term AI research direction and technical strategy. What we are looking for A PhD or equivalent research experience in machine learning, artificial intelligence, computer science, applied mathematics, engineering, or a related field. Evidence of original research through strong publications, patents, open-source work, prototypes, or other meaningful technical contributions. Strong hands on ability in AI experimentation and software development. Ability to independently identify important problems, formulate research hypotheses, and execute projects with limited structure. Deep expertise in one or more areas such as foundation models, multimodal learning, time series modeling, generative models, reinforcement learning, agentic systems, simulation, world models, representation learning, or AI evaluation. Strong scientific judgment and the ability to design rigorous experiments and communicate results clearly. High agency, intellectual curiosity, and a constructive problem solving mindset. Ability to collaborate across research, engineering, product, and teams. Preferred qualifications Experience working with industrial, manufacturing, energy, infrastructure, engineering, or scientific data. Recent publications at leading machine learning, AI, data mining, robotics, or systems venues. Experience developing models at scale or building complex research systems. Experience with simulation environments, digital twins, multimodal data, or industrial time series. A track record of initiating and advancing research projects with limited supervision. Exceptional recent PhD graduates with a strong research record are encouraged to apply. UK Benefits include: Flexible benefits fund emergency leave days adoption leave 28 days annual leave (plus bank holidays) pension life cover private medical insurance parental leave education assistance program It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: Hybrid working We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on site 50% of your working hours to support collaboration and connection. Some positions are fully office based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: Find out more: AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case by case basis. Empowering you with pioneering tech AVEVA is a global leader in industrial software. Our cutting edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably. We're the first software business in the world to have our sustainability targets validated by the SBTi, and we've been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We've also recently been named as one of the world's most innovative companies. If you're a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers. For more information about our privacy policy and how to manage cookies, visit our Privacy Policy.

AVEVA is seeking a Principal Research Scientist to drive frontier industrial AI across a hybrid Cambridge/London setting. You will define ambitious research questions, build experimental prototypes, and publish work while extending AVEVA's IP portfolio. The role requires autonomy, deep ML expertise, and a track record of moving ideas into working systems. You will collaborate with universities and labs, shape long-term AI strategy, and contribute to industrial data foundations and evaluation.

Overview We have a great opportunity for a dynamic and motivated Senior or Principal Peat Scientist (depending on experience) to join our Environment Practice in the UK to support with current projects, drive technical delivery and develop business across our growth markets. We are flexible on location, but ideally you will be based in Scotland. We are seeking an individual with a strong technical background and practical experience in the assessment and management of peatland to support existing projects and to the development of our peatland management services. You will be an important part of an innovative and technically excellent multi-disciplinary team helping to deliver bespoke soil and peat management strategies for major infrastructure projects across the UK and globally, as well as supporting on projects relating to natural capital and nature-based solutions. As a member of our team, you will be involved in a range of office and field-based work, engaging with our experienced staff to deliver excellence to our clients, and will work closely with a wide range of other professionals to deliver holistic solutions to environmental and engineering problems. The Sustainable Soils and Resource Management (SLRM) team is a well-established, award winning, multi-disciplinary, environmental and engineering practice with an extensive portfolio of regeneration and development projects and a highly skilled team winning numerous industry awards over the years. Due increasing project demands, we are growing our peat, soil and agricultural land quality service lines, and the successful candidate will work on a number of large projects across a range of exciting markets, including the development of Cities, Transportation, Water, Defence and Energy infrastructure. Your role Lead on the technical delivery of peat surveys and development of sustainable management strategies. Support and lead on client work development, preparation of proposals and input into bids for multi-disciplinary infrastructure projects. Liaison with clients, stakeholders, regulators, sub-contractors and other internal disciplines. Work effectively as part of a team and with other professionals (environmental scientists, engineers, planners) to provide a consistent and integrated service to our clients. Maintain excellent professional relationships which will lead to and secure repeat business. Compliance with Health and Safety policies and procedures, including preparing and reviewing health and safety plans and managing health and safety on site. Provide technical guidance, constructive support and mentoring to junior staff and supporting their technical development. Developing own competence and maintain CPD necessary to fulfil the responsibilities of the role, with support from the business on own training and development needs. About you Degree qualified in a relevant science subject (e.g. peat or soil science, geology, geography or environmental science). Relevant years of post-graduate experience. Full or Chartered Membership of relevant professional body. If not Chartered, we would expect the candidate, with our support, to become chartered 6 to 12 months after joining. Demonstrate a proven track record of undertaking peat surveys including recording accurate descriptions of peat landscapes, undertaking peat classification, collecting soil samples and classifying peat hydrology. Detailed working knowledge and specialist understanding of peat management and restoration including interpretating peat volumes. Working knowledge and demonstrable understanding of the relevant legislation, technical guidance, industry standards and best practice, in respect to the assessment, protection and sustainable management of peat. Experienced in preparing and reviewing technical reports, peat assessments, peat resource management plans, peat handling management plans and aftercare plans. Experience in writing EIA chapters is desirable but not essential. Experience with peat landslide risk assessments desirable but not essential. Demonstrate a proven track record of providing advice on sustainable peat management during infrastructure development. Excellent communication skills and proven ability to manage and mentor staff as well as managing time and work as part of a team as well as individual working. Flexible and prepared to take on new challenges. Full UK driving licence and the ability and willingness to travel throughout the UK and work on short term assignments. Rewards & benefits Explore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. Be rewarded. Find out more. About AtkinsRéalis We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.

Accord Healthcare Europe is seeking field-based MSLs to advance science and standards of care for patients, healthcare providers, and payers across the region. The MSL will deliver scientific information to external and internal stakeholders, support disease-area insights, and maintain up-to-date knowledge of relevant biomedical data. The role involves developing medical strategies, collaborating with the medical unit, and ensuring compliance with ABPI Code of Practice.

Principal Peat / Soil ScientistApplylocations: GB.Glasgow.2 Atlantic Square York Street: GB.Edinburgh - Stamp Officetime type: Full timeposted on: Posted Todayjob requisition id: R-160550 Job Description OverviewWe have a great opportunity for a dynamic and motivated Senior or Principal Peat Scientist (depending on experience) to join our Environment Practice in the UK to support with current projects, drive technical delivery and develop business across our growth markets. We are flexible on location, but ideally you will be based in Scotland.We are seeking an individual with a strong technical background and practical experience in the assessment and management of peatland to support existing projects and to the development of our peatland management services.You will be an important part of an innovative and technically excellent multi-disciplinary team helping to deliver bespoke soil and peat management strategies for major infrastructure projects across the UK and globally, as well as supporting on projects relating to natural capital and nature-based solutions. As a member of our team, you will be involved in a range of office and field-based work, engaging with our experienced staff to deliver excellence to our clients, and will work closely with a wide range of other professionals to deliver holistic solutions to environmental and engineering problems.The Sustainable Soils and Resource Management (SLRM) team is a well-established, award winning, multi-disciplinary, environmental and engineering practice with an extensive portfolio of regeneration and development projects and a highly skilled team winning numerous industry awards over the years. Due increasing project demands, we are growing our peat, soil and agricultural land quality service lines, and the successful candidate will work on a number of large projects across a range of exciting markets, including the development of Cities, Transportation, Water, Defence and Energy infrastructure. Your role Lead on the technical delivery of peat surveys and development of sustainable management strategies. Support and lead on client work development, preparation of proposals and input into bids for multi-disciplinary infrastructure projects. Liaison with clients, stakeholders, regulators, sub-contractors and other internal disciplines. Work effectively as part of a team and with other professionals (environmental scientists, engineers, planners) to provide a consistent and integrated service to our clients. Maintain excellent professional relationships which will lead to and secure repeat business. Compliance with Health and Safety policies and procedures, including preparing and reviewing health and safety plans and managing health and safety on site. Provide technical guidance, constructive support and mentoring to junior staff and supporting their technical development. Developing own competence and maintain CPD necessary to fulfil the responsibilities of the role, with support from the business on own training and development needs. About you Degree qualified in a relevant science subject (e.g. peat or soil science, geology, geography or environmental science). Relevant years of post-graduate experience. Full or Chartered Membership of relevant professional body. If not Chartered, we would expect the candidate, with our support, to become chartered 6 to 12 months after joining. Demonstrate a proven track record of undertaking peat surveys including recording accurate descriptions of peat landscapes, undertaking peat classification, collecting soil samples and classifying peat hydrology. Detailed working knowledge and specialist understanding of peat management and restoration including interpretating peat volumes. Working knowledge and demonstrable understanding of the relevant legislation, technical guidance, industry standards and best practice, in respect to the assessment, protection and sustainable management of peat. Experienced in preparing and reviewing technical reports, peat assessments, peat resource management plans, peat handling management plans and aftercare plans. Experience in writing EIA chapters is desirable but not essential. Experience with peat landslide risk assessments desirable but not essential. Demonstrate a proven track record of providing advice on sustainable peat management during infrastructure development. Excellent communication skills and proven ability to manage and mentor staff as well as managing time and work as part of a team as well as individual working. Flexible and prepared to take on new challenges. Full UK driving licence and the ability and willingness to travel throughout the UK and work on short term assignments. Rewards & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.Be rewarded. Find out more. About AtkinsRéalisWe're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage. Worker Type Employee Job Type Regular At AtkinsRéalis , we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.

Westren Capital is a London-based proprietary trading firm specialising in digital asset markets. We are committed to rigorous, first-principles research at the intersection of quantitative finance and machine learning. We bring together talent from Mathematics, Physics, and Computer Science to push beyond conventional modelling approaches and translate cutting edge research into actionable signals across global markets. Our culture is built around intellectual honesty, independence of thought, and a deep respect for evidence over narrative. We value researchers who are willing to challenge assumptions, explore uncomfortable ideas, and iterate quickly in the face of uncertainty. Collaboration is not ornamental here, it is structural. The best ideas tend to emerge where disciplines overlap and perspectives collide. Our AI team sits at the core of this effort. It is a focused R&D group of quantitative researchers, engineers, and ML practitioners working on frontier problems in representation learning and large scale modelling. The mandate is simple in wording and difficult in execution: extract signal from unstructured data and convert it into robust, scalable alpha. Responsibilities: We are searching for researchers who have a history of using machine learning for solving challenging, realistic problems, not benchmark problems pretending to be progress. It's intrinsically end-to-end: spotting problems that matter, specifically where there's an advantage in developing LLM skills, and pushing them through the full development process. You will be working with our traders, figuring out what constraints exist, what data looks like in practice, and what signals are realistically possible. From there, it becomes an exercise in iterating until your models, tools, and infrastructure don't collapse the first time you encounter real world markets. The field is intentionally wide. Your projects could land anywhere on the research pipeline for quant finance, wherever you can turn unstructured data and cutting edge machine learning techniques into economically valuable insights. We're not asking for excellence everywhere. The secret to success in this field lies in finding the right combination: expertise in one area, competence in another, and an innate interest in the third. Usually, this means machine learning, computer science, and some feel for how markets function when theory meets reality.And, inevitably, a few more duties nobody bothered mentioning but which will crop up regardless. Requirements: Around 5+ years of experience building machine learning systems that have delivered real, measurable impact, whether in industry or academia. A strong grounding in ML with some exposure to modern language models such as transformers or related architectures. Comfortable writing solid, production-quality code in Python and/or C++, and familiar with frameworks like PyTorch, TensorFlow, or JAX. Beyond tools, what matters is a mix of curiosity, range, and original thinking, balanced with a practical instinct for what actually works. You should be able to reason clearly about quantitative problems, communicate effectively with trading researchers, and maintain a consistent, dependable working rhythm. Experience working with HPC environments or training large models in distributed settings, along with some exposure to GPU-level optimisation using CUDA or ROCm. A track record of taking models end-to-end, particularly in the context of LLMs, is valuable. Prior academic publications or meaningful contributions to open-source AI work are a plus. It also helps if you have considered views on how ML research and infrastructure should be done, and the judgement to know when those views need to bend to reality.

Grayce specialises in delivering data-driven change and transformation for some of the UK's most ambitious organisations. For over a decade, we have partnered with FTSE 100 and FTSE 250 companies to deploy high-performing early career talent across complex data and analytics programmes. Our Accelerated Development Programme offers a structured, fast-track route into industry. You will gain hands on experience working with real datasets, building insights, supporting data platforms, and contributing to data-led decision making. You will typically work with one client at a time, delivering meaningful outcomes in a professional, client-facing environment. Alongside this, you will complete a minimum of six industry-recognised accreditations, with clear progression pathways and salary growth as you develop. About Our Opportunities We are recruiting graduates into a range of data-focused roles across analytics, engineering, and data science. By joining our Data pathway, you will have the opportunity to develop your skills across a range of data-focused roles. Depending on your strengths and interests, you may progress into roles such as: Advanced Analytics & Data Science: Data Scientist Data Analysis & Insight: Data Analyst, BI Analyst, Insight Analyst, Reporting Analyst, Hybrid Data/Business Analyst Data Engineering & Platforms: Data Engineer, Data Governance Analyst, Data Quality Analyst What You'll Be Doing Analysing and interpreting complex datasets Building dashboards and visualisations Supporting data pipelines and transformations Ensuring data quality and governance Communicating insights to stakeholders Technical Skills (Advantageous) Excel, SQL, Python or R Data modelling and transformation concepts What Makes a Great Grayce Consultant Strong analytical mindset Attention to detail and accuracy Ability to translate data into insight Clear communication and storytelling Why Work for Us Locations Locations are updated regularly based on client demand. Current opportunities include: Aberdeen, Birmingham, Bridgend, Cambridge, Essex, Harrogate, Hursley, Leeds, Leicester, London, Macclesfield, Manchester, Nottingham, Portsmouth, Rochester, Sheffield, Southampton, Suffolk, Warrington, York and Taunton. Gain hands on experience working full-time, on-site with leading organisations, supported by structured training and industry-aligned development. Delivery Work directly with a client, delivering high-quality outcomes in a professional, client-facing environment. Receive dedicated coaching and support throughout your placement and development journey. Progression Complete a minimum of six industry-recognised accreditations, with clear pathways for career progression and salary growth. Access our Employee Assistance Programme, offering 24/7 confidential support across financial, legal, health, and wellbeing areas. Our salaries are dictated by location and client

About this role AI Labs Overview For more than three decades, BlackRock has combined world-class talent and technology to redefinewhat'spossible in asset management. Today, AI is reshaping every aspect of our industry, from investments and client experiences to operations, risk management, and product innovation. BlackRock AI Labs sits at the center of that transformation. AI Labs is BlackRock's advanced AIscience andengineeringorganization. We partner with teams across the firm to solve some of the most complex and consequential challenges in financial services, applying generative AI,machine learning,optimization,andstatisticsto deliver measurable business impact.Our mission issimple but ambitious: combine human and machine intelligence to revolutionize asset management. What sets AI Labs apart is our ability to move from idea toimpact. We are not a research lab detached from the business, nor are we a traditional software engineering organization. We are a hybrid team ofscientists andengineers who build solutions thatrun at scale inproduction environmentsandcreate capacity for our business partners.From AI-powered investment insights and risk management solutions to next-generation agentic workflows and enterprise AI platforms, our workis helping toshape the future of BlackRock. Our teams work on some of the firm'shighest prioritystrategic initiatives, including large-scale generative AI systems, intelligent agents, predictive analytics, optimization engines, operational risk solutions, and AI platforms that accelerate innovation across BlackRock. We help define best practices,establishtechnical standards, and enable teams throughout the organization to adopt AI safely, effectively, and at scale. AI Labs has offices in New York, Edinburgh, Atlanta,San Franciscoand Seattle. We are looking for candidates with unique backgrounds and diverse skill sets with fresh perspectives to accelerate and amplify our efforts to make an impact at BlackRock. In this role, you can expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, and operate production AI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring, and adoption across the firm. Translate emerging AI capabilities into robust, scalable solutions that deliver measurable business impact. Define evaluation, testing, and observability approaches for AI systems, including non-deterministic and agentic applications. Optimize AI systems and workloads for latency, throughput, compute efficiency, reliability, security, and cost. Partner with business, engineering, data, risk, and control teams to take solutions from concept through production deployment and ongoing operation. Establish engineering standards, mentor engineers, and influence technical strategy across teams. The minimum requirements for this position are: 12+ years of software engineering experience, including significant experience designing, building, and operating complex production systems. 6+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong SQL skills and experience working with data-intensive applications and large-scale datasets. Experience designing and building APIs, services, data pipelines, or distributed systems that support AI/ML applications. Experience with containerization and orchestration technologies, such as Docker and Kubernetes. Demonstrated ability to lead complex technical solutions from architecture and design through production deployment, operation, and continuous improvement. Strong problem-solving, collaboration, and communication skills, with the ability to influence technical decisions across multidisciplinary teams. Additional knowledge and experience we value includes: Experience collaborating with research teams in fast-moving environments, ideating quickly on research prototypes. Generative AI, large language models, AI agents, and architectures for production AI systems. Evaluation, experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX. Distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design. Performance optimization across latency, throughput, compute utilization, reliability, scalability, and cost. Responsible AI, security, governance, and controls in enterprise or regulated environments. Experience with a systems- or performance-oriented programming language such as Rust, C++, C, Go, or Zig. Experience in financial services or another regulated industry. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok. BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law. Company: BlackRock Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, NLP, Predictive Analytics, United Kingdom

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us. 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. London or UK Remote £150,000 - £200, 000 + Equity + Benefits About our Data Discipline We have a strong culture of data-driven decision making across the whole company. Data is central to how we understand our customers, shape our products, manage risk and grow Monzo sustainably. We believe in empowering teams with high-quality, trusted data and self-serve analytics, while creating space for Data practitioners to focus on the highest-impact questions, opportunities and decisions. Our Data discipline is centralised, but deeply embedded in Monzo's product areas. Data Scientists, Analytics Engineers, Machine Learning Engineers and Analysts work in cross-functional squads alongside Engineers, Designers, Product Managers, Marketers and other specialists. This means Data is not a downstream service: we help shape strategy, challenge thinking, build the data foundations teams need to move quickly, and share accountability for customer and commercial outcomes. Our Payments team At Monzo, payments are more than just moving money from A to B. They are a core part of how customers experience trust, speed, and financial control every day. As a Data Director in Payments, you would help shape seamless local payment experiences, ensuring customers can pay and get paid reliably while continuing to modernise the infrastructure that powers millions of transactions behind the scenes. The role also sits at the intersection of Monzo's broader ambition to build truly borderless banking and expand into new markets. That means designing products and payment capabilities that work effortlessly across geographies, currencies, and customer needs, while helping Monzo scale into new markets with the same simplicity and transparency that defines the brand today. You'll partner closely with Product, Engineering, and Design to help shape Monzo's payments strategy to make Monzo's global ambitions a reality, enabling revenue and customer growth with a resilient, self-serve banking platform. To succeed, you should be excited about solving tough, ambiguous business problems with analytical rigour, commercial viability and execution effectiveness Your day-to-day Establish yourself as a trusted member of the Payments Leadership team, enabling better decisions across Payments and the wider Data Discipline Co-drive Payments strategy and product decisions with Product and Engineering, bringing Data into discovery early to shape priorities and challenge thinking Identify untapped opportunities for commercial optimisation, including across pricing, commercialisation, investment and customer growth Set the data strategy for Payments, including the operating model, team priorities, architecture, technical debt and key metrics and drivers Translate between technical, product and commercial perspectives to help teams make clear, high-impact decisions Develop and scale a high-performing team of data professionals sharing accountability for product and business outcomes. You should apply if: What we're doing here at Monzo excites you! You have experience driving payments innovation and product strategy forward in a fast-growing business You combine deep Data expertise with strong product and commercial judgement. You can move comfortably from detailed metrics or architecture discussions to customer strategy, pricing and business outcomes You are an empathetic people leader who can build trust quickly, raise the performance bar and retain excellent talent You have experience growing and leading a full stack data team, including individual contributors and managers across Data Science, Analytics Engineering, Machine Learning Engineering and Analytics You have experience collaborating with senior cross-functional stakeholders across Product, Engineering, Design, Marketing and risk/control functions The Interview Process After an informal 30 min recruiter call, our interview process involves 2 main stages. We promise not to ask you any brain teasers or trick questions! Initial Call (1 hour) You'll meet with one of our senior data leaders. Loop Stage - This is one stage with 4 interviews (totalling 4 hours) split between a collaboration with one of our engineers on a technical exercise, as well as behavioural and leadership interviews. You can have this all in one day or split these across multiple days, whichever your prefer. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on - How we work : Locations & Flexible Working : Our main tech hub is in London, but our engineers live everywhere in the UK- from Brighton to the Western Isles. We value meeting in person but there's no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays. Set up a work schedule that delivers impact and fits your life. At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You'll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. Work the way that works for you with Monzo! What's in it for you Base salary £150, 000 - £200, 000 + Equity + Benefits 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 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. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. 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, or 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 Find more English Speaking Jobs in United Kingdom on Arbeitnow

Prolific is expanding its Integrity team with a new Applied Scientist role focused on verification of high-quality expert participants. You will shape the problems, model signals, and work with other teams to turn ideas into measurable experiments. You'll combine data science, ML and statistics to build production-ready solutions that balance speed, cost and impact, joining a mission-driven company that values rigorous thinking and practical outcomes.

Ocado Technology in London and Hatfield is seeking a Data Science Manager for Logistics to lead the Autoplanner team and deliver AI-enabled planning across global warehouses. You will bridge research and live operations, integrating models into backend services and scaling a high performing team. You will mentor and coach engineers and scientists, drive best practices, and deliver systems that balance profitability with operational excellence. This hybrid role spans London and Hatfield.