8 jobs found

Who we are We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team. Who you are You are an early-career software developer or recent graduate with a keen interest in generating real-world impact with industrial applications. Must have: A recent degree in a STEM field (e.g., engineering, physics, mathematics, computer science). Evidence of self-motivated learning, listening, creative problem solving, critical thinking and solutions communication. We are less interested in specific technologies and tools, and more interested in your attitude, learning speed and thought processes. Strong communication skills. Programming experience with any of C#, Rust, or other typed languages; Interest in cloud technologies: e.g. AWS or Azure. Eligibility to work in the UK. Nice to have: Understanding of software engineering best practices. Some exposure to applied experience, e.g., internships, research projects, or personal projects. Familiarity with DevOps tools like Kubernetes, HashiCorp Nomad, Docker. Keen interest in data-flow pipelines, databases, simulation, machine learning and/or security; Ability to deal with ambiguity and change, in a high-growth environment, while maintaining high standards of quality and attention to detail. Customer interaction experience. Bonus: Existing interest in standard machine learning and deep-learning packages (scikit-learn, Keras, PyTorch); Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries; Experience with high-performance computing (HPC). What we do We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems. Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors. Where we operate Our office is in London (White City). This position is available full time in the UK. When we work We offer 25 days paid annual leave, in addition to UK bank holidays. What you will do You will have opportunities to contribute to exciting projects and grow your career in a supportive environment: (60%) Support the development and testing of features, fixes and general improvements to the core Quaisr product. Investigate and address production issues (20%) Improve deployment processes including deployment scripting, testing, continuous integration and continuous delivery. (20%) Contribute to technical reference materials including application, code and use-case documentation, technical blog posts, and educational resources for teach-in sessions and data-centric engineering seminars. What we offer Salary range of £45,000 to £55,000 depending on experience. Development training and support to learn required technical skills. Employee stock options. New equipment: MacBook Pro, and work-from-home allowance. Opportunities to attend technical conferences. Flexible hybrid working environment, blending work from the office and home. Our hiring process (30 mins) Introductory call with Quaisr. This is a chance to learn about Quaisr and to check that our plans align with your own. We want to get to know you. (90 mins) Technical call with two Quaisr team members. We'll give you an opportunity to talk through a past programming experience, including taking us through some of your code. We want to learn more about you, and a little regarding how you think! (60 mins) Online coding exercise (with a Quaisr team member on the call) covering basic software development concepts. (45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us. Application instructions Please send a cover letter and CV (max 2 pages) to . Our policy on equality, diversity and inclusion Quaisr is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability. One more thing If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.

End Date: Wednesday 10 June 2026 Salary: £70,929 - £78,810 Location: Bristol Job Title Senior Data Scientist Working Pattern Hybrid: 40% (or two days) in the Bristol office; On-call required. About this opportunity Consumer Servicing & Engagement (CS&E) Platform delivers a unified digital servicing proposition for personal customers on the device of their choosing, giving the best digital customer experience to increase engagement and options for self service. We build deeper and more trusted relationships with our customers and support them to improve their financial lives by offering valuable, engaging and human like digital banking experiences. We grow customer satisfaction and trust through simple, helpful and personalised experiences that they love. We provide and guide customers to complete and easy to use self serve offerings where they can do (almost) everything they want within digital. We deepen valued customer relationships, helping them build financial resilience, by understanding what they need and when. Responsibilities Own and continually improve upon our current approaches for solving common AI use cases, focused around NLP - blending traditional NLU techniques with GenAI. Contribute to the data science chapter and help it address more complex problems that require new approaches to be introduced. Deliver proofs of concept that demonstrate these new capabilities and how they can deliver value to future projects. Contribute to target production architectures of AI systems. Define automated approaches to common workflows - e.g., for feature selection, hyperparameter tuning, model testing and monitoring. Coach and help develop more junior members of the team, including other data scientists, graduates and apprentices. Qualifications Previous experience as a Data Scientist in machine learning. Strong communication skills and the ability to collaborate effectively with other teams. Strong ability to translate data science methods and results for non technical audiences and to persuade senior business stakeholders of the significance of these results for decision making. Theoretical and applied knowledge of a broad range of statistical modelling and ML techniques focused around NLP - blending traditional NLU techniques with GenAI. A good working knowledge of the latest NLP and LLM techniques. Experience with conversational AI systems and methodologies. Understanding of risks and guardrails for Generative AI applications. Skills in Python and SQL for data science, including how to write modular code, familiarity with the core Python data structures and fluency with pandas and other packages commonly used for data science. Strong ability to coach data scientists in how to use these tools to address particular business problems and to review the code they produce. A pragmatic, "keep it as simple as possible, but no simpler" attitude to your work and designs. Benefits Generous pension contribution of up to 15% 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 policies EEO and Diversity 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 provide reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. 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 neuro divergent condition through the Disability Confident Scheme.

Open to US, Canada, and UK only. No sponsorship available for this role. Job Responsibilities Heavy statistical programming and data review for real world (RW) data analyses. Experience with commercial databases such as Optum, HealthVerity, or IQVIA PharmMetrics. Support protocol and statistical analysis plan (SAP) review for epidemiologists. ICD knowledge and experience with clinical terminology. Develop and maintain databases and data specifications (e.g., OMOP CDM). Create and validate analysis datasets, tables, listings, graphs, and other deliverables. Review data and program outputs against protocol requirements and flag issues. Identify and resolve messy data issues, proposing solutions. Use SQL, SAS, R (or Python) to develop custom programming code for RW datasets. Ensure outputs meet quality standards, follow SOPs and regulatory guidelines (ICH, etc.). Maintain thorough documentation, testing, and verification records for inspection readiness. Manage scheduling and time constraints across multiple projects, prioritizing tasks based on management goals. Participate in internal and sponsor meetings, providing input on study protocols and specifications. Mentor junior programmers and develop training materials. Additional duties as assigned. Minimum Requirements Education: Undergraduate or master's degree in a scientific or statistical discipline (e.g., biostatistics, mathematics, epidemiology). Data Experience: eHR, claims data (Optum, HealthVerity, IQVIA PharmMetrics). Nice to have: MarketScan, VA, Medicaid, Medicare. Programming Languages: SAS or R (must have SQL). Experience with cohort derivation and index date definition. Statistical modeling: GLM, logistic regression, Cox proportional hazards, propensity score matching, incidence computation. OMOP CDM understanding and ability to transform healthcare data into a common format. Experience with AI/ML for LLM and workflow is ideal (e.g., AI/ML modeling, GitHub version control). Excellent written and verbal communication skills. Fluency in English. Salary Range $80,600.00 - $145,000.00 Benefits Company car or car allowance, medical, dental and vision health benefits, company match 401(k), employee stock purchase plan, eligibility for commissions/bonus based on performance, flexible paid time off (PTO) and sick time. Paid sick time eligibility may vary by state or municipality as required by law. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. EEO Statement Syneos Health is an Equal Opportunity Employer. The Company is committed to compliance with the Americans with Disabilities Act, providing reasonable accommodations as needed to assist employees or applicants in performing the essential functions of the job.

JOIN OUR JOURNEY Medialab is the UK's leading independent media agency, and one of the fastest growing in the industry. We're a media agency that's made differently: purpose led, data-driven, founder-run and proudly independent. Our entrepreneurial spirit means success is rewarded and there are no limits to what you can achieve, which our employees agree with, evidenced by being a Campaign 'Best Place to work' for the last 5 years in a row, Campaign's Independent Agency of the Year 2024 and The Sunday Times Best Places to Work 2025. We are IPA Effectiveness accredited, an IPA People-First agency and widely awarded including a double-gold at the 2024 IPA Effectiveness Awards for our work with Laithwaites. Our independence means we can focus 100% on doing the right thing to secure success for our clients and our brilliant people. We work with a wide variety of clients including Hovis, Sharps Bedrooms, SunLife, Standard Life, Laithwaites Wine, EMMA Mattresses, Save the Children, Mind, Guide Dogs, Alzheimer's Society, RNLI and Clearscore. OUR VALUES Commit to Doing the Right Thing (Act with integrity and accountability) Help People Flourish (Invest in people) Dig Deeper to Understand Better (Data driven curiosity) OUR COMMITTMENT TO YOU Working at Medialab comes with lots of perks including all the usual things you would expect, such as a competitive salary package, pension, season ticket loans, cycle to work scheme, weekly social events and big summer / end of year parties. On top of that, we offer extra benefits, which make life at Medialab even more rewarding: Time to Unwind - 22 days holiday (+ Christmas holiday closure), birthday & mental health day off, holiday buying scheme, flexi-hours and work abroad scheme. Hybrid Working - Balance between home and office. (3 days in office) We welcome requests for flexible working arrangements from the commencement of employment. Career Growth - A meritocratic approach to progression with quarterly reviews, CPD Platinum accredited training, mentoring and leadership support. Health & Wellbeing - Private medical insurance, health cash plan, gym discounts, wellbeing apps Mental Health First Aiders and unlimited free professional counselling. Supporting Families - Enhanced parental leave, flexible working and life assurance. Giving Back - Paid charity days and sustainability initiatives. Perks & Rewards - Retail discounts, long-service trips and an unforgettable team culture. YOUR NEXT CHALLENGE Are you interested in learning and working in the world of data science with its application into the media advertising landscape? Does the world of innovative digital marketing grab your attention? We are looking for a highly numerate undergraduate student currently studying a relevant degree in mathematics, statistics, economics or data science who would be interested in applying their statistical knowledge and helping some brilliant charities deliver donation growth. As University Placement Data Scientist Student at Medialab, you will join the rapidly developing data team, who are responsible for measurement solutions and modelling expertise. Whilst helping a diverse client-set understand the true value of their media investment. You will also create compelling data stories on how to drive growth, and automate the insights into the planning cycle through their advance and integrated tech stack. We will help you apply your economics and statistical understanding into the media advertising landscape on practical real-world applications to showcase the value they can have in your career. HOW YOU WILL MAKE AN IMPACT Work closely with businesses to identify issues that can be resolved using data solutions effectively for decision making. Statistical methods to solve complex problems and study business performance. Studying market trend data to understand the resulting impact on individual businesses. Support the account management and planning teams across all facets of campaign measurement across media channels. Develop automated data processes using SQL. Ability to organise a variety of large data sets. Undertake regular analysis and reporting for retained clients. Maintain clear and coherent communication, both verbal and written, to understand data needs and report results. Working with the marketing effectiveness team and other senior business stakeholders to develop analytical propositions. Applying and developing your data handling and analytical techniques to client projects including: multi-channel response attribution, retention/churn, customer lifetime value, customer engagement and segmentation. WHAT YOU BRING TO THE TEAM MUST HAVE SKILLS Highly numerate undergraduate studying a relevant degree in mathematics, statistics, economics or data science. Theoretical understanding of statistical techniques such as regression and developing confidence measures. Pre-requisite skills: Strong Excel and MS Office usage. Strong data manipulation skills and a keen eye for detail. Good communication skills. NICE TO HAVE SKILLS Inquisitive analytical mind with a strong desire to find things out. Pragmatic approach to problem solving. Highly organised with strong attention to detail. Confident and assertive in social environments. Be a genuine team player whilst also being able to deliver on a task you are responsible for. Good listener, articulate, persuasive, patient and resourceful. Quick learner, pro-active mind set, resourceful, and able to think for self. Logical thinker, with the entrepreneurial eye to identify opportunities. Experience of coding in Python, R or SQL would be useful but not essential. Applications to close Monday 6th April 2026

Job Title: AI Research Engineer Location: Cambridge, UK Salary: Competitive, depending on experience Job Type: Full-time | Permanent Department: Artificial Intelligence / Research & Development Role Overview We are looking for a talented and driven AI Research Engineer to join our growing team in Cambridge. This role is ideal for individuals with a strong foundation in machine learning or data science who are passionate about advancing AI technologies and applying them to real-world challenges. You will work on cutting-edge research and development projects, contributing to both theoretical innovation and practical deployment. Education Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, or a related technical field. Minimum academic requirement: 2:1 or above in undergraduate degree and AAB or higher at A-level (or international equivalent). We would consider data science backgrounds with relevant experience. A degree from a globally recognized institution (Top 200 Global Universities) is required. Required Skills and Qualifications Strong analytical and problem-solving skills with a scientific approach to experimentation. Proficiency in data science and machine learning workflows, including data handling, model training, and evaluation. Solid understanding of software engineering practices, particularly in the context of ML development. Hands-on experience with Python and ML libraries such as PyTorch, TensorFlow, and Scikit-learn. Familiarity with tools like Git, Docker, and cloud platforms (e.g., AWS, GCP, Azure). Qualifications (Preferred for Senior Roles) Expertise in advanced ML areas such as Transformers, LLMs, NER, GANs, Reinforcement Learning, or Multimodal AI. Academic or industry experience in fields like Natural Language Processing, Computer Vision, or Deep Learning. For senior candidates, must have written publications in peer-reviewed journals or conferences (e.g., NeurIPS, ICML, ACL, CVPR). Demonstrated impact in a commercial or applied research setting. Experience mentoring junior engineers or leading research initiatives. About Adecco: Adecco operates as an Employment Agency and is an equal opportunities employer. We are on the client's supplier list for this role. Keywords AI Research, Machine Learning Engineer, NLP, Computer Vision, Deep Learning, PyTorch, TensorFlow, LLMs, Transformers, GANs, Reinforcement Learning, Data Science, Python, Cambridge AI Jobs, Applied AI, Research Scientist, Artificial Intelligence, ML Research, AI Innovation