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Technical Project LeadLeeds areaUp to £65,000 per annum DOEElevation Recruitment Group are working with a specialist manufacturer to recruit a Technical Project Leader to join their established R&D function. \n This is a senior technical opportunity for an experienced formulation chemist or scientist with a background in industrial lubricants and/or greases, looking to take ownership of innovation projects and play a key role in shaping future product development. \n Working across R&D, Product Management, Operations and Commercial teams, you will lead technical projects from initial concept through formulation, validation, scale-up and commercial launch, while acting as the technical specialist for your product area. Key responsibilities:\n\n • Lead the development of new industrial lubricant and grease products from concept to commercialisation.\n, • Develop formulations and experimental programmes to deliver innovative, customer-focused solutions.\n, • Support manufacturing scale-up and technology transfer to ensure robust production processes.\n, • Work closely with Product Management to translate market requirements into technical development projects.\n, • Collaborate with customers, suppliers and external test houses to validate product performance.\n, • Monitor industry developments, emerging technologies and competitor activity to support future innovation.\n, • Mentor colleagues and provide technical expertise across cross-functional teams.\nWe're looking for:\n\n, • Degree qualified in Chemistry, Chemical Engineering, Materials Science, Tribology or a related scientific discipline (MSc or PhD advantageous).\n, • Significant experience within industrial lubricants, greases or closely related formulation environments.\n, • Proven experience developing and formulating industrial lubricant products.\n, • Experience taking products through laboratory development, testing and manufacturing scale-up.\n, • Strong understanding of formulation chemistry, raw materials and performance testing.\n, • Confident working across technical and commercial teams, with the ability to communicate complex technical information clearly.\n, • A proactive approach with strong problem-solving skills and a genuine passion for innovation.\n\n This is an excellent opportunity to join a business that invests heavily in research and development, offering the chance to influence product strategy, lead technically challenging projects and contribute to the development of market-leading industrial lubricant technologies. \n For more information, or a confidential chat - contact

RISK DATA SCIENTIST (ESG & Supply Chain) £70,000 + BENEFITS PRIMARILY REMOTE Make a real-world impact in an industry that needs smarter, more sustainable solutions. This role would suit someone who enjoys end-to-end ownership, communicating with non-technical stakeholders, and building models from scratch using Python and SQL. THE COMPANY: I'm working with construction tech company that's making a real impact in ESG, supply chain risk, and sustainability. This is a hands-on, high-impact role where you'd work closely with a small, collaborative product team-shaping how financial, ESG, and supply chain data is turned into actionable insights. THE ROLE: This client are hiring a Risk Data Scientist to take full ownership of modelling efforts across their core risk platform. A Data Scientist (Risk) will need to: • Take end-to-end ownership of risk modelling across financial, ESG, and supply chain data, • Design and implement models from scratch using Python and SQL, • Collaborate closely with the cross-functional product team, • Contribute to GenAI-powered reporting tools YOUR SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills and experience: • Solid experience in risk modelling, • Strong Python and SQL skills, • A solid foundation in Statistics and ML., • Experience with end to end product ownership THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)., • Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction., • Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility., • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency., • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)., • Incorporate big data processing scenarios requiring scalable computational approaches., • Verify solutions using Python with standard data science libraries and statistical methods., • Document problem statements clearly with realistic business contexts and provide verified correct answers. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field., • You have at least 5 years of hands-on data science experience with proven business impact., • You have portfolio of completed projects and publications showcasing real-world problem-solving., • You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)., • You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications., • You are proficient in SQL and database operations for data manipulation and analysis., • You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)., • You have good understanding of MLOps practices and model deployment workflows., • You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

Our Mission Summary Ocean Science Consulting Limited (OSC) is modelled on Woods Hole Oceanographic Institution (WHOI), which undertakes commercial and military contracts to fund scientific Research and Development (R&D). OSC’s founding Director was formerly a scientist at WHOI, hence this approach and pursuit of her core research interests. translating past and current R&D outputs into future goals, we aim to influence OsloPARis Convention (OSPAR) decommissioning legislation, by potentially repurposing offshore anthropogenic infrastructure via Nature-in-Design (NID) techniques into artifcial reefs, readdress methods to collect/analyse survey data more effectively and reduce carbon emissions (e.g. fewer people, vessels, and planes, etc.), promote long-term monitoring campaigns that focus on project lifecycles and not merely construction windows, by introducing high-tech low-power hardware and novel processing, which will progress the blue economy. Ocean Science Consulting Limited aims to influence decommissioning legislation and promote the blue economy through innovative research and development, focusing on marine mammal detection, artificial reefs, and reducing carbon emissions.Position title: Internal accountant Type: Full-time, permanent position Salary: Competitive depending on qualifications and experience Holiday: 32 days + birthday, incl. public holidays, increasing with service Benefits: Health insurance Location: Dunbar, East Lothian, Scotland, UK (potential for remote/flexible working) Start date: ASAP About OSC Ocean Science Consulting Limited (OSC) is a technology-focused marine science company involved principally in providing environmental services worldwide. OSC specialises in and monitoring, and , Remotely Operated Vehicle , and . OSC has a track record for providing environmental monitoring (mitigation for regulatory compliance) and (field studies and experiments) for a large and range of _. Role OSC is seeking an internal accountant to become a member of the team. The internal accountant will have previous experience working in a finance role, including knowledge of UK VAT. Our ideal candidate will have a proactive, hands-on mindset with the ability to self-review their work. Responsibilities: • Take responsibility for all in-house finance matters;, • Ability to work efficiently in a management accountant role across a wide range of projects, completing analysis as and when required by management;, • Using Xero software (and the associated Hubdocs App to upload receipts) to complete day-to-day bookkeeping, which includes OSC’s storage business (containers and vehicles) within a compound adjacent to our offices, and rental property;, • Using Rentila and managing customer contracts and payments for the storage business;, • Managing debtor and creditor ledgers and completing bank reconciliations;, • Preparation and filing of quarterly VAT returns;, • Completing monthly / quarterly management accounts;, • Preparation of records for R&D tax credits in contact with an external contractor, who provides software and training;, • Filing and naming according to company policy using SharePoint, with training provided;, • Enforcing company-wide adherence to financial policies, including the requirement for all staff to submit VAT receipts where applicable and upload these via Hubdocs;, • Implementing and maintaining ISO procedures with finances;, • Directors’ personal accounting/book-keeping/income tax and VAT returns; and,, • Payroll and associated records of working days and holiday. Required: • Legally permitted to work in UK prior to employment;, • Degree in a relevant discipline (e.g. accounting or finance) or previous experience working within a finance role;, • Previous experience preparing and filing VAT returns;, • Excellent written and verbal communication skills;, • Strong skills across Microsoft software (excel, word, outlook, teams);, • Able to work on own initiative and prioritise effectively, achieving results against deadlines;, • Genuine interest about the business, and the industry; and,, • Commercially aware, discreet, and able to handle sensitive information. Desirable: • Experience using Xero accounting software (training can be provided);, • Part qualified, qualified or qualified by experience., • Experience with foreign currencies and transactions OSC is an Equal Opportunities Employer. The company offers benefits such as health insurance, remote working, and opportunities for career progression. Please submit your CV and cover letter through OSC’s careers portal _. There will be a written test as part of the interview process. Kind Regards, OSC Recruitment Team.

About AQEMIA AQEMIA is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline. Our mission is to design fast innovative drug candidates for dozens of critical diseases, such as immuno-oncology. Our unique approach leverages quantum-inspired physics algorithms to power generative AI in designing novel drug candidates—without relying on experimental data. We already delivered several drug discovery successes within our internal pipeline and through collaborations with pharmaceutical companies. Our most advanced programs are currently in vivo optimization. About the team you’ll join:As a Senior AI Research Scientist, you will join one of Aqemia’s Drug Discovery Platform AI Teams, composed of 5 AI Researchers, and lead efforts to develop cutting-edge AI algorithms to model protein-ligand systems and predict molecular properties. You will be a hands-on technical expert pushing the boundaries of what AI can do for drug discovery. Your deep knowledge of machine learning, strong coding foundations, and applied experience in model development will play a key role in advancing our Drug Discovery Platform.You will act as a technical mentor, contribute to high-impact R&D projects, and help integrate innovative AI methodologies into real-world drug discovery applications. • Lead the design and the technical implementation of novel ML algorithms with a strong focus on deep learning, generative models, graph neural networks, and physics-informed AI to predict molecular properties and protein-ligand interactions., • Take part in cutting-edge research and bibliographic exploration. You’ll identify relevant recent publications, benchmark promising ideas, and propose model or pipeline improvements., • Act as a mentor to junior team members, offering guidance on system design, model implementation, debugging, and good coding practices., • Collaborate with AI researchers, computational chemists, and drug discovery teams to translate AI models into actionable scientific insights., • Be deeply involved in coding, from prototyping to deploying production-ready models. You should have a strong software engineering mindset and a passion for writing clean, efficient, and scalable code., • Share best practices in deep learning model development, testing, and reproducibility within the team., • Scale AI models for real-world applications, optimizing model efficiency, interpretability, and generalization to unseen chemical spaces., • Strong problem-solving skills, autonomy and a collaborative mindset., • PhD or equivalent practical experience in Machine Learning, Computer Science, Applied Mathematics or a related field, with at least 8 years of experience., • Strong programming skills in Python and proficiency with Deep Learning frameworks (e.g., PyTorch, JAX, TensorFlow)., • Demonstrated hands-on experience implementing and deploying deep learning models in production or research environments., • Strong scientific rigor, curiosity, and ability to perform bibliographic research and exploratory R&D., • Experience in drug discovery, chemistry, or physics., • Experience with physics-informed ML models., • Familiarity with high-performance computing (HPC) and cloud-based ML pipelines.Interview Process- Screening call with Talent Acquisition (30 min)- Interview with your future Manager (45 min)- 1st technical interview: Paper review (1.5 hours)- 2nd technical interview: Take-home ML case (1.5 hours)- Interview with VP Platform and co-founders (1 hour each) Preferred MindsetAt Aqemia, we believe that great science thrives in the right mindset and culture. We are looking for candidates who embody the following principles: Pragmatic and Impact-Driven – Focused on delivering solutions that work in real-world applications, balancing scientific rigor with practical usability.Eagerness to Learn – A strong curiosity for scientific advancements and a willingness to continuously expand your expertise.Love for High Scientific Challenges – Enthusiasm for tackling complex problems at the frontier of AI and drug discovery.Team-Oriented – A collaborative spirit, thriving in an interdisciplinary environment.Humility – Open to feedback and different perspectives, always striving for improvement. Aqemia’s Recruitment team leads all recruitment activities for the company. We will not recognise any notional ownership recruitment companies claim over candidates presented directly to hiring managers without our Recruitment team's consent. Unsolicited resumes sent to us from recruiters do not constitute any type of relationship between the recruiter and Aqemia, and we will not be obligated to pay fees should we hire from those resumes. Why Join Us ? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal.Interdisciplinary Team : brilliant talent from tech and life sciences.DeepTech Recognition: Part of French Tech 120 and France 2030.Prime Location : Based in central Paris and London (King's Cross) with the possibility of 2 remote days per week.International Environment : The work language is English - relocation support and French lessons granted if needed.Strong Financial Backing : $100M raised from leading European and International investors

This is a vacancy for a hybrid, remote or on-site role at one of our HQs. We encourage applications from all qualified candidates, regardless of gender identity. As we continue to expand and evolve our Data Platform and Data Network products, we're looking for a Senior Machine Learning / Artificial Intelligence Engineer (m/f/x) to join our Product & Engineering team. In this role, you'll collaborate with our Principal Data Scientist to facilitate the establishment of practical AI solutions and scale our product capabilities, enhancing data integration offerings across our products. At Lobster, our Data Platform, Data Network, and connected Data Products share one mission: to connect people, data, and intelligence (human & artificial) to transform processes in supply chain, manufacturing, and retail. We empower our customers with the right tools to tackle complex challenges with scalable solutions. Ready to make your mark in an AI-driven environment? • Designing and building robust, scalable systems that support high-volume supply chain transactions across our platform., • Defining and implementing AI strategies and scalable microservices that drive data mapping, transformation, and intelligent integration., • Developing and maintaining RESTful and GraphQL APIs to ensure seamless communication between services and systems., • Creating and optimizing event-driven data pipelines to enable real-time processing, automation, and decision-making across our products., • Evaluating, selecting, and implementing the best-fit tools and technologies to solve complex engineering and data challenges effectively., • Collaborating directly with key customers and internal stakeholders to validate solution performance and ensure product impact and usability., • 5+ years of engineering experience focused on Machine Learning, AI, and Data Science., • Hands-on production experience with LLMs, PyTorch, ML pipelines, and modern prompt engineering frameworks., • Strong skills in Python development, including building microservices and working with event-driven architectures., • Proficiency in designing and consuming RESTful and GraphQL APIs., • Experience with AWS or Azure ML services (e.g., SageMaker, Bedrock, Azure ML) and cloud-native development., • Experience with PostgreSQL and MongoDB or similar relational and NoSQL databases., • A solid grasp of system design, scalability, and performance optimization in ML-driven applications., • A pragmatic, test-driven approach and experience implementing CI/CD pipelines., • Ability to translate business requirements into practical technical solutions, especially in data integration for supply chain/logistics contexts., • Strong communication skills in English., • Opportunity to work flexibly from home, • Modern offices in Germany, the Netherlands, and the UK, • A personal Learning & Development budget, • Up to 20 days of remote work per year from any EU country, • Company Pension plan, • 30 vacation days a year, • Location-specific benefits packages (your recruiter will be happy to provide more details during your first chat), • Company-sponsored business travel For this role, we are open to working with specialists based in Germany, the Netherlands, or the UK. Whether you prefer working on-site at our offices in Tutzing, Rotterdam, Leeds or remotely from a location within one of these countries, we’re happy to accommodate your preferred working style. If you’re excited about this role but don’t meet every qualification, we encourage you to apply! Lobster is an equal opportunity employer. We are committed to fostering a diverse and inclusive environment where empathy and respect guide our interactions.

Pega CDH Consultants Inside IR35 Remote in UK Initial 6 month engagement emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector. We power progress, solve challenges, and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication to delivering the optimal service for our clients. Our commitment is not just towards our clients — we aim to foster a positive and equitable working environment with our consultants and colleagues, which stems from our core values: Confident, Dedicated, Responsible, Genuine. We are building a best-in-class Next Best Action (NBA) decisioning capability and are hiring experienced professionals to design, scale, and optimise decisioning frameworks across multiple markets. This is an opportunity to work at the intersection of data, AI, and customer engagement, delivering personalised, real-time experiences in a regulated environment. We are hiring for: Lead Decisioning Expert Own and govern the NBA decisioning framework across markets. Key Skills: Pega LDA (mandatory) Deep Pega CDH expertise (NBA Designer, decision strategies) Decision frameworks (eligibility, arbitration, prioritisation) Omni-channel decisioning (real-time & outbound) Decision governance, explainability, regulatory awareness Strong stakeholder management & Agile delivery Lead NBA Data Scientist Design and optimise ML models driving NBA decisioning. Key Skills: Pega CDH adaptive models Strong MLB / RTIM / arbitration logic knowledge Advanced Python & ML development A/B testing, uplift measurement, model governance Feature engineering & real-time vs batch decisioning Git, Agile, cross-functional collaboration NBA Decisioning Specialist Deliver decisioning use cases and personalisation strategies. Key Skills: Pega PCDC (mandatory) Pega CDH / NBA Designer experience Decision logic configuration (eligibility, prioritisation, suppression) Testing, simulation & performance optimisation Strong business-facing communication Nice to have: Adobe AEP, Financial Services, multi-market experience Data Integration & System Engineers Build scalable data pipelines supporting decisioning systems. Key Skills: GCP (BigQuery) & Hadoop/Cloudera (mandatory) Spark, Scala, Python, SQL Data pipelines (batch & near real-time) Data modelling, governance & CI/CD Pega CDH integration experience QA / Test Specialists Ensure quality and performance across data and decision platforms. Key Skills: Hadoop & GCP (mandatory) Test automation (Pytest, Robot Framework) Python, SQL, Bash CI/CD, Docker, Jenkins ISTQB certified Our People The ideal consultants will share our values and be aligned with our ways of working. As your career progresses, you can expect to work across all areas of the project lifecycle, from strategy to implementation. This will provide you with a broad base of experience from which to build an outstanding career. The ideal consultants will share our values and be aligned with our ways of working and as your career progresses, you can expect to work across all areas of the project lifecycle. We pride ourselves on; Providing our people with a supportive culture, rooted in our values and driven by our purpose. Promoting a culture of inclusion, collaboration, well-being, and learning and development. Providing increased agility and flexibility within our hybrid working model Investing in employees’ growth through ongoing training and development Autonomy to take ownership of projects, making decisions and demonstrating individual expertise Providing an transparent performance and career management experience. Our consultants are integral to delivering successful consulting engagements, addressing our clients’ most pressing business challenges, and build lasting value in disciplines such as: Solve sophisticated, ambiguous business, change and technology problems, bringing structure and meticulous analysis and planning, acting, and taking decisions with little strategic direction Build, develop and sustain trusted senior client relationships in the C-suite by remaining highly attuned to client needs Drive, enable and support the business, partnering with our leaders, clients, and consultants across our practices to take the best of emagine to our clients through opportunity identification/qualification, solution development/presentation Interested? At emagine, we are committed to building an international and diverse team by embracing our different backgrounds. If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential. “emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin

At Notpla we’re at the leading edge of sustainable innovation, creating natural alternatives to single-use plastic packaging that’s carefully engineered to create a healthier planet. Founded on the belief that nature knows best, we’re an innovative, ideas and action-oriented scale-up who develop and manufacture uncompromisingly natural packaging solutions from seaweed and plants. The Edibles Category Owner will spearhead the strategic and operational success of the Edibles product line at Notpla. This category includes Ohoo, edible films, and pipettes, among other innovative products. This is an exciting time to join Notpla, right on the brink of a record-breaking year for revenue and on-track for major growth in the next 18-24 months. Bolstering confidence in our financial performance, we have just secured a Series A+ fundraise for £20million, enabling us to scale our growth and environmental impact faster than ever. The Category Owners report directly to the CEO’s & Co-Founders, whilst being heavily supported by our Head of Product Portfolio and our CRO. You will work closely with the Technical Category manager for the edible packaging category, working with them in a “co-founder” type capacity to drive the category’s vision-setting, strategy formulation, and category performance ownership Led by strong values, all Notpla employees are encouraged to take responsibility for their domain, giving a high level of autonomy. Our aim is to build an inspiring culture that's reflected in our working policies ,environment and employees. Besides offering exciting roles and a great working environment, Notpla provides competitive salaries, the potential for EMI Share Options, a zero-carbon pension scheme, discounts with local businesses, and subsidised social activities. Our office first hybrid working policy allows you to work in the manner that maximises your productivity, while still creating a vibrant and collegiate work environment.. We are a social business with regular clubs and events, and we are proud of how our diverse workplace has created a community that is all pushing towards the common goal of making plastic disappear. The role encompasses vision-setting, strategy formulation, and category performance ownership. The role of Edibles Category Owner represents a unique opportunity to lead and shape the category from its foundation, defining business opportunities and driving forward innovation within the edible packaging space. The Edibles Category Owner will act as a steward of cohesive growth and a champion of sustainability and customer experience within this pioneering category. We are looking for a Results driven, collaborative leader who is willing to take on full accountability for the category's success. You will have to be able to combine strategic vision, whilst focusing on measurable goals, using your leadership skills to foster teamwork and align a multifunctional group to achieve its goals. You will need to have prior experience in a Product Manager/Category Owner type role, preferably within the packaging, food or FMCG space. Alongside this you will need to have a demonstrable track record of delivering commercial success, owning the business development process from cradle to grave. You will also need to have strong financial acumen, owning the categories P+L and forecasting models. Alongside all of the above, your day to day responsibilities will include: Oversee the strategy for the entire Edibles product line, balancing short-term execution with long-term growth objectives. Develop and track category KPIs, focusing on measurable outcomes such as product adoption, customer satisfaction, and revenue growth. Identify new business opportunities within the Edibles category, targeting strategic markets and segments. Create and maintain a robust pipeline of leads, transforming prospects into recurring customers. Negotiate and secure long-term agreements with key accounts, ensuring sustained revenue growth and customer retention. Oversee the end-to-end product lifecycle for edible products, from development to launch, ensuring successful execution across all touchpoints, including marketing, pricing, distribution, and customer support. Work closely and collegially with a small but highly skilled team, including a technical project manager and a food scientist, fostering a spirit of collaboration. Collaborate with engineering, chemistry, design, commercial, and finance teams to achieve category goals. Develop and nurture strong relationships with key customers to better understand their needs and create customer-centric solutions. Partner with industry suppliers to ensure a reliable and innovative supply chain for the Edibles category. £45,000 - £60,000 + EMI Share Options

🚀 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 and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ 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/Cardiff/UK Remote | 💰 £86,000-105,000 + | ✨ About us: At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core. Our range of borrowing products are critical to Monzo’s mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster. You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models. Our technology stack We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): • _ for all of our analytics usages, • and for our data modelling and warehousing, • PyData stack for model development and offline deployment, • Google Vertex AI platform for cloud computing, • _ for backend infrastructure, • Python for ML model microservices, • Go lang for most other microservices, • AI toolings for productivity (an evolving list), • Google suites including access to Gemini, • ChatGPT enterprise, • Claude code 🤩 You should apply if: • You are result oriented and motivated by the impact on our customers and business, • You enjoy a high degree of autonomy and thrive in a fast-paced environment, • You are keen to grow your knowledge in both business and technology 📌 You must have: • Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering, • In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc, • Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap, • Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry, • Great attention to details while keeping an eye on the big picture, • Excellent communication skills to articulate complex problems, • Capability to build mutual respect and trust with people of different background Nice to have: • Experience in UK/EU retail lending businesses for personal/business customers, • Experience of ML model governance in a regulated industry, • Experience in leverage modern day AI tools for productivity The Interview Process: Our interview process involves: • 30’ Recruiter Call, • 45’ Initial Call, • 60’ ML technical skill interview, • 60’ Behavioural interview All interviews will be conducted through Google Meet. 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 _ What’s in it for you: 💰 £86,000 to £105,000 ➕ plus stock options & benefits ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London. 🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ⏰ 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 _ #LI-DC2 #LI-Remote 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 , 2024 and 2024 _ 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 😊

Data Scientist 1 day a month in London (expensed) We are working with a networking organisation that specialises in financial services. They are looking to add their first Data Scientist to the team to lead on projects from start to finish. You will build a scoring model to match customers to the client and be able to work closely with stakeholders. You will need: • 3-5 years Data Science experience, • Python & SQL, • Predictive Modelling, Statistical Analysis experience, • Strong communication and stakeholder skills, • Have worked in a small organisation

Description Onera Health is a leader in transforming sleep medicine and remote monitoring. Our breakthrough diagnostic solutions and services are poised to help millions of people struggling with sleep-related ailments, while also impacting other medical fields by monitoring a variety of chronic conditions, ultimately improving the health and quality of life for patients around the world. The company’s innovative solutions provide comprehensive sleep test data to physicians in a variety of clinical and non-clinical environments to optimise patient care and reduce healthcare costs. Onera’s FDA-cleared and CE-marked home polysomnography (hPSG) platform delivers lab-quality diagnostics in the home through a fully integrated “PSG-as-a-Service” model. The UK is a priority market in Onera’s European expansion. In the UK, Onera goes to market through a clinical service provider partner rather than selling direct. The partner brings established NHS relationships and a top-down route into hospitals at executive level; Onera’s Clinical Sales Specialist works alongside them in the field — managing that partnership day to day and building demand from the bottom up at the clinical and departmental level, where sleep diagnostics credibility matters most. This is deliberately not a traditional, quota-closing field sales role. The close is driven through the partner’s executive-level motion. Your job is to create clinical pull — winning the confidence of sleep and respiratory teams, demonstrating the platform, and enabling the partner’s commercial engine — so that demand and adoption build underneath it. Success depends on clinical fluency and partner enablement far more than on personal deal-closing. Key Responsibilities Partner & Channel Management • Manage the relationship with Onera’s UK clinical service provider partner in the field, acting as the day-to-day point of contact and ensuring alignment between the partner’s commercial activity and Onera’s clinical priorities., • Enable and support the partner’s teams — equipping their representatives to position Onera accurately, and complementing their top-down, executive-level route into hospitals with clinical depth from the field., • Coordinate joint account planning with the partner, identifying target hospitals and sleep services and aligning on how each opportunity is progressed. Bottom-Up Clinical Demand Creation • Build demand from the clinical level up — winning the confidence of sleep physicians, respiratory teams, neurophysiology units, and sleep-laboratory staff so that clinical pull supports the partner’s top-down approach., • Engage credibly at peer level with consultants on sleep disorders — obstructive sleep apnoea, central sleep apnoea, narcolepsy, RLS/PLMD, and parasomnias — and on the wider diagnostic pathway (respiratory polygraphy, HSAT, CPAP titration, actigraphy, MSLT/MWT)., • Demonstrate and train clinical staff on the Onera platform unaided, drawing on hands-on familiarity with full diagnostic polysomnography — multi-channel attended studies including EEG, EOG, EMG, ECG, airflow, respiratory effort, SpO₂, and body position — and an understanding of manual sleep staging and event scoring to AASM guidelines, not just auto-scoring., • Build visibility with UK sleep-medicine KOLs and engage with national bodies such as the British Sleep Society and the ARTP. Territory Coverage & Field Execution • Cover the United Kingdom as Onera’s sole field-based representative, prioritising across regions, qualifying hard, and concentrating effort where clinical adoption can build rather than spreading too thin., • Maintain disciplined CRM hygiene and pipeline visibility, self-managing a national field role and giving Onera and the partner a clear, current picture of clinical engagement and opportunity., • Act as the clinical and commercial point of contact in the field, troubleshooting product-related questions and escalating to the appropriate internal stakeholders where needed. Market Intelligence & Collaboration • Track market trends, competitor activity, and customer feedback to inform product positioning and the UK partner strategy., • Collaborate with cross-functional teams across marketing, product, customer success, and clinical to align field activity with the wider commercial plan. Requirements • Clinical sleep background. Formal clinical background in sleep or respiratory diagnostics — e.g. registered sleep/respiratory physiologist, clinical scientist (Healthcare Science), or RPSGT — with the ability to demonstrate and train clinical staff unaided. Strongly preferred; exceptional candidates with deep, hands-on sleep/respiratory diagnostic exposure and genuine peer-level clinical credibility will also be considered., • Clinical credibility in the field. Able to hold peer-level conversations with consultants and clinical teams and to build confidence and adoption at the departmental level., • Commercial or clinical-specialist experience. A track record in a clinical sales specialist, clinical application, or field clinical role in medical devices or diagnostics — or a clinical background combined with clear commercial instinct., • Self-managing field discipline. Comfortable self-managing a national field role with sound CRM and pipeline discipline., • National coverage & travel. Willingness to travel extensively across the UK, with the autonomy to prioritise across regions., • Fluent English and excellent communication and interpersonal skills, with the ability to build trust-based relationships with clinical stakeholders and partner teams. Benefits • Remote / hybrid working model, with the technical equipment to set up your home office, • A competitive compensation package, • An open, collaborative company culture grounded in shared mission and team engagement, • The opportunity to join a scale-up at a defining commercial moment in sleep diagnostics

Description Brego is an automotive technology company using AI and data analytics to help dealerships, lenders, and other industry partners make better vehicle valuation, pricing, and risk decisions. Working at the intersection of software, data, and decision-making, the team focuses on turning complex information into practical products that support smarter outcomes across the automotive market. As a Lead Data Scientist, you will take ownership of the AI (custom neural networks rather than third-party LLM technology) and machine learning capabilities behind products that influence high-value pricing and risk decisions. This is a hands-on technical leadership role where you will be responsible for designing, building, deploying, and continuously improving production machine learning systems from end to end. You will own the full lifecycle of models, from feature engineering and training through deployment, monitoring, retraining, and ongoing optimisation, working independently while collaborating closely with engineering and product teams to deliver measurable business impact. • Own the end-to-end lifecycle of production machine learning models, from problem definition through deployment and ongoing optimisation., • Design, build and deploy artificial neural network and machine learning models for vehicle valuation, pricing and other analytics., • Take responsibility for production model performance, reliability and long-term maintenance., • Evaluate model performance and improve predictive accuracy across production models., • Develop and maintain automated retraining pipelines to keep models effective over time., • Monitor deployed models, investigate issues and implement improvements to ensure models remain accurate and reliable., • Design and run experiments, track results and use data to drive model improvements., • Work closely with engineering and product teams to integrate models into production systems and deliver business value. Requirements Must have: • 5+ years of experience building and deploying machine learning models in production environments., • Strong experience developing and training neural networks for real-world applications., • Strong experience with the Python data science ecosystem, including pandas, NumPy and scikit-learn., • Hands-on experience with PyTorch or TensorFlow., • Strong understanding of machine learning, statistics, and model evaluation methodologies., • Experience taking machine learning models from concept through deployment and ongoing production ownership., • Experience evaluating model performance, improving predictive accuracy, and maintaining retraining pipelines, model monitoring, and experiment tracking., • Experience with feature engineering and working with large, real-world datasets., • Experience writing clean, maintainable, production-quality Python code., • Experience with SQL for data analysis and data manipulation., • Experience deploying ML workloads in cloud environments., • Ability to independently own technical projects and make sound engineering decisions with minimal supervision., • Strong problem-solving skills with the ability to investigate complex data and modelling challenges., • Strong communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders., • Experience collaborating with software engineers, product managers, and data engineers., • Eligible to work in the UK. Nice to have: • Experience in the automotive industry or with vehicle data., • Experience in pricing, forecasting, risk modelling, or other predictive analytics domains., • Experience with MLOps tooling and infrastructure., • Experience building automated data and model pipelines., • Experience mentoring or providing technical leadership to other data scientists or engineers. Benefits • Competitive salary of £90,000 - £110,000 per year, depending on experience., • Private healthcare., • Pension scheme., • Fully remote role with flexible working hours., • Working from home allowance., • Choice of Apple MacBook Pro or high-spec Windows workstation., • Learning and progression opportunities., • Optional access to our Silverstone office. The team usually meets there around one day per week, but attendance is entirely optional., • High levels of ownership and autonomy with the opportunity to shape the company’s AI strategy., • Collaborative, low-bureaucracy engineering culture that values autonomy, integrity and innovation., • Regular company social events., • 25 days annual leave plus 3 additional days between Christmas and New Year.

Senior Machine Learning Engineer UK or Poland (Remote or Hybrid, it’s up to you!) Dependent on experience Be part of our success with the opportunity to join our company equity scheme Our Perks ❤️ Monthly Health & Wellness budget, increasing with length of service Annual Learning and Development budget, increasing with length of service ‍♂️ Flexible working in a choice-first environment - we trust the way you want to work! ️ Work From Home Allowance 25 Holiday Days + your local bank holidays, plus an extra day for every year of service Your birthday off Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave ⚕️ Optional Healthcare Plan Life & income protection (Location dependent) Employee Assistance Programme (UK Only) The opportunity to share in the company’s success through options If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace ‍♀️ The Role ‍♀️ Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We're hiring a Senior Machine Learning Engineer to join the team and help build and ship the next generation of that stack. What you'll be doing: Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack: extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will: Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire. Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons. Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods. Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. Mentor team members, review code and research, and bring relevant advances from the literature into the product. What you’ll need: A deep working knowledge of transformer architectures. Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning techniques such as LoRA Extensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search. Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution. Practical experience building with GenAI and agentic patterns. Excellent communication skills and confidence translating complex technical concepts for non-technical audiences (and vice versa!). Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology. High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward. ➕It would be a bonus if you: MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field. Experience with reinforcement learning techniques, such as with verifiable reward (RLVR) Our Hiring Process Let’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step. Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience. Show us how you work – you'll complete a short take home assignment Get to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams. How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth. Our Values We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively. We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly. We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today! Diversity & Inclusion We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply! #machinelearning #machinelearningscientist #seniormachinelearningscientist #datascience #machinelearningengineer #seniormachinelearningengineer #deeplearning #LLM #ML #data #AI #PyTorch

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)., • Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction., • Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility., • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency., • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)., • Incorporate big data processing scenarios requiring scalable computational approaches., • Verify solutions using Python with standard data science libraries and statistical methods., • Document problem statements clearly with realistic business contexts and provide verified correct answers. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field., • You have at least 5 years of hands-on data science experience with proven business impact., • You have portfolio of completed projects and publications showcasing real-world problem-solving., • You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)., • You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications., • You are proficient in SQL and database operations for data manipulation and analysis., • You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)., • You have good understanding of MLOps practices and model deployment workflows., • You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! We’re looking for a senior Applied Scientist to lead the design and experimentation of Wayve’s core pretraining datasets for foundation models in embodied AI. This is a high-impact opportunity to shape the data that drives model generalization across cities, embodiments, and reasoning tasks. You'll work across research, data, and engineering teams to build world-class multi-modal datasets and define how we evaluate and improve them at scale. • Lead the design, curation, and analysis of large-scale pretraining datasets for embodied AI, • Develop and run data-centric experiments to optimize training effectiveness and generalization, • Collaborate with cross-functional teams in London, Sunnyvale, and Vancouver on data architecture and strategy, • Define and implement metrics and benchmarks to assess dataset quality and model-data interactions, • Contribute to research outputs, tools, and processes that elevate data as a core lever for progress What you’ll bring to Wayve In order to set you up for success as a Senior Applied Scientist at Wayve, we’re looking for the following skills and experience. Essential • 3–5 years of experience post-PhD, or equivalent experience in industry with a focus on dataset design, multi-modal learning, or pretraining, • Strong applied research track record, including publications in venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, or similar, • Hands-on experience curating, filtering, and scaling large datasets (vision, video, or multi-modal) for machine learning models, • Proficiency with machine learning frameworks (e.g., PyTorch) and large-scale data processing (e.g., Ray, Spark, Flyte and other distributed compute infrastructure), • Ability to design and run scientific experiments to evaluate dataset impact on model performance, • Strong communication and collaboration skills, with experience working across technical and cross-functional teams Desirable • Experience with foundation model training pipelines and data selection for large-scale pretraining, • Familiarity with multi-modal, temporal, or sensor-rich datasets (e.g., video, LiDAR, text), • Contributions to benchmark design, data-centric evaluations, or open-source tooling for dataset experimentation, • Attractive compensation with salary and equity, • Immersion in a team of world-class researchers, engineers and entrepreneurs, • A unique position to shape the future of autonomy and tackle the biggest challenge of our time, • Bespoke learning and development opportunities, • Relocation support with visa sponsorship, • Flexible working hours - we trust you to do your job well, at times that suit you and your time, • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more! This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact _. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK. #LI-PRIO As a Lead Data Scientist, you'll take on a pivotal, entrepreneurial role, functioning as the technical expert who thrives on complexity and commercial impact. You will be responsible for setting the technical direction and ensuring the high-quality, scalable delivery of our most challenging, high-impact projects. This position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. Your focus will be on driving innovation, mentoring cross-functional teams, and actively shaping both our technical standards and long-term customer relationships. Setting the technical direction for complex, business-critical projects and expertly balancing trade-offs between speed, innovation, and reliability. Designing and implementing reliable, production-grade technical solutions, ensuring comprehensive documentation of architectures and specifications. Defining project problems, developing clear roadmaps, and overseeing end-to-end delivery across multi-disciplinary workstreams. Leading technical scoping and feasibility studies for high-value sales opportunities and strategic customer engagements. Managing relationships and communications with demanding clients, fostering trust and aligning technical solutions with shared long-term commercial goals. Driving the adoption of best practices, shared resources, and robust technical processes across the wider Data Science craft. Mentoring and developing other data scientists and team members, actively contributing to the growth and technical excellence of the organisation. You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape. You are a skilled technical leader, proficient in mentoring individuals, managing teams (including other managers), and rolling out impactful tools and workflows. You have proven project management expertise, capable of dividing complex, ill-defined problems into actionable, clearly defined workstreams with timelines you can defend. You are adept at managing ill-defined, high-risk tasks, consistently delivering innovative and practical outcomes under commercial pressure. You possess strong customer leadership skills, able to act as a trusted technical advisor and drive long-term strategic relationships with demanding clients. You excel at cross-functional collaboration, effectively aligning technical strategy with Engineering, Commercial (BD), and Infrastructure teams. You have experience extending technical oversight to business unit-level initiatives, using your vision to influence and contribute to organisational success. Talent Team Screen (30 minutes) Introduction to the team (30 minutes) Take Home Technical Assessment Technical Interview (90 minutes) Commercial Interview (60 minutes) We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

About Node4 We are a united force driven by a single ambition; to deliver faster transformation, lower cost, and truly differentiated outcomes - we do this by bringing together our AI Augmented MSP platform, hybrid sovereign cloud solutions, deep Microsoft expertise and the Node4 People We are: Nimble – We focus on what matters most, adapt fast and embrace change Original – We think differently, stay curious and innovate Driven – We are bold, bring energy and own the outcome Engaged – We operate as one, building strong relationships 4 More – We always go further for our people, customers and partners About the role Node4 seeks a skilled Data Platform Consultant with technical expertise, business acumen, and excellent communication skills to deliver innovative data solutions. You’ll understand client needs, design and implement data architectures, and ensure high-quality data services that add business value. Node4 is a growing technology company valuing innovation, client satisfaction, and professional growth. You’ll work on exciting projects, develop skills, and significantly impact client success. We work with diverse businesses, from fast-growing startups to large multinationals across various sectors. In the public sector, we deliver data implementation programmes for Central Government Departments, such as acting as the strategic data partner for the Foreign, Commonwealth and Development Office, and the Ministry of Housing, Communities and Local Government. This experience provides exceptional insight into data-driven decisions in different contexts, supporting strategic decision-making in various settings. Our clients are mainly UK-based. The role is primarily remote, with occasional travel to client sites and our UK offices for team gatherings. We lead our customers on their journey from traditional reporting to discovery and intervention, using business data effectively and surfacing critical information in the right way at the right time, to drive better business outcomes. The successful candidate will be excited by a role in which new challenges are constantly presented for us to solve. The data problems we solve are diverse and evolving, requiring skills to identify, access, explore and query various database platforms, including on-premises SQL databases, IaaS and PaaS SQL, cloud databases, and application APIs. The role demands strong, extensive data engineering skills to extract, transform, and load data from various sources into suitable repositories and models, collaborating with colleagues to solve each new problem. Experience in Microsoft data analytics applications, particularly Microsoft Fabric and Azure Data Services, is needed for data ingestion, transformation, storage, and presentation of impactful data repositories and models. The role mainly focuses on data platform and engineering workloads before visualisation/reporting, blending with our Analytics team to deliver holistic Data and Analytics solutions. Along with these technical skills, excellent verbal and written communication skills are essential. The role involves daily direct communication with clients while designing and implementing data solutions, requiring the ability to build rapport, understand and advise our clients. Key Tasks and Responsibilities Your primary responsibility will be to participate in the scoping, design, documentation and implementation of Data Platform solutions to our clients in a client facing role, and your experience will reflect the necessary consultancy skillsets. Activities you would be expected to conduct include: Conduct workshops with our clients, working closely with your cross-functional colleagues, to understand and capture their solution requirements Producing High-Level Design (HLD) and Low-Level Design (LLD) documentation, to capture client requirements and design the intended solution Implement and configure the designed solutions in accordance with our design and implementation standards, with the support of senior and principal consultants in the practice Provide technical authority in the course of project delivery, working constructively with our clients and project managers Provide pre-sales support to our sales and marketing teams when required, including contributing to bid and tender responses Provide technical assurance/governance to our clients Work as part of a broader technical team delivering large multi technology solutions to our clients, which will include Data and Analytics solutions What will you bring? 5+ years experience with the implementation of data and analytics architectures and data modelling Experience of (and an appreciation of the importance of) writing high quality, detailed technical documentation Demonstrable experience of working with Microsoft Data & AI products, such as Azure Data Services (Synapse, Data Factory, Data Lake, SQL, Analysis Services) Microsoft Fabric, and Power BI Experience of IaaS/on-premises equivalents of the above workloads is valid, such as SSIS, SSAS, SSRS Databricks (desirable) Demonstrable experience of working with query languages within these workloads, such as Transact-SQL to a highly proficient level Data transformation expressions in Data Factory/Synapse (desirable) Power Query M and DAX (desirable) Python; PySpark (desirable) Proven experience in a client facing data consultancy role designing, implementing, and supporting data solutions Ability to lead business and technical discussions Self-driven ambition to deliver excellence in collaboration with your team, with a drive and desire to learn and develop Strong problem-solving nature, with the ability to examine a problem and involve the appropriate people at the appropriate time Must hold or be able to successfully achieve and maintain Non-Police Personnel Vetting (NPPV3) status, and national Security Check (SC) clearance Desirable Skills Hold or be capable of obtaining role-relevant Microsoft certifications such as Fabric Analytics Engineer Associate Azure Data Engineer Associate Power BI Data Analyst Associate Azure Data Scientist Associate Experience with using Python for appropriate data engineering workloads Experience with configuring and implementing Microsoft Purview as part of a data platform solution Experience with delivering data solutions through Databricks, and configuring and implementing the Unity Catalogue Knowledge/experience of Dynamics Business Central/NAV, Finance and SCM, and other Microsoft Business Applications database structures What can we offer you? Hybrid Working Private Medical Insurance or Company Paid Health Cash Plan Employee Assistance Program 25 days holidays plus your birthday off Option to purchase additional holiday (up to 5 days) Company Pension Scheme Life Assurance x 4 A diverse workforce Employee investment with Node4 training Academy Family savings and shopping discounts through the Node4 benefits portal. Discounted Gym Membership Modern facilities with open and welcoming breakout areas Company Social events Never ending supply of hot and cold drinks, biscuits, sweets, and fruit Why join Node4? Founded in 2004, Node4 has experienced exceptional growth and success over the years. From an office in Derby to locations nationwide and beyond. From three people to a workforce of over 900. We believe that our people are the driving force behind our success. We are a vibrant, passionate, and diverse team committed to providing exceptional service as standard. Node4 is the place to be if you are passionate about technology and providing exceptional service while developing your career within a welcoming and evolving company. TAKE A LOOK AT _

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A global leader in digital transformation is seeking a Senior Data Scientist Consultant to work with public sector and enterprise clients. You will identify high-value AI use cases, design and deliver data solutions, and operationalise models at scale.

Bank of England’s Financial Stability Strategy and Risk (FSSR) is seeking a Lead Data Scientist to drive data science and AI capabilities across the directorate. You will lead cross‑directorate projects, mentor staff, and embed responsible AI practices while aligning with Bank-wide cloud and dat

Leeds Teaching Hospital NHS Trust, based in Leeds, seeks two Clinical Scientists to support radiotherapy imaging and treatment planning within the Radiotherapy Physics Section. You will contribute to safe, high-quality radiotherapy services across imaging and planning, working with physics, radiogra

Lead Data Scientist , you'll play a key role in shaping and delivering.Data Science strategy, helping us unlock the value of our data to drive business performance, innovation and customer experience.Holiday House in Leeds City Centre , this is a hybrid role, giving you the flexibility to work from

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Trainee Data Scientist program offering full training and a job guarantee upon completion.Learn Python, R, Machine Learning, AI, and gain certifications.

Seeking a Data Scientist for a fully remote UK role to build and deploy machine learning models in live products, work with large datasets, and collaborate with engineering and product teams to deliver impactful solutions.

Specialist Biomedical Scientist - HCA Laboratories. Specialist Biomedical Scientist - Haematology. We're looking for a Specialist Biomedical Scientist to join our Haematology team at HCA Laboratories at Shropshire House in London.

Along with our Lead Data Scientist, our Data Scientists serve as our primary delivery resource for consulting, study-design, analytics/ML and statistical inferencing. As aData Scientist,you will work with our partners to design, develop, and deploy production-grade solutions to social good problems.

Data Science Festival is seeking a Staff Data Scientist based in London, offering a salary of £120K – £140K plus equity.

Inworld, a pioneering AI research lab in the UK, seeks full-time candidates with strong foundations in AI models and evaluations.Ideal applicants hold a PhD or have equivalent experience, particularly in realms of multimodal models and published research.The position offers a competitive salary rang

Wise is a global technology company, building the best way to move and manage the world’s money.Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.A

Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second.We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins,

Collaborate with an interdisciplinary team of dry and wet lab scientists to inform and improve our models and systems.

They are now looking for a Staff Data Scientist to lead the development of geospatial and movement intelligence products that sit at the heart of the business.

As Principal Data Scientist, you will be the technical authority for CoMind's data science function, setting methodological direction for signal extraction and ML modelling, personally driving the most complex and highest‑impact problems, and providing expert guidance across the team.

Klarna is seeking a Lead Data Scientist to shape the next generation of consumer-level credit scoring and portfolio valuation models.

GSK is seeking an Interventional Study Scientist Medical Director to lead the scientific design and execution of interventional clinical studies within Medical Affairs.

Lead the design and execution of experimentation frameworks, including geo-based and holdout incrementality testing, to rigorously validate marketing investment decisions at scale.Evolve the organisation's Marketing Mix Modelling (MMM) capability, including model development, calibration, and transl

We're looking for a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You'll operate as a force multiplier – solving the hardest problems, building the frameworks others reuse, and levelling up data scientists across teams.

Dex in London is seeking a Staff Data Scientist to lead the data strategy and product impact, combining hands-on ML with cross-functional leadership to optimize user incentives and scalable analytics.

A fast-scaling RegTech startup is seeking a Senior AI Engineer to ensure the quality of AI outputs and design cutting-edge solutions.This role requires a proven record in delivering impactful ML/AI solutions and deep expertise in Python and modern frameworks like PyTorch and TensorFlow.The ideal can

Ripple is seeking a Staff Data Scientist to serve as the technical lead across its product and business portfolio.

Senior Data Scientist to lead advanced optimisation projects and shape robust ML architectures that improve payment flows.

Sony Interactive Entertainment in London is seeking a Senior Data Scientist focused onPlatform Economics and Simulation.

As Principal Data Scientist, you’ll set methodological direction for signal extraction and ML modelling, driving the most complex, high‑impact problems and guiding the team’s approach.

A major international transport company is seeking a Senior Operations Research Data Scientist for a contract role focused on optimising logistics and operational efficiency.