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Join Ivy Farm Technologies as a Research Associate / Associate Scientist / Scientist I – Help Shape the Future of Sustainable Food! At Ivy Farm our mission is to create the world’s best guilt free and sustainable meat, it’s cultivated meat, just like real meat, only made differently - and we’re super excited by it. Were a fun and humble community of 40+ technical and scientific crew; a team where you can make a true difference to animal well-being and global sustainability. We're looking for a variety of levels of experience - so come and talk to us you never know where this may lead! Your Purpose: The purpose of this role is to conduct scientific work to support the development and production of animal-derived mammalian cell lines for cultivated meat. Key Responsibilities - to give you a flavour - but of course not limited to: Joining the Cell Biology Team, you will: • Culture mammalian cells in suspension across a range of small-scale models, including shake flasks, AMBR15 and (where applicable) bench-scale bioreactors up to ~3L, • Contribute to the development and optimisation of cell culture media to support cell line and bioprocess performance, • Culture cell clones through a cloning pipeline, • Characterise cells through a range of techniques including imaging, PCR and flow cytometry, • Design, plan, and execute R&D experiments, ensuring deliverables are met within timelines, • Document research findings clearly and traceably in an electronic lab notebook, • Communicate regularly in group meetings and prepare and deliver presentations to the project team and internal stakeholders, • Along with team members, provide routine laboratory maintenance, including equipment upkeep, cleaning rotas and consumables stock management, • Share responsibility for out-of-hours cell culture maintenance, • Ensure laboratory health, safety and quality procedures are followed, • Select, follow, and adapt experimental protocols and generate laboratory SOPs, • Support the preparation of laboratory risk assessments and maintenance of health and safety protocols, • Maintain the confidentiality of the project and protocols, • Keep abreast of current technologies and relevant scientific literature to identify opportunities for improvement and cost reduction This role might be for you if you have: • Experience in mammalian cell culture, with knowledge of cell metabolism and development, • Experience of aseptic technique, • Experience in cell line development and subcloning techniques, • Experience in cell culture media development and/or optimisation, • Experience in molecular biology techniques such as PCR, qRT-PCR, Western Blot, flow cytometry and imaging, • Basic understanding of CRISPR knock-out technology and its application to mammalian cell line engineering, • Ability to work independently and as part of a team, • Skilled in troubleshooting and conducting multi-factorial experiments, • Good numeracy, computer and communication skills The skills that you’ll bring, aka: Qualifications / Requirements: Essential qualifications: • BSc/MSc in Biochemistry, Molecular Biology or related field, • BSc/MSc with two or more years of post-doctoral or industry experience in mammalian cell line development, cell culture media development, and/or bioprocess development Other experience you may have: • Hands-on experience with the AMBR15 micro-bioreactor system, • Experience operating bench-scale stirred-tank bioreactors (up to ~3L) for mammalian cell culture, • Experience with automation and high-throughput technologies applied to mammalian cell line generation, • Application of Design of Experiments (DoE) to rationalise experimental design, • Experience writing SOPs and risk assessments, • Proven experience in statistical experimental design, data analysis and multi-step optimisation, • Ability to apply mathematical characterisation to biological processes To be an Ivy Farmer, we need you to have/be: • Enthusiasm and initiative, • Comfortable in a fast-paced environment, • Attention to Detail: Commitment to ensuring high standards are met, • Analytical Skills: Strong ability to analyse data and spot trends, • Problem-Solving: Skilled in identifying and resolving issues quickly – innovative and lateral thinking, • Confident communicator, both written and verbal, happy to work with a team in a matrix structure or alone to achieve deadlines, • Excellent time-management & organisational skills Why Ivy Farm? At Ivy Farm, you won’t just be part of a company - you’ll be part of a movement. We’re driving innovation that will change the future of food, and we need visionaries like you to help us get there. We offer competitive compensation, opportunities for career growth, and the chance to work on something truly groundbreaking. We’re an innovative bunch, with a can-do attitude and one that’s unafraid to think differently. We also have project targets, compliance expectations and – as in any fast-growing business – sometimes competing priorities. That’ll be something you have not just experienced previously but somewhere you thrive. We’ll be looking to you to share your expertise and experience with the team. We also realise this may well be your first venture into cultivated meat – and that’s absolutely fine – we have a great team that will be excited to help you get to grips with that. So, if you’re ready to join an emerging groundbreaking industry, that’s both able to think differently and actively looking to do so, and one where you can make a difference to animal well-being and sustainability then we’re waiting to hear from you! And just to confirm, here at Ivy Farm, we're an employer that believes in creating a workplace where everyone feels included and valued, no matter who they are. Total Package: These roles are initially on a 12-month fixed term contract basis. At Ivy Farm, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role. You will also be eligible for: • 25 days annual leave + bank holidays, • Company pension contribution 5%, • Private health care from day one, • Shares, • Company Bonus, eligible from day one, • Oodles of amazing fresh ground coffee, tea and snacks, • Company events, • Fabulous super cool office environment, we’re biased, but let’s face it – it’s cool (no agencies, thank you)

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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

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Coach – Applied AI Engineering (Level 6) | Machine Learning Remote | National travel required Corndel is a multi award‑winning UK training provider delivering high‑quality management and technology programmes with leading organisations. We’re growing fast and are passionate about transformational learning that empowers people to be their professional best. The Role We’re looking for an Applied AI Engineering Coach (Level 6) to support apprentices on our AI Engineer / Machine Learning apprenticeship programme. This role suits an experienced AI Engineer, Machine Learning Engineer, or Data Scientist who enjoys coaching others and enabling the responsible application of AI in real business environments. You’ll combine strong technical expertise with a coaching mindset—helping learners apply AI confidently, ethically, and effectively at work. What You’ll Do Coach and mentor a caseload of Level 6 AI Engineering apprentices Deliver engaging 1:1 coaching, workshops, and group learning Support learners across the full machine learning lifecycle, from problem scoping to deployment and monitoring Guide learners through End Point Assessment (EPA) and portfolio development Promote responsible AI, ethics, security, and governance Collaborate with employers and internal teams to ensure high‑quality learner outcomes What You’ll Bring Applied experience in machine learning, AI engineering, or data science Hands‑on experience with production ML systems Strong Python skills and experience with tools such as: scikit‑learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face / generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity to shape AI and ML capability across the UK Inclusive, values‑driven culture focused on quality and impact Apply now if you want to use your AI and machine learning expertise to make a meaningful impact through education. As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer. As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview, in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer. If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. We’ll work with you to make sure any appropriate support is in place and make the application process a more positive experience. Corndel is committed to safeguarding and safer recruitment practices, and will undertake pre-employment checks on the successful candidate, including DBS Disclosure. For more information contact _

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. We’re looking for AI Trainer – Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation) Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review) Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth General AI Training Model Evaluation and Evals Trust and Safety Red Teaming Quality Analytics Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation) Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. _ _ By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's _ explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

At Faculty, we transform organisational performance through safe, impactful and human-centric AI.With more than a decade of experience, we provide over 350 global customers with.Fellows from our award winning.Our expert team brings together leaders from across government, academia and global tech gi

Are you a Geospatial Data Engineer Volunteer wanting to use your skills to help people in a humanitarian crisis and ultimately help save lives? MapAction can enable you to volunteer to do just that. Volunteers have been the heart of the MapAction for over 20 years but the range of skills needed continually evolves. Now we are looking for a enthusiastic Geospatial Data Engineer professional who has a desire to commit to a great team, and to help MapAction make a difference that has a lasting effect on vulnerable communities. MapAction works with a range of humanitarian partners, from local organisations who are closest to the ground to a range of global UN partners. Come and be part of something that is exciting and impactful! Why MapAction? MapAction is a leading humanitarian mapping charity, delivering information services and products to enhance decision making in disasters and conflicts. In collaboration with our partners, this mapped information helps responders understand vulnerabilities and target their response effectively, contributing to saving lives and minimising suffering. We work through a team of skilled volunteer professionals and a small paid staff team. We have built a strong reputation in the humanitarian sector, and are a technical partner of the United Nations, Non-Government Organisations and Civil Society Organisations, the Red Cross, Red Crescent Movement, regional entities and national authorities. The humanitarian sector is evolving, and technical expertise such as GIS, mapping, information management, data processing and visualisation are becoming increasingly utilised for improving decision making in complex humanitarian response. MapAction and our partners are uniquely positioned to provide technical expertise in support of this. As a volunteer, we will be able to work with technical staff and volunteers on different opportunities. Once your onboarding is complete, you will be able to choose the tasks and projects that best fit your skillset and interests. Here below some activities that our data engineer volunteers can support with: • MapAction external projects that require a Data Engineer skillset (e.g.: data pipeline automation, hazard exposure platforms, multi-risk models, conflict incident reporting, etc…), • Work with external partners such as UN agencies, International NGOs and Academic Institutions, • Conduct and automate data collection and processing scripts, • Create and maintain optimal, performant data pipeline architectures, both internally and externally, • Propose improvements to infrastructure, schemas, platforms, toolchains and configurations, • Assist in the automation, provision and management of development environments, source-code, build-tools, pipelines and deployments, • Support ad-hoc Data Processing during MapAction’s Emergency Responses in collaboration with MapAction’s GIS team, • Support internal systems maintenance in collaboration with MapAction’s IT Support Engineer, • Attend and / or represent MapAction on technical conferences, • Train other volunteers or external organizations on Data Engineer tools and processes What are we looking for? If you feel you are a good match but do not feel like you meet all the requirements, we are still happy to receive your application! The core skills we look for in all of our team members are the following: • A desire to use their skills, experience and dedication in the cause of humanitarian ends, • Good team player with leadership and/or project management experience or ambition wherever possible, • Exceptional communication skills, to explain your work to people who don't understand the mechanics behind data analysis, and experience in understanding partner needs and requirements, in particular working with non-technical clients, • Adaptable, resilient and solution-oriented, • Self-motivated and organised, • Time to commit to MapAction, for more details on the time commitment, please refer to the “What does it mean to be part of the MapAction team?” Essential: • Degree or equivalent experience in the field of Data Science, Data Engineering, Computer Science, Software Development, Information Technology or a related field, • Three or more years of professional experience working in a data or information management team, as a data engineer, data scientist, developer or other similar role, • Experience and proficiency working with Python and Jupyter Notebooks, • Data pipeline design skills, • Knowledge of cloud platforms like GCP, AWS or Azure, • Experience and understanding of CI/CD pipelines, • Project management experience. Experience in understanding partner needs and requirements, in particular working with non-technical clients., • Collaborative code management using Git & GitHub Desirable: • Experience of participating in a volunteer organisation or open source projects., • Experience with QGIS or ArcGIS, • Experience working with geospatial data (raster and vector), • Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs), • Experience with Systems Engineering, • Understanding of the Software Development Life cycle, • Thorough grounding in containerisation e.g. Docker, Kubernetes, • Shell scripting, • An interest in software-engineering or data-science e.g. ML / DL / AI / Statistics, • Humanitarian knowledge/experience What does it mean to be part of the MapAction team? Being part of MapAction means entering a close-knit community of highly skilled and committed and experienced professionals in different sectors. It means using your unique skills to help prepare for, anticipate, or respond to humanitarian emergencies, enabling our partners to provide life-saving support. At MapAction, training and team building are at the heart of our organisational culture. We have frequent meet-ups online and in person where paid staff and volunteers get together for training opportunities and skill-sharing, to strengthen our service offer. As a volunteer, you can participate in all levels and areas of the organisation, working alongside our colleagues at various UN agencies and/or other humanitarian partners. Volunteers also steer the organisation's strategic direction and are involved with designing and implementing our operational capacity. You will have the opportunity to travel, whether that’s at training events, project work abroad, missions or representing MapAction at a conference. Availability for projects, including in-person deployments • MapAction expects a high level of commitment by volunteers to make themselves available to deliver projects, whether these projects are planned or emergency missions, remote or in-person, one-off tasks or longer term commitments., • Deployable volunteers are expected to seek a commitment from their employer (if applicable) to permit time off (paid or not) for deployments when necessary., • For emergency deployable volunteers, there must be arrangements in place for a quick decision to be taken on availability, including agreement from employers/family if required, in the event of all alerts. This should normally be within 12 hours of the issue of the alert, depending on time-zone., • For non-emergency deployments and projects logged on the tasking grid, volunteers must respond to a request for assistance (whether yes or no) by the deadline specified on the grid., • Volunteers are expected to put themselves forward for at least three substantive (i.e. at least two days work) tasks every year, and are normally expected to contribute at least 10 days of voluntary effort (excluding training) to MapAction every year., • It is the duty of all volunteers to do their best to make themselves available for any opportunity relevant to their volunteer role, and avoid perceptions of volunteers selecting only more ‘attractive’ tasks or missions. It is essential that MapAction is able to deliver on all tasks it commits to, and it relies on volunteers to be prepared to step up for a wide range of activities. As a member of the team, you will be expected to participate in at least 6 internal weekend training events. This must include our annual simulation exercise, which all volunteers are required to attend. Other weekend training events include 6 annual training weekends where we get together in person at various locations around the UK, and 4 online development days. Volunteers should live either within the UK or within reasonably easy and affordable reach of the UK in order to be able to attend face to face training events. Equal Opportunities Statement We are committed to creating an inclusive environment and welcome applications from people of all backgrounds, communities, and experiences. We value diversity and are dedicated to providing equal opportunities regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Selection for volunteer roles is based solely on an individual's skills, experience, suitability for the role, and commitment to our values. Notable Dates for volunteer process: Closing date - 19th July 2026 If successful after evaluation - test - week of the 27th July 2026 Attendance for Interviews online - week of the 12th August 2026 Attendance for final round in person - 12th September 2026 Unfortunately we are unable to accommodate anyone who can not meet these dates.

StackOne is the universal integration layer for modern SaaS products. We’ve raised $24m in 2 years, and we’re backed by top tier investors like Google Ventures and Workday Ventures. Our unified API platform lets vendors ship hundreds of native, white label integrations in days, not months, by abstracting away dozens of disparate third party APIs into a single, normalized interface. On top of those APIs, we provide AI Agent Actions so customers can build agentic workflows without wrangling OpenAPI specs. StackOne sits behind the scenes as an embedded iPaaS: SOC 2 compliant, multi-tenant, and invisible to end users powering integrations for future-of-work SaaS categories such as HR, Compliance, and AI Agents. Our customers are established B2B SaaS companies that: Sell to mid market and enterprise buyers Are building AI Agents in the near future Need deep, native integrations to win competitive deals and power their product Value time to integration over building connectors in house We typically close OEM and embedded licensing deals, multi-year (1 to 3 year) contracts, five to seven figure TCV, with a strong land and expand model. Key buyer personas are the CPO and CTO. We are looking for a Software Engineer or Data/AI Scientist with a strong background in AI production-grade applications with strong experience with LLM models (eg: GPT, Anthropic and others). In this role, you will conduct research and development around AI, focusing on automating processes and development at StackOne. We're building a world where users of any SaaS can integrate with the tool of their choice in one click thanks to StackOne. We're convinced AI is pivotal to making this a reality by transforming how SaaS talks to each other and this is what you will help achieve. Research, design, and develop AI models using or training existing or bespoke LLM models (and other AI tech) to improve and automate API & more generally SaaS interactions. Managing and updating Data pipelines used for AI use-cases Collaborate with cross-functional teams to identify opportunities for AI integration and automation Optimize and refine existing AI models and applications for performance and scalability Stay current with advancements in AI and LLM technologies, applying new knowledge to StackOne's AI strategy Implement best practices in AI development, ensuring compliance with data privacy and security regulations Document and communicate research findings and development progress to stakeholders Collaborate with other software & AI engineer(s) to deliver larger scale projects Bachelor's degree in Computer Science, Engineering, or a related field (or 3+ years of relevant experience) Familiarity with API development, integration, and SaaS platforms Past experience with AI, specifically Large Language Models and related technologies Excellent problem-solving and analytical skills Strong communication and collaboration abilities Desire to work in a fast-paced, dynamic startup environment Preferable: You’re familiar with Typescript You’ve deployed or managed infrastructure on AWS You will have a lot of freedom and agency to chose and work with the technologies you love. Our tech stack includes: Infra & monitoring: AWS (ECS, RDS, Elasticache, Lambda etc.), Tinybird, Modal, Dagster, Langsmith, Datadog, Sentry, _ Languages & Frameworks: Typescript (Node.js), NestJS, Rails, React, Svelte, Other day-to-day Tools: Postman, Notion, Slack, Jira, Github and more StackOne is one of the fastest-growing embedded integration platforms. Here’s why: It drives down the cost of building integrations by 10x. To add dozens of integrations, you only need to integrate once with our unified API and we take care of the rest. This is way faster, cheaper, and more reliable than building every integration to each tool one at a time (it can take weeks/months per integration). It has a superior architecture: Unlike other Unified APIs, we developed an innovative, fully real-time architecture that does not store their customers’ sensitive data by default. This enables our customers to differentiate themselves on the market with better integrations: better for privacy, better for their product’s user experience, and deeper read/write integrations. StackOne is a better long-term partner: We are the only integration platform to guarantee new integrations as standard, that offers so many sandboxes to support testing and deploying faster, and that has built a strong partnership ecosystem to enable our customers to develop stronger commercial partnerships. 25 days holiday + 1 additional day holiday per year of tenure Participation in the company’s employee share options plan Private health insurance (including dental & optical) Health, fitness and gift card discounts £1,000 for your home office set up + £500/year top-up Paid lunch in the office Annual team offsite to sunny spots (last ones were in Spain and Portugal ☀️) Join one of Europe’s fastest-growing startups Work with a veteran team of ex-employees of Google, Microsoft, Oracle, Coinbase, JP Morgan and more Cycle2Work and Electric Cars scheme Hybrid work set up - typically 2d in the office Ready to help us change the game for SaaS integrations? Get in touch and let's chat! We believe diversity drives innovation. We encourage individuals from all backgrounds to apply. As an equal-opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.

Sika is a specialty chemicals company with a globally leading position in the development and production of systems and products for bonding, sealing, damping, reinforcing, and protection in the building sector and industry. Sika has subsidiaries in 103 countries around the world, produces in over 400 factories, and develops innovative technologies for customers worldwide. In doing so, it plays a crucial role in enabling the transformation of the construction and transportation industries toward greater environmental compatibility. In 2024, Sika’s around 33,000 employees generated annual sales of CHF 11.76 billion. Join us as IT Access Engineer and help implement, automate, secure and improve our access management solution for Nuage - Sika’s global custom-built R&D data platform! In this role you will be part of a fast-growing Global R&D Digitalization team, transforming how our global R&D function develops and working on wide range of topics - from using traditional data science techniques to optimising operational efficiency along with state-of-the-art AI solutions to identify novel construction materials. This role is designed for remote working with occassional trips to Welwyn Garden City. Your main tasks will be: • Automate and streamline communication between cloud and on-prem systems., • Manage, test and debug user access groups., • Identify and fix security vulnerabilities in the access setup., • Higher education or proven track record of relevant working experience, • 2+ years of working experience with production software in the role of Software Engineer, Software Architect, Data Engineer, Data Scientist or similar, • Excellent knowledge of Python and Java, • Strong understanding of data security principles, • Experience with REST or GraphQL APIs, • Good knowledge in least one of: Microsoft Azure, ITIL, agile work practices and/or web platform management, • Effective verbal and written communication skills, • Excellent capacity to prioritise work Preferred • HTML/JS knowledge, • RAG and Jira/Confluence knowledge Benefits: • Competitive salary, • Holiday 25 days rising to 28 days with service, plus bank holidays, • A company pension contribution of up to 10%, • Private healthcare for you, with option to add family, • Group life cover at 6x your annual salary, • Group Income Protection (PHI) We offer competitive salaries, aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position, education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.

We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one. If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you. We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models — from classical statistics and gradient-boosted methods through to deep learning when warranted — that turn satellite, radar, and LiDAR observations into defensible, plot-level intelligence on the world's commodity supply chains. You will work across the full lifecycle — from research and prototyping through to validated, productionised models. A meaningful fraction of the team's work centres on building lightweight downstream models — classifiers, regressors, similarity-search workflows. Likely focus areas for this role include: Commodity and plantation mapping by region - palm oil, cocoa, coffee, rubber, soy, timber and similar - in support of EUDR compliance and supply-chain due diligence. Forest degradation and biomass / canopy-height estimation from multi-sensor fusion. Develop ARR feasibility models that fuse climate, soil, and remote-sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Design, train and evaluate ML models - from gradient-boosted methods to CNNs, U-Nets and vision transformers - for commodity and plantation mapping, land-cover classification, change and disturbance detection, and biomass / canopy-height estimation. Build embedding-driven workflows on top of EO foundation models - few-shot classifiers, similarity search, downstream regressors. Design validation strategies that benchmark outputs against plot inventories and third-party reference datasets, quantify uncertainty, and surface failure modes; produce QA artefacts (maps, plots, model cards, error analyses) that internal teams and clients can trust and defend. Partner with Engineering to take models into scalable, reproducible inference pipelines across millions of plots, and contribute to a strong research culture across Science, AI and Engineering - reviewed code, shared tooling, and active engagement with EO/ML literature. Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine-learning experience, including time spent in an industry, product, or startup setting i.e. shipping models. Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL, and the STAC ecosystem. Hands-on experience training, evaluating, and debugging ML models across the modern Python stack - deep learning (CNNs, U-Nets, vision transformers) using PyTorch, as well as classical methods (gradient boosting, random forests) with scikit-learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor-specific quirks that matter for modelling. Comfortable with Git, cloud compute (AWS or similar), and collaborative codebases. Clear written and verbal communication: can explain modelling choices, uncertainties, and trade-offs to scientific and non-scientific stakeholders. Domain exposure: deforestation, land-use change, biomass / canopy-height estimation, climate risk, or supply-chain transparency. Experience using EO foundation models as a downstream substrate - building lightweight classifiers, regressors, or similarity-search workflows on top of frozen embeddings (e.g., AlphaEarth Foundations, Clay, etc). Comfortable fine-tuning or pretraining where the case justifies it. Multi-modal fusion experience - combining optical (Sentinel-2, Landsat), SAR (Sentinel-1, PALSAR), and/or LiDAR (GEDI, ICESat-2) into unified predictions. Time-series modelling for environmental change detection - temporal transformers, sequence models, or self-supervised approaches. Comfortable building with AI-assisted development tools as a core part of your workflow. Familiarity with Google Earth Engine, Microsoft Planetary Computer, AWS Open Data, or other STAC-based catalogues. Experience working in cross functional teams working alongside solutions architects, sales, and engineering. You’ll report to the Science Team Lead and partner day-to-day with the wider Science Team while working closely with Engineering and Product teams. This is a Science Team role with regular touch points with Engineering and Product - the interview process gives you a chance to meet your immediate team and a couple of key partners. Recruiter screen (30 min) Hiring manager (45-60 min) Science Team technical interview (45 min) Engineering and/or Product interview (30 min) Potential in-person problem-solving session with the team - designed to be interactive and a glimpse of what being part of the Science Team will be like! Accessibility: Tell us if you need adjustments, we’ll accommodate. What you’ll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you. Learn more about how we think and build Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera _ for technical deep dives, research and product perspectives. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our _.

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: • Orchestration Platforms: Apache Airflow, Dagster, Prefect, • Transformation Tools: dbt, SQLMesh, • AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. • Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design, • Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards, • Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications, • Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback, • Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities, • Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows, • 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer, • Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation), • Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries, • Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect), • Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation, • Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases, • Solid experience with concurrent Python: threading, multiprocessing, and async patterns, • Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities Bonus points for: • Experience deploying AI/ML models in production, including inference APIs and vector databases, • Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role, • Familiarity with ClickHouse or similar high-performance OLAP platforms, • Familiarity with the JVM ecosystem Eligible locations: • USA, • Canada, • UK, • Portugal, • Spain, • France, • Italy, • Germany, • Netherlands, • Poland, • Czech republic, • Israel, • UAE For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed. These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments. An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization. If you have any questions or comments about compensation as a candidate, please get in touch with us at _. • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries., • Healthcare - Employer contributions towards your healthcare., • Equity in the company - Every new team member who joins our company receives stock options., • Time off - Flexible time off in the US, generous entitlement in other countries., • A $500 Home office setup if you’re a remote employee., • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. Culture - We All Shape It As part of our first 500 employees, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values . Check out our or follow us on _ to find out more about what’s happening at ClickHouse. Equal Opportunity & Privacy ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see _ for our Privacy Statement.

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 innovate, build and deploy respon

This role focuses in particular on our pricing product suite, applying leading statistical, machine learning, and AI techniques to deliver innovative solutions for fuel pricing while contributing to the technical excellence of the Data Science Research team. We serve decision makers across location

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 st

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.

We are recruiting for a Contract Data Scientist to start ASAP.Ideally based in Manchester and comfortable with working central US time zones.AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap.We’ve been helping organisations buil

RISK DATA SCIENTIST (ESG & Supply Chain).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.I'm worki

Reporting to the CSO, you will provide scientific and strategic leadership for antibody drug discovery at Nucleome Therapeutics as the company enters a pivotal phase of pipeline expansion. This role will establish and accelerate biologics capabilities aligned with Nucleome’s proprietary genetics and 3D gene regulation platform, helping translate first-in-class targets into a growing portfolio of therapeutic programmes. We are looking for an experienced antibody discovery leader with a strong track record of advancing biologics from target concept through to clinical candidate selection. Working closely with platform biology, translational, and executive teams, you will shape discovery strategy, guide programme decisions, mentor scientists, and oversee external partnerships to ensure high-quality, data-driven delivery across the biologics portfolio. • Provide strategic leadership for antibody discovery and engineering, establishing biologics capabilities aligned to the company’s genetics platform and pipeline priorities., • Lead programmes from target validation through candidate nomination, defining discovery and engineering strategies, guiding experimental design, and driving key scientific and go/no-go decisions., • Evaluate target tractability, programme feasibility, and scientific risk, providing rigorous, data-driven recommendations to support portfolio prioritisation and investment decisions., • Partner closely with immunology, functional genomics, translational, and platform biology teams to integrate biological insight into antibody discovery and development strategies., • Design and oversee screening cascades and assay strategies for functional and biophysical characterisation of antibodies, including binding, kinetics, mechanism of action, and developability assessment., • Provide oversight and scientific direction to CROs and external collaborators, ensuring work is delivered to a high standard and in line with programme objectives and timelines., • Contribute to the growth and development of internal scientific capability through mentoring, coaching, and supporting high-performance delivery across discovery teams., • Work closely with senior leadership to shape the future direction of the biologics portfolio and support the successful expansion of therapeutic programmes across the organisation., • PhD-trained scientist, or equivalent industry professional, with substantial leadership experience in antibody discovery, biologics drug discovery, and antibody engineering within a biotechnology or pharmaceutical environment., • Deep expertise in end-to-end antibody discovery and engineering, with a strong track record of leading programmes from target validation through candidate selection and shaping scientific strategy in a fast-paced biotech or pharmaceutical setting., • Experience leading CROs, external collaborators, and cross-functional partnerships to deliver biologics discovery programmes effectively and to a high scientific standard., • Strong experience in designing and implementing antibody screening and characterisation strategies, including functional, biochemical, and biophysical assays such as ELISA, SPR/BLI, and cell-based assays., • Solid understanding of protein expression, developability, and analytical assessment, including stability, aggregation, manufacturability, and readiness for downstream CMC activities., • Experience applying in silico or computational design approaches to antibody engineering would be advantageous., • Demonstrated ability to drive process and system improvements, identify opportunities for change, and adopt new technologies to enhance efficiency, quality, and ways of working., • Proven ability to interpret complex data sets and make robust, data-driven go/no-go recommendations to support programme progression and portfolio decision-making., • Strong communication, influencing, and leadership skills, with the ability to work effectively across scientific disciplines and engage credibly with senior stakeholders and executive leadership., • A proactive and enthusiastic self-starter with a strong work ethic and a commitment to scientific excellence., • A hands-on, pragmatic approach, with the flexibility to contribute wherever needed to support the wider business. #J-18808-Ljbffr

Corehr is seeking a Postdoctoral Data Scientist for the Global Jet Watch at the University of Oxford’s Department of Physics. This full-time role involves verifying and processing data from seven robotic observatories worldwide and engaging in spectroscopic and photometric research. Applicants sho

Alignerr is seeking a Data Scientist (Masters) to shape advanced AI systems through innovative challenges and rigorous solutions. This remote role involves designing complex data science problems and auditing AI-generated models for accuracy and efficiency. The perfect candidate will hold or pursue

Contribute to the design and evolution of data systems—ensuring data is accurate, reliable, and efficiently processed across diverse tech stacks. Ensure data correctness and scalability. Work closely with software engineers to validate data, define metrics, and improve the robustness of reporting

Prolific in Oxford is seeking Data Scientists and Data Analysts to join our Expert Network for training and evaluation of AI models. Ideal candidates will have a BS, MS, or PhD in Data Science or a related quantitative field, with practical experience in data analysis and machine learning.

The ideal candidate will hold a Master's degree in a numerate field and possess significant data analysis experience, particularly in Python. Corehr is seeking a Data Scientist to join a dynamic team at the Pandemic Science Institute in Oxford. This role involves designing and improving tools for ca

Bending Spoons is seeking a talented individual to design and improve data pipelines, ensuring accuracy and scalability.You will work with software engineers, develop internal data products, and support decision-making with analytical insights.The position offers an exceptional opportunity for caree

Ideal candidates will have senior-level experience in regulatory submissions, deep clinical data expertise, and the ability to provide feedback that enhances AI's understanding of clinical evidence. Alignerr is seeking a Principal Clinical Scientist to design clinical trial protocols and evaluate AI

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

Lead Analytical Scientist We are supporting an innovative advanced materials technology company that is looking for an experienced Lead Analytical Scientist to drive the development of advanced material characterisation capabilities within a fast-paced R&D environment. This role combines hands-on scientific investigation with technical leadership, supporting the development of next-generation materials through advanced analytical techniques, method development, and cross-functional collaboration. You will play a key role in understanding the relationships between process, structure, properties, and performance to support product development and commercialisation. You will take ownership of analytical programmes, working independently and collaboratively to deliver high-impact scientific outcomes. Key Responsibilities Lead analytical and characterisation activities to support materials development programmes Design and execute investigations to understand process–structure–property–performance relationships Develop and improve materials characterisation methodologies Analyse and interpret complex datasets to generate actionable scientific insights Collaborate with R&D, quality, and manufacturing teams to support business objectives Lead technical problem-solving and root cause investigations Support and mentor scientists while promoting knowledge sharing across teams Ensure high standards of laboratory safety, quality, and complianceRequirements PhD in Materials Science, Chemistry, Physics, or a related discipline Significant industrial experience within materials development or advanced technology environments Strong expertise in materials characterisation and analytical method development Experience investigating process–structure–property relationships Proven ability to analyse and interpret complex scientific data independentlyDesirable Experience working with battery materials, energy storage technologies, or electrochemical systems Experience working with external testing or characterisation facilitiesIf you are an experienced materials scientist with a strong background in advanced characterisation and industrial R&D, please apply now

Senior Scientist Oxford | On-site | Start-up Biotechnology Company Talentmark is partnering with an biotech start-up developing next-generation gene therapies for severe genetic diseases. With a highly collaborative scientific team and innovative platform technologies, the company is advancing cutting-edge preclinical programmes focused on delivering transformative therapies to patients with high unmet need. This is a site-based position located at Oxford. As part of their continued growth, they are seeking a Senior Scientist with a strong track record of managing outsourced pre-clinical studies within the biotech industry. This is an excellent opportunity for someone who enjoys working in a fast-paced, science-driven environment where they can combine scientific leadership, CRO oversight, and hands-on laboratory expertise. The Opportunity You will play a key role in driving preclinical in vivo studies through external CRO partnerships, supporting the progression of gene therapy programmes from discovery through translational development. The successful candidate will bring proven experience managing CROs, overseeing in vivo studies, and hands-on wet lab experience collaborating cross-functionally within a biotech setting. Key Responsibilities Lead the design, oversight, and interpretation of preclinical in vivo studies with external CRO partners Manage CRO relationships across study planning, timelines, budgets, protocol review, and data delivery Act as the internal scientific lead for animal model studies including efficacy, biodistribution, and toxicology Maintain hands-on involvement in molecular and cellular biology workflows Support the design and optimisation of gene expression constructs and vector development activities Contribute to data analysis, project planning, and scientific reporting across multiple programmesYour Background: PhD in Molecular Biology, Gene Therapy, Immunology, Virology, Translational Medicine, or related discipline Proven biotech industry experience within preclinical or translational research environments Strong track record managing CRO-based in vivo studies Experience with histology, bioanalysis, or biodistribution studies Experience driving study execution to timelines Hands-on wet lab expertise in molecular and/or cell biology Strong scientific data interpretation and problem-solving skills Excellent project management abilitiesHighly Desirable Experience within gene therapy, viral vectors, or advanced therapeutics Exposure to GLP toxicology or IND-enabling studies Background working with translational animal modelsApply: It is essential that applicants hold entitlement to work in the UK. Please quote job reference (Apply online only) in all correspondence

Lab Technician (Insect Rearing) Location: Oxford, UK Job Type: Temporary (3 months initially until October with possibility of extension) Salary: £13.45 per hour Working Hours: Monday to Friday, 37.5 hours a weekJoin our innovative team as a Technician, where you will be part of a dynamic project dedicated to developing sustainable biological technologies for pest control. This temporary position is an excellent opportunity to contribute to groundbreaking research that aims to improve global food security and public health. Daily Responsibilities: Maintain multiple insect colonies to ensure timely availability for mass rearing evaluations. Assist in setting up experiments and collecting data in accordance with specified protocols to support mass production and release strategies. Record data meticulously and document activities within laboratory books or other records. Maintain laboratory tidiness and support the team's adherence to procedures, regulations, and health and safety standards. Prepare and maintain laboratory stock solutions, insect diets, and equipment, including ordering laboratory supplies. Assist with updating health and safety records, SOPs, COSHH, and risk assessments. Communicate clearly with the rearing development scientist and team lead regarding experimental status.Required Skills & Qualifications: A-levels in a scientific subject. Experience in a biological sciences laboratory preferred, with insect rearing expertise desirable. Strong communication skills. Creative problem-solving skills and the ability to develop applied solutions. Ability to adapt and thrive in an environment of change and ambiguity.Benefits: Opportunity to work in a cutting-edge field of biological technology. Be part of a passionate team dedicated to making a significant impact on global health and food security. Supportive and innovative workplace culture.To apply for this Technician position, please submit your CV and a cover letter detailing your relevant experience and why you are interested in this role

The Lead Data Scientist is responsible for leading the development and refinement of advanced statistical models and machine learning techniques, creating innovative metrics and diverse insights that enhance the analysis of player and team performance. They will be exploring new methodologies in foo

As a Data Scientist you will work on the company's core AI platform that enables data informed learning for students, from understanding student progress to using predictive modelling to recommend content and learning paths. You'll build models using diverse learning signals (written, spoken and beh

The data scientist should apply a range of techniques and exploitation to lead to improves customer outcomes and highlight drawbacks/shortcomings of datasets in a timely manner. Use and design of algorithms is expected from the data scientist, to extract meaningful, actionable insight from a variety

Work with data engineers to ensure marketing data quality and implement scalable data processing pipelines. This is a hands-on data science role that will work within our Data & AI function. By leveraging your deep understanding of marketing data, statistical methods, and emerging AI technologies, y

Talent Locker is seeking a Data Scientist for an Advanced Analytics project with the MOD in Farnborough. This hybrid role requires expertise in data preparation, validation, and analysis to support a critical defence consultancy project. The ideal candidate will have experience with model performanc

Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: o Data science stack: NumPy, pandas / polars, scikit‑learn, XGBoost, LightGBM o Deep learning: PyTorch, JAX o Statistical programming: NumPyro, PyMC * Data skills: Proficient in SQL,

AFC Bournemouth is looking for a Junior Data Scientist to support data-driven processes and collaborate across the club. This role involves data collection, cleaning, analysis, and ensuring the reliability of medical and performance data systems. You will work closely with a multidisciplinary team t

Data Scientist (GenAI & ML) 3 days on site in Central London We are looking for an experienced Data Scientist to design, build, and deliver scalable data science and machine learning solutions that drive real business impact. Key Responsibilities * Design, develop, and maintain scalable data science

Where you fit in As our Senior Data Scientist, you will Define and deliver innovative Data Science solutions using data science, ML/AI, open data, and cloud technologies Represent the Data Team by owning and being accountable for Data & AI products as well as helping to steer the strategic direc

A global investment firm is seeking a Data Scientist to work on high-impact AI projects.

Yorkshire Water is looking for a Data Scientist to join their IT team. The role involves leading the delivery of data science solutions, generating insights, and partnering with teams to maximize organizational impact. With a focus on innovative projects, you will utilize your STEM qualification and

As a Data Scientist, you will work closely with data experts in the business to analyze complex datasets, develop innovative data-driven solutions, and provide valuable insights to drive business growth. Proven experience as a Data Scientist, with a strong track record of delivering impactful data-d

Fuel Recruitment Limited is seeking an AI Engineer/Data Scientist to join a client in the defence sector. The ideal candidate has hands-on experience with LLMs, graph databases, and geospatial data handling.

Ecm Selection is seeking a Senior Data Scientist Research Engineer to lead applied RF work and enhance signal processing pipelines.

The Data Science team is part of a larger data and analytics group that has separate functions for Data Analytics, BI, and Data Engineering. We have invested heavily in data technologies and associated analytical tools that enable our data scientists to provide innovative solutions using the latest

Perform advanced data-wrangling to transform raw text into optimized training sets for Large Language Models (LLMs). Develop automated scripts to monitor the consistency of human-annotated data, ensuring the quality standards of TELUS Digital are met. Minimum of a Bachelor’s Degree in Data Science

Senior Data Scientist – Gen AI. We're partnering with a leading UK fintech to find a Senior Data Scientist with hands‑on GenAI experience. Developing predictive ML models and analysing business data for opportunities.