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A leading biotechnology firm is seeking a Research Scientist (Machine Learning) to work on innovative AI applications in drug discovery. The role involves designing novel ML models, collaborating with interdisciplinary teams, and applying deep learning to scientific problems. Ideal candidates will have a PhD in a relevant field and expertise in deep learning technologies. This position offers a hybrid working environment, emphasizing growth and collaboration in a mission-driven culture.

We're looking for a Research Scientist (Machine Learning) to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines. This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged. What you'll get Work at the intersection of AI and life sciences with high impact applications. Hybrid working (3 days per week in the London office). A collaborative, inclusive culture with opportunities for growth and leadership. What you'll do Design and develop novel ML models and algorithms. Apply deep learning and generative modelling to complex scientific problems. Collaborate with experts across biology, chemistry, physics, and engineering. Analyse, tune, and optimise experimental results. Depending on experience: lead projects, mentor others, and shape research strategy. What you'll bring PhD (or equivalent experience) in ML, computer science, or a related field. Proven expertise in deep learning research and model development. Strong knowledge of mathematics (linear algebra, calculus, statistics). Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. A passion for applying ML to real-world scientific challenges. Nice to have Experience working with biological or chemical data. Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision. Contributions to publications, research projects, or open-source ML. Senior (5+ years of experience) Company: BioTalent

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on Mistral AI participates in the E-Verify program Role Summary About the Research Engineering team. The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research production spectrum as needs or interests evolve. Location Paris / London (hybrid) or remote from EU/UK What will you do Accelerate researchers by taking on the heavy parts of large scale ML pipelines and building robust tools. Interface cutting edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. Conduct experiments on the latest deep learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Design, implement and benchmark ML algorithms; write clear, efficient code in Python. Deliver prototypes that become production grade components for Le Chat and our enterprise API. About you Master's or PhD in Computer Science (or equivalent proven track record). 4 + years working on large scale ML codebases. Hands on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data pipeline chops. Strong software design instincts: testing, code review, CI/CD. Self starter, low ego, collaborative. Benefits France Competitive cash salary and equity Food: Daily lunch vouchers Sport: Monthly contribution to a Gympass subscription Transportation: Monthly contribution to a mobility pass ️ Health: Full health insurance for you and your family Parental: Generous parental leave policy Visa sponsorship UK Competitive cash salary and equity Insurance Transportation: Reimburse office parking charges, or £90 per month for public transport Sport: £90 per month reimbursement for gym membership Meal voucher: £200 monthly allowance for meals Pension plan: SmartPension (percentages are 5% Employee & 3% Employer) Tagged Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom Senior (5+ years of experience)

An education provider in the United Kingdom is looking for a Machine Learning and Data Engineering Tutor and Marker to join their team. This role involves delivering high-quality teaching for undergraduate and postgraduate levels, with significant professional and academic experience required. Responsibilities include curriculum design, assessment development, and online teaching. Candidates should possess a Level 7 qualification or equivalent and excellent communication skills. The role offers hybrid working and various benefits including free study opportunities.

About the job Testlio's fully managed crowdsourced testing platform, powered by our proprietary intelligence technology - LeoAI EngineTM, integrates expert, on demand testers directly into your release process. Ship faster and more confidently with global coverage across 600,000+ devices, 800+ payment methods, 150+ countries, and 100+ languages. To learn more, visit We are hiring a Staff Machine Learning Scientist (Applied AI) to help design, build, and scale Testlio's next generation of AI powered data products. You'll join our product team and will apply advanced machine learning, data science, and statistical methods to transform the rich data from our software testing platform into actionable insights for our customers. Your work will directly influence how global engineering and product teams understand product quality, user experience, and business impact. This is a hands on, high impact opportunity to shape the future of AI at Testlio while working in a remote, collaborative, and fast paced environment. Why will you love this job? Build from the ground up. You'll be part of the team shaping Testlio's new AI product line, creating real world solutions that customers will use to make smarter product decisions. High impact data. Our platform generates unique and complex datasets from software testing at scale, giving you access to rich, real world data to design and deploy meaningful models. Experiment + innovate. You'll have freedom to test, prototype, and deploy new approaches in NLP, predictive modeling, and data driven insights. Cross functional collaboration. You'll work closely with engineers and customer facing teams to ensure your models deliver measurable business value. Why will you love being a part of Testlio? Great Culture: Testlio is a female founded company, and half our team identifies as women. We're proud of our inclusive, purpose driven culture where people genuinely enjoy collaborating. As part of our team (we call ourselves TestLions), you'll help create exceptional digital experiences for our customers, while also contributing to our freelance network. Remote Work: Our culture is built around remote work. We've created systems to allow us to successfully work together asynchronously as a fully remote and globally distributed team. Testlio provides the tools and guidance for everyone to succeed in their careers in a fully remote setting. Our working style encourages everyone to make decisions, communicate effectively, and work at a sustainable pace. Investment in You: Your growth and well being matter to us. You'll have flexible paid time off-including national holidays, personal days, and sick days-plus stock options so you can grow with Testlio. We also provide a $300 annual learning stipend to support your personal and professional development. Winning Business: Testlio is growing, profitable, and cash strong. We are leading our industry with exceptional clients who provide us with a high NPS score and a 4.7 rating on G2. Our business model is global, enterprise, and subscription based. Several of our largest clients have been with us for 7+ years, and many spend $500K+/year with Testlio. What would your day look like? Partner with engineering leaders to define, design, and deliver AI Data products. Explore and model complex datasets from Testlio's platform using statistical, ML, and deep learning techniques. Prototype and validate models, then work with engineering to deploy them into production at scale. Research and implement techniques in areas like NLP, anomaly detection, recommendation systems, and predictive analytics. Translate raw outputs into clear, actionable insights that are easy for customers to understand and use. Measure and improve model performance continuously to ensure accuracy, fairness, and scalability. Contribute to building Testlio's data science practice - influencing standards, tools, and best practices. What do you need to succeed? Technical Skills Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, or a related field. 10+ years applying end-to-end machine learning and statistical modeling solutions to real-world problems, ideally in SaaS or data products. Strong Python skills and experience with deep learning frameworks such as PyTorch and TensorFlow. Hands on experience with NLP, predictive modeling, recommendation systems, anomaly detection, and training ML and deep learning models from scratch. Expertise in data wrangling, feature engineering, and managing large, complex datasets. Knowledge of Large Language Models (LLMs) and Small Language Models (SLMs), including architecture, training, fine tuning (LoRA, QLoRA, SFT), and deployment strategies. Proven experience designing, building, and maintaining end-to-end ML pipelines and MLOps frameworks, including model training, deployment, monitoring, and lifecycle management. Hands on experience designing, deploying, and maintaining AI agents, including multi agent systems, in production with robust APIs and error handling. Proficiency with SQL, data visualization tools, and cloud platforms such as AWS or Azure. Human Skills Curiosity + creativity. You're eager to experiment, learn, and push the boundaries of what's possible with data. Business orientation. You can translate technical outputs into meaningful customer value. Collaborative spirit. You enjoy working across teams to deliver impact. Adaptability. You thrive in fast changing environments where priorities evolve as we scale. Mentorship mindset. You enjoy sharing knowledge and uplifting teammates. Growth mindset. You continuously refine your craft, stay current with advances in AI/ML, and seek feedback to improve. What is the application process? Application Recruiter interview TestGorilla assessment 3 Team and Stakeholder interviews, inclusive of skills demonstration Reference checks Offer Diversity and Inclusion Testlio is an equal opportunity employer deeply committed to creating an inclusive environment for people of all backgrounds and identities. We are female founded, and 46% of our team members identify as women. For more information, see the DEI section of our website. Company: Testlio Tagged as: Data Visualization, Industry, Language Modeling, NLP, Predictive Analytics, United Kingdom

A global technology firm is seeking a Staff Machine Learning Scientist (Applied AI) to lead the innovation in AI-powered data products. This role focuses on applying advanced machine learning, data science, and statistical methods to derive actionable insights from large datasets. Candidates should have significant experience in machine learning, strong Python skills, and a collaborative spirit. The position offers flexible remote work and an inclusive environment that values creativity and growth.

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

A leading software company in Cambridge is seeking a Machine Learning Research Engineer to research cutting-edge machine learning concepts. This role requires a Ph.D. in a related field and a strong background in NLP and classic machine learning. Responsibilities include investigating algorithms, prototyping research concepts, and evaluating their feasibility. The position offers a competitive salary and a comprehensive benefits package. Ideal for candidates passionate about advancing technology in an innovative environment.