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

Kalibrate exists to deliver the right insight, at the right time, to give organizations answers to their most challenging questions. We’re partners in growth. We serve decision makers across location and fuel pricing in markets all over the world — from high growth emerging concepts to the most established international operators. Our platforms and analytics solutions directly empower decision-making and provide clear financial value. These decisions help grow economies, create jobs, and improve the communities where we live, work, and play. Role Reporting to the Director of Data Science Research, the Data Scientist is a highly skilled individual contributor responsible for designing, developing, and deploying advanced data science solutions across Kalibrate's product portfolio. 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. Key responsibilities include: Data Science Solution Development & Delivery o Apply statistical and econometric modeling, time series analysis, optimization methods, and generative AI to develop improved approaches to demand modeling, elasticity estimation, price recommendation, competition analytics, and related challenges. o Develop reusable tools, frameworks, and components to support and accelerate delivery of value from data science. o Deploy scalable and maintainable solutions to cloud environments, leveraging version control practices and robust code quality and documentation standards. o Work independently and as part of the Data Science Research team, contributing to research prioritisation and technical direction in collaboration with the Director and Product leadership. Technical Excellence & Mentorship o Demonstrate technical excellence by delivering high-quality, innovative solutions and championing best practices to ensure research outputs are reproducible, scalable, and maintainable. o Contribute to evaluation and adoption of appropriate tools, programming languages, and technologies. o Mentor junior team members, sharing knowledge and supporting their professional development. o Identify and contribute to patent opportunities and the company's intellectual property portfolio. Collaboration & Communication o Collaborate across Development, Product, Analytics, and Commercial teams to ensure solutions address business challenges and stakeholder objectives. o Partner with operational teams to ensure data pipelines and infrastructure are robust, secure, and optimized for research and production workloads. o Communicate technical concepts and outcomes effectively to both technical and non-technical audiences. Innovation & Continuous Learning o Stay current with developments in data science, machine learning, and AI, applying state-of-the-art techniques to project work. o Develop comprehensive knowledge of the retail fuel industry to understand domain challenges and help guide product innovation. o Share knowledge and promote best practices across the team and company. Profile Qualifications & Profile o Ph.D. or master's degree in a quantitative discipline. o Demonstrated track record of designing, developing, and deploying data science and machine learning solutions in commercial environments. o Expertise in statistical or econometric modeling and optimization techniques. o Proven ability to independently manage complex projects under tight deadlines while maintaining high standards of quality and reliability. o Strong written and verbal communication skills for both technical and non-technical audiences. o Cross-functional team collaboration experience with product, engineering, and business stakeholders. o Experience in pricing data science is desirable, particularly within the fuel or retail sectors. Technical Skills & Experience o Advanced proficiency in Python and/or R for data science development. o Proficiency in SQL for data extraction, transformation, and analysis. o Experience with version control (Git) and modern software engineering practices including code review and collaborative development. o Familiarity with using generative AI tools such as Github Copilot to support development and enhance productivity. o Knowledge of solution deployment with cloud platforms (preferably Azure), including containerization (Docker) and CI/CD pipelines is desirable. Location & Travel This a remote role within the UK. Travel to our offices in Manchester city centre, or client and partner locations, may be required for meetings and events. The Data Science Research team operates across multiple time zones globally, so working hours may occasionally need to flex to accommodate necessary collaboration with international colleagues. 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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 _.

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. We are looking for a Software Engineer or Data/AI Scientist with a strong background in AI production-grade applications with s

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.

A leading applied AI robotics lab in London is seeking an AI Research Scientist to join their elite team.

Mentorship & Technical Excellence: You will elevate the entire ML research engineering organization by conducting rigorous code reviews, hosting paper reading groups, and mentoring research engineers on mathematical fundamentals and experimental design. Deep Research Expertise: PhD or equivalent dee

The role involves evaluating the scientific quality across various research domains and providing feedback to enhance AI model performance. The position offers competitive compensation between $80 and $150 per hour, along with the opportunity to collaborate with leading research labs and experts.

As a Research Scientist or Research Engineer on the Finetuning team, you'll contribute to research on improving language models through techniques like constitutional AI. Have significant Python, machine learning, research engineering, or research experience. The easiest way to understand our resear

Miro is seeking a Lead Research Scientist to drive architectural decisions in their Machine Learning organization.

Provide structured feedback to improve scientific rigor and research outputs. Meaningful publication history in peer-reviewed research. Mercor connects elite creative and technical talent with leading AI research labs.

Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We are loo

Obsidian is seeking expert physics researchers to tackle advanced research-level challenges in various physics subdomains.

Principal Research Scientist to join our Fundamental AI Research (FAIR) team, focused on AI breakthroughs. As a leader, you'll drive research strategy, mentor peers, and influence progress across teams. AI research are required, with a strong record of high-impact publications.

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

PhDs in science and engineering to engage in collaborative projects with universities and research institutes. The role offers a substantial annual salary ranging from USD 100,000 to 350,000 based on qualifications, along with extensive benefits and support for research.

Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We value researchers who say "I don't know yet" — and then design the expe

Inworld is seeking talented AI researchers with a focus on developing real-time multimodal models. The role emphasizes research ownership and aims for impactful outcomes rather than solely academic contributions.

Join our multidisciplinary team of passionate researchers, eager to push the boundaries of ML research and contribute to industrializing scientific discovery to radically improve lives. Engage with and contribute to open-source libraries developed by Valence and the research community. Collaborate w

Inworld AI is seeking talented researchers to join their team, working on cutting-edge real-time voice models.

Crossing Hurdles is seeking a Member of Technical Staff for Finance Research to work remotely. This role involves designing evaluation frameworks for AI agents and conducting original research aimed at enhancing AI capabilities in finance. Candidates should have a PhD in Finance or applicable fields

Eschew traditional lab‑only research for an "iterative deployment" approach, testing your models on real hardware in human‑centric environments like supermarkets to capture unique edge cases. Prototype, ship, and iterate on code that runs on physical hardware, bridging the gap between theoretica

Senior Operations Research Data Scientist Contract | £600-£900/day | Hybrid London. They are not looking for purely analytical data scientists or academic optimisation specialists. Strong operations research or mathematical optimisation background.

Obsidian is seeking experienced biotechnology research scientists to enhance AI systems' reasoning around biological research.

Meta is seeking a Principal Research Scientist to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. AI - Research Scientist (Leadership) Responsibilities. Call out opportunities and risks across multiple research teams.

In the Unity Ads Applied Research team, we envision and build systems that help creators capture the value they build!. Come join Unity our Ads Applied Research team to help drive the overall Ads strategy for Unity's products and services. In this position you'll be driving our applied research init

As a Senior Care Assistant at a Barchester care home, you'll look after the different needs of our residents to enable us to deliver quality, person-centred care and support.Your role will involve supervising and inspiring a team of dedicated Care Assistants alongside the Deputy General Manager.You

Shifts: Flexible, full time hours.Yes - full UK licence and access to your own vehicle.We're sorry, but we do not currently offer sponsorship to applicants.With 14,000 colleagues across 32 care companies, we have one purpose: to make sure no one in need of care is ever forgotten or left behind.Were

Agency Senior Care Assistant Doncaster DN1-DN20.Flexible Shifts | Weekly Pay | Days & Nights Available.Staff One is currently recruiting experienced.If you are an experienced Senior Care Assistant looking for flexibility, variety, and the opportunity to choose when and where you work, we would love

Laboratory Technician - Senior School.Competitive, dependent on experience.We are seeking a Laboratory Technician to join a Senior School from September 2026.This is a full-time, term-time role (approximately 36 weeks per year), working 8:00am–4:30pm, 5 days per week.You will play a key role in su

Helping others improve and turn their lives around – there’s no better feeling.It’s what we do for thousands of people at more than 150 sites across the UK.We are seeking compassionate and dedicated Night Care Rehabilitation Assistants to join our team.This role involves supporting individuals

Care Assistant - Driver with Own Vehicle.Location: Chorley, PR7 and surrounding areas.Unfortunately, Routes are unable to offer a job to anyone who does not have the right to work in the UK or needs employer support.This role is advertised for female care assistants only as a Genuine Occupational Re

Supporting a male client aged 63-65 with a spinal injury.We are delighted to be recruiting on behalf of a client who lives in the lovely village of Hoo.Our client is a gentleman in his early sixties who has sustained a spinal injury that affects his mobility.He is looking for confident, proactive Su

Rotating shifts 6:00am to 2:00pm / 2:00pm to 10:00pm / 10:00pm to 6:00am.We are seeking a motivated and detail-oriented.The role also includes providing operational cover for shift management during nights and weekends when required.Verification of Mechanical & Chemical Properties.Spectrographic ch

Mayfair Homecareare a leading care provider that stretches across the South Coast and surrounding areas.We predominantly support service users in Hampshire, Portsmouth, Southampton, Basingstoke, Andover and surrounding areas.We at Mayfair Homecare, pride ourselves on placing our valued live-in care

Birchstone Care Homes we are committed to providing a safe, secure, happy and comfortable home, promoting a high standard of care and an understanding of individual needs to offer support and choice as required.We are looking for kind and caring individuals to join our happy and friendly team, those

Nights Health Care AssistantNights Health Care Assistant.When registering to this job board you will be redirected to the online application form.Please ensure that this is completed in full in order that your application can be reviewed.Position: Health Care Assistant.Location: Woolston, Warrington

L&M Healthcare provide expert care in a luxurious home from home environment.We specialise in the kind of personalised General Nursing & dementia care that develops, sustains and where possible, improves mental and motor skills.We are looking for passionate Senior Care Assistant , working Days at ou

Days Senior Health Care Assistant.When registering to this job board you will be redirected to the online application form.Please ensure that this is completed in full in order that your application can be reviewed.Days Senior Health Care Assistant.If youre an experienced Health Care Assistant looki

When registering to this job board you will be redirected to the online application form.Please ensure that this is completed in full in order that your application can be reviewed.Full time and Part time hours - Weekends required.Are you a caring, compassionate and cheerful person with lots to give

We are seeking a dedicated and adaptable.This role is ideal for someone who enjoys variety, travelling between locations, and working with different individuals, while consistently delivering high-quality, person-centred support.As a Regional Support Worker, you will provide essential care and suppo

Helping others improve and turn their lives around – there’s no better feeling.It’s what we do for thousands of people at more than 150 sites across the UK.We are looking for a confident Acting Team Leader with a passion for delivering outstanding care.You’ll be working full time 42 hour

We are seeking warm, respectful, and energetic individuals to join our Scunthorpe services as Relief Support Workers.This role involves providing person-centred support to individuals with learning disabilities, empowering them to lead fulfilling, inclusive lives while upholding their independence a

Helping others improve and turn their lives around – there’s no better feeling.It’s what we do for thousands of people at more than 150 sites across the UK.This role requires native British Sign Language usage or a minimum Signature Level 2 as it is a deaf service.We accept written, video or B

We offer high-quality, specialist care to some of the most disadvantaged and vulnerable children in society.Every young person in our care is supported by a team of experienced, empathetic staff within warm, welcoming homes.Our approach is built around emotional safety, trust, and consistent daily r

We offer high-quality, specialist care to some of the most disadvantaged and vulnerable children in society.Every young person in our care is supported by a team of experienced, empathetic staff within warm, welcoming homes.Our approach is built around emotional safety, trust, and consistent daily r

We have an exciting opportunity for a Senior Support Worker to join our team in Coppull, Chorley.We are looking for a motivated and experienced individual to work within our supported living service for adults with learning disabilities.Your role will involve providing consistent, positive support,