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SCIENTIFIC SOFTWARE DEVELOPMENT ENGINEER PERMANENT ROLE, BASED LIVINGSTON / HYBRID EXCELLENT SALARY PLUS BENEFITS Based in Livingston, Grw Talent s client comprises of a group of European companies engaged in the design, development, manufacture and distribution of analytical systems, life science equipment and laboratory instruments with operations dating back many years. Now part of a global multinational business, their fast growing multidisciplinary scientific and engineering group is looking to recruit a Scientific Software Development Engineer. Reporting into the Software Team Leader, the Scientific Software Development Engineer will be responsible for the design, development, testing, documentation, and maintenance of system software for their scientific products. R esponsibilitie s : Gather requirements, design, code, test and maintain system software for their products. Liaise with and support, through proper use of the defect tracking system, Software Testing. Produce manuals and support documentation for system software. Maintain full records and ensure safe keeping of all system software. Ensure that all activities comply with Company quality procedures. Propose, implement and demonstrate solutions to problems which may not, given the research and development environment, have clearly defined requirements. Provide support to Production and Sales teams, as required. Keep abreast of current technology and advise the Company on issues that may affect performance and success. Undertake off-site visits, and/or remote in, as required to install, service or maintain software systems and computer related hardware. You should ideally have a degree in software engineering or a related engineering/science discipline with relevant software development experience and strong programming skills in C++, Delphi or a similar language along with Microsoft windows programming experience and a thorough understanding of object-oriented design methods and patterns. Demonstrable UI design skills and experience of using Source Code Management and Bug tracking tools in a team environment also important. Desirable skills include experience of C# and Python and being familiar to Agile software development principles and patterns and Scientific or Mathematical programming - Data Analysis Algorithms, statistics, etc. Also highly advantageous would be Instrumentation knowledge scientific/medical, hardware interfacing, data acquisition, e.g., USB devices, sensors, motor control, and electronics etc or a background in scientific research. Although primarily needed to work on site 3 days a week you will likely be able to work from home 2 days a week once established in role. You will work a 37.5 hour flexible working pattern, that allows an early finish on a Friday. A comprehensive range of benefits including performance-related bonus scheme, death in service, group income protection, private medical insurance, pension scheme, paid holidays, subsidised gym membership, cycle to work and employee discount scheme. A competitive salary and package tailored to your experience is on offer for the right candidate. However, the chance to be part of something truly unique makes this too good to refuse. Please send your CV to our recruitment partner Katie Hydes at Grw Talent.

GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.

We have an exciting opportunity for an experienced bioinformatician who is interested in working at the forefront of the gene editing (CRISPR knock out, base editing) and gene modulation (CRISPRa, CRISPRi, RNAi) fields. As a Bioinformatics Scientist / Senior Bioinformatics Scientist, you will have the opportunity to apply your strong bioinformatics background and software development skills to make key contributions in support of a wide variety of Revvity products and services including screening services, base editing research, whole genome CRISPR/RNAi reagents, and diagnostics reference standards. In this role, you will work closely with scientists, software engineers, product managers, and other bioinformaticians to support and drive cutting edge research products and services. If you are an experienced bioinformatician, are fulfilled by working on challenging problems, and enjoy being part of a vibrant team, this role is for you! Key Responsibilities Work as part of an Agile development team to develop, test, document, and support bioinformatics pipelines and tools (primarily Python with some C# and R) Help manage complex projects by gathering user requirements and breaking them into technical tasks for the team Mentor junior group members and provide high level guidance on software architecture, bioinformatics, and scientific approach to problems Provide expert feedback on new code through pull requests Drive collaboration with scientists, product managers, software engineers, and other internal stakeholders to understand and address the complex, emerging needs of our business and customers Prepare and present high quality data packages and reports to internal/external clients Help drive innovation within the bioinformatics group and company by suggesting new areas of research/development Essential Competencies & Requirements Relevant experience post PhD (or equivalent) in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, computer science, or a related field Bioinformatics expertise - experienced in using standard tools and common data sources Strong software development skills - 3+ years Python development and testing, experience creating and querying databases (e.g., PostgreSQL), advanced knowledge of Git, experience developing user facing software (command line, web app), strong familiarity with WSL (Linux) command line Able to work independently and deliver high quality results while managing multiple simultaneous projects Desirable Competencies & Requirements Experience working as part of an Agile development team, including code reviews and sprint team roles Familiarity with cloud development and resources (Azure, AWS); HPC experience a plus Experience working in Flask (or another Python web framework) and Python development tools (e.g., pyenv, poetry, tox) Experience with Docker and writing Dockerfiles and CI/CD pipelines (Jenkins, CircleCI, Azure Pipelines, etc.) Experience developing NGS analysis pipelines or familiarity with common gene and variant annotation data sources (e.g., NCBI, COSMIC) Intermediate to advanced experience developing in a language other than Python (especially R or C#)

GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Job Title Senior Software Engineer Company Description VC-backed creative AI platform Job Description Join a pioneering team building assistive AI tools that empower filmmakers to transform storytelling. This senior backend leaning role involves designing and shipping high impact features, contributing to architectural decisions, and collaborating cross functionally to build scalable systems that redefine creative possibilities in entertainment. Location London, UK Why this role is remarkable Shape the future of creative industries by developing cutting edge AI tools that enhance artistic expression and production efficiency. Work with a well funded platform backed by top tier VCs, poised for significant growth and market leadership. Contribute to setting ethical AI standards in entertainment, ensuring innovation respects creative ownership and artist rights. What you will do Design, build, and maintain core systems and APIs using Python, ensuring quality, scalability, and performance. Own end to end development across the stack, from architecture and data modeling to deployment and monitoring. Collaborate closely with product managers, designers, and other engineers to translate requirements into robust, user delighting features. The ideal candidate Strong expertise in Python or another high level object oriented language with a modern web framework (e.g., FastAPI, Django, Flask). Proven experience designing and shipping production grade backend systems and APIs. Solid understanding of databases, data modeling, and query optimization (SQL and/or NoSQL). Who are Jack & Jill Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Visit our website. Click "Talk to Jack". Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill (the AI agent working for the company) considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Future Power Market Analyst page is loaded Future Power Market Analystlocations: London York Roadtime type: Full timeposted on: Posted Todayjob requisition id: R192813, United Kingdom Job Family Group: Trading Jobs Worker Type: Regular Posting Start Date: January 9, 2026 Business Unit: Trading and Supply Experience Level: Experienced Professionals Job Description: Shell Energy Europe & Environmental Products is seeking an individual for very long-term Power Market Fundamental Analysis of Europe. This position is responsible for supporting finance, investments and strategy department with analysis developed from a deep understanding of the key long-term drivers such as generation (wind, solar, gas fired, coal fired, batteries, etc.) transmission, regulatory, and demand.This position must build credibility with internal customers so that such foresight can be translated into long term group decisions gain primarily in our New Energies division and finance. The emphasis is on developing both qualitatively and quantitatively advantaged capabilities, supported as appropriate by models, tools and techniques that yield high quality insight. Collaborating with peers in the Short, Mid-Term and Long-term Fundamentals team to build scalability in this respect is essential.You will: Deliver very long-term market view for strategic projects and use fundamental analysis techniques to support Shell group decisions. Research and understand the fundamentals drivers related to supply/demand/transmission in the context of long-term modelling focused on developing forward pricing views. Monitor market developments in market design/regulatory issues that could impact prices. Work closely with short, mid-term and long-term natural gas and power analysts in market view development. What we need from you We are keen to hear from candidates with significant experience in Power Fundamentals, with the following technical skills and experience: Experience with power system analysis software & packages (e.g., Plexos, Aurora, EPSI etc.). Good knowledge in energy economics Strong knowledge of the European Energy Markets Very strong numerical and analytical skills Exceptional communication and presentation skills, both written and oral. Excellent IT skills incl. ability to model in main languages as Python and in the MS Windows environment (particularly Excel), Experience interfacing with databases (SQL) Bachelor's Degree in Engineering, Computer Science, Mathematics, Economics, or any related degrees required. Demonstrated understanding of power fundamentals.After you submit your application, you will receive an email from Shell providing a link to an online assessment (HireVue) that is a mandatory part of the process and has a validity period - please check your spam/junk mailbox if you do not see the email. Once completed, your application will be reviewed to determine next steps. Thank you for your interest in Shell! What we offer You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You'll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You'll be able to balance your priorities as you become the best version of yourself. Progress as a person as we work on the energy transition together. Continuously grow the transferable skills you need to get ahead. Work at the forefront of technology, trends, and practices. Collaborate with experienced colleagues with unique expertise. Achieve your balance in a values-led culture that encourages you to be the best version of yourself. Benefit from flexible working hours, and the possibility of remote/mobile working. Perform at your best with a competitive starting salary and annual performancerelated salary increase - our pay and benefits packages are considered to be among the best in the world. Take advantage of paid parental leave, including for non-birthing parents. Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply. Grow as you progress through diverse career opportunities in national and international teams. Gain access to a wide range of training and development programmes.We are committed to attracting a broader and more diverse pool of candidates. If this position doesn't feel like the perfect fit for your qualifications right now, we'd still love to hear from you. Consider creating a profile in our Talent Community so we can keep you in mind for future opportunities that may align with your skills. Shell in The United Kingdom Shell UK remains one of the North Sea's biggest producers, supplying around 10% of the UK's total oil and gas needs. But perhaps the most recognisable face of Shell in the UK is our network of over 1,000 Shell-branded service stations.In the years ahead, as the UK looks to strengthen energy security and deliver its 2050 net-zero goal, Shell UK aims to play a crucial role. We aim to be a major investor in the UK energy system by helping our customers decarbonise with a focus on transport and industry.- DISCLAIMER: Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.You can be a part of the future of energy. Together at Shell, we are transitioning to become a net-zero emissions business while providing the energy that people around the world need today. Working with experienced colleagues , you'll have the opportunity to develop your skills, in an environment where we value honesty, integrity and respect for one another. At Shell, you progress as we tackle the energy challenge together.

- Featured Role Apply Direct with Data Freelance Hub This role is a part-time Machine Learning Engineer position, offering $50-$100/hour for 30+ hours/week, primarily weekdays. Requirements include an active or recently graduated PhD, expertise in data science, machine learning, and Python, along with strong analytical skills. Location: Remote. United Kingdom. Position: PhD RaterType: Part-TimeCompensation: $50-$100/hourLocation: RemoteCommitment: 30+ hours/week (primarily weekdays) Responsibilities Design challenging, real-world STEM benchmark problems in domains such as data science, machine learning, finance, and software engineering. Implement tasks within an agentic development environment using Python. Create reproducible problem setups with clear specifications and executable tests. Evaluate and analyze AI model behavior, including reasoning traces and agent workflows. Diagnose reasoning failures, logic gaps, and problem-solving limitations in AI systems. Contribute to improving benchmark quality and evaluation frameworks for frontier AI models. Requirements Active or recently graduated PhD. Deep expertise in data science, machine learning, finance, and/or Python-based software development. Strong research background in advanced STEM topics. Ability to commit reliably for 30+ hours per week. Demonstrated technical output such as high-quality open-source contributions or research work. Ability to analyze agent behavior traces and diagnose failures beyond surface-level errors. Application Process Upload resume Interview Submit form Freelance data hiring powered by an engaged, trusted community - not a CV database.

About Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We've raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft's M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We've also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA. About the role Voice is one of the key interfaces humans will interact with AI at scale. To make this reality, we are building the engine for the next generation of AI-driven software. Our primary focus is pushing the boundaries of speech modeling (STT & TTS). We approach this by researching and utilizing ML ideas that allow us to achieve state-of-the-art results (we recently ranked on Artificial Analysis for Text-to-Speech models). Working with audio is uniquely complex - arguably more so than text - because the solution space for how a specific phrase can be spoken is effectively infinite. This creates a vast landscape of challenges, from data collection and efficient training infra to creating RL alignment environments and ultra-low latency inference optimizations. We are seeking Senior AI Engineers to solve these challenges. You will be responsible for researching, building, optimizing, and deploying the production ML systems that thousands of developers integrate with their systems. Your work will focus on the difficult research and engineering problems of building the engine for the next generation of AI-driven software. Qualifications Power user of AI agents for work automation A BA/BS, MS, or PhD in a technical field (CS, Math, Physics) with a strong foundation in Machine Learning. 3+ years of combined experience in software development (e.g. with Python or C++) and applied ML engineering. Demonstrated experience applying or researching Machine Learning in one or more of the following domains: Speech or video processing Natural Language Processing (NLP) Action planning Strong foundation in data structures, algorithms, and neural network architectures. Proficiency with ML frameworks such as PyTorch. A good fit for this role may have A passion for learning and staying up-to-date with the latest advancements in ML/Voice AI research and its applications. Ability to work collaboratively in a fast-paced environment with shifting priorities. Familiarity with pre-training, fine-tuning, RLHF and evaluation of large language and speech models. Knowledge of working with embedded systems and/or running ML on edge devices. Strong background in mathematics and/or physics. Location & Employment Location: remote within United Kingdom Employment type: Full-time, permanent employment Candidates must already have the legal right to work in the United Kingdom. Visa or sponsorship is not available for this role. Optional relocation support to the United States may be available for candidates who are interested in relocating in the future and who meet applicable eligibility and immigration requirements. Any relocation and employment in the United States would be subject to separate review, legal authorization, and business approval.

London, United Kingdom Posted on 11/25/2024 We're thrilled to present an incredible career opportunity! We're recruiting on behalf of a renowned multinational company based in the United Kingdom, seeking an Applied Scientist experienced in Generative AI and large models. What you'll do: You will take the lead in developing machine learning models capable of handling very large datasets across various dimensions. With a commitment to scientific precision, you will design and conduct experiments to validate the technical performance and business impact of your approaches. Collaborating closely with fellow scientists and engineering teams, you will ensure your research is seamlessly integrated into production systems. Key responsibilities: Create machine learning algorithms to solve large scale recommendation challenges. Quickly design, test, and refine multiple hypotheses in an uncertain environment, using data analysis and business insights. Work closely with software engineers to implement successful experiments into the company's processes. Share findings and insights effectively with both technical and non technical audiences through presentations and reports. Requirements BASICQUALIFICATIONS PhD, or a Master's degree and experience in CS/CE/ML or related field research. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high performance computing. Experience programming in Java, C++, Python or related language. Experience in building machine learning models for business application. Experience in patents or publications at top tier peer reviewed conferences or journals. PREFERREDQUALIFICATIONS Experience in professional software development. Benefits Immigration support: The company provides support for your immigration process to the United Kingdom. Competitive salary: Enjoy a competitive salary package reflective of your skills and experience. Global experience: Gain international experience by working with a diverse team in a dynamic region.

About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule invention platform, which uniquely combines cutting edge science with advanced technology. Powered by physics based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. About our Team AQEMIA brings together a diverse, multidisciplinary team of 65+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early stage drug discovery. This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention. About the Team The mission of the Molecular Simulations Team is threefold: Support drug discovery programs by maximising the impact of binding free energy calculations in decision making. Build, benchmark and continuously improve reproducible and scalable pipelines for binding free energy calculations, enabling support for multiple programs in parallel. Collaborate closely with our Physics Research Team to integrate innovations from Aqemia's proprietary binding free energy methods. Role Overview As an Application Scientist in the Molecular Simulations Team, you will work at the interface of molecular modelling, statistical physics, and drug discovery. Your focus will be on applying, implementing and improving Aqemia's physics based simulation methods to guide medicinal and computational chemistry and help identify high potential drug candidates. What you'll do Execute molecular simulations (e.g., free energy calculations, Molecular Dynamics) to support drug discovery programs. Analyse simulation results to generate insights for project teams. Collaborate with computational chemists, biologists, AI researchers and medicinal chemists to design simulation strategies. Contribute to the optimisation of internal protocols and workflows. Document and present findings to multidisciplinary teams. Qualifications & Experience MSc or PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or a related field. Hands on experience with Molecular Dynamics, free energy methods, or protein ligand modelling. Proficiency in Python and simulation tools (e.g., GROMACS, AMBER, OpenMM). Strong communication skills and a collaborative mindset. Nice to have Experience in machine learning applications for physics based modelling. Track record of scientific publications and contributions to the computational drug discovery community. Preferred Mindset Scientific Rigour: Committed to high standards of accuracy, reproducibility, and method validation. Humble and Willing to Learn: Open to feedback and continuously seeking to grow scientifically and professionally. Excited by Challenging Scientific Problems: Motivated by tackling complex, unsolved questions at the frontier of molecular simulation. Pragmatic and Impact Driven: Focused on delivering practical outcomes that drive real world impact in drug discovery. Polite note: UK visa sponsorship not currently available for this role at this time. 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. World Class Interdisciplinary Team Work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition AQEMIA is proud to be part of the French Tech 120 and France 2030, highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility Our offices are located in the heart of Paris and London (King's Cross), with flexible work arrangements including up to two remote days per week. Strong Financial Backing $100M raised from leading European and International investors.

Title: Principal Software Engineer - Python Department: Procode IT Location: Hybrid commutable distance of our Head Office in Chandlers Ford. Salary: Circa £65k+ Up to 15 %Bonus Sponsorship: Unfortunately, we are unable to offer sponsorship for this role Ifyou're a Principal Software Engineer, who enjoys architecting complex systems, owning technical decisions, and crafting Python-powered solutions that mak click apply for full job details

Applied Scientist, Offer Recommendations (Offers Tech) London, United Kingdom Posted on 11/05/2024 We're thrilled to present anincredible career opportunity! We're recruiting on behalf of a renownedmultinational company based in the United Kingdom, seeking an Applied Scientistto drive cutting-edge research in machine learning and create scalable personalizationsolutions . What you'lldo: In this role, you'll spearhead the developmentof machine learning models capable of processing vast amounts of data anddelivering low-latency recommendations to customers globally. With a commitmentto scientific rigor, you'll design and conduct experiments that showcase boththe technical strength and business impact of your models. Collaboratingclosely with a dedicated team of scientists and engineers, you'll drive thecreation of innovative recommendation systems that put customer needs first,enhancing the company's reputation as a global leader in machine learning andpersonalisation. Key responsibilities: Design and implementpersonalized recommendation systems across customer touchpoints. Collaborate with engineersto deploy models into scalable, low-latency production systems. Provide machine learninginsights to guide strategic business and technical decisions. Lead the science roadmap,aligning research goals with organizational priorities. Work with product managers to createcustomer-focused, machine-backed solutions. Share results through rigorous, impactfulreports for team and scientific audiences. Requirements Basicqualifications: PhD, or a Master's degree andexperience in CS, CE, ML or related field research Experience programming in Java, C++, Python or related language Experience in building machine learning models for business application Experience with contextual bandits, off-policy evaluation and learning torank models Experience with AWS technologies such as CDK, Redshift, S3, AWS Glue,Sagemaker, Kinesis, FireHose, Lambda, and IAM roles and permissions. Preferredqualifications: Experience using Unix/Linux Experience in professional software development Experience working within an Agile environment working with softwareengineers to launch products for customers. Immigration support: The company provides support foryour immigration process to the United Kingdom. Competitive Salary:Enjoy a competitive salarypackage reflective of your skills and experience. Global Experience: Gain internationalexperience by working with a diverse team in a dynamic region.

Description Quantum is now, and it's built here. Oxford Ionics, now part of IonQ, is pioneering the next generation of quantum computing. Using our world leading trapped ion technology, we're building the most powerful, accurate and reliable quantum systems to tackle problems that today's supercomputers cannot solve. Joining Oxford Ionics means becoming part of a global IonQ team that is transforming the future of quantum technology - faster, at scale, and with real world impact. What to expect We are looking for Quantum Scientists to join our UK Science team at Oxford Ionics. Our Quantum Scientists work at the forefront of our research efforts to develop the next generation of quantum computers. They are responsible for validating and optimising the performance of our computers, playing a critical role in ensuring we can meet our research and development goals and timelines. Our Scientists' work spans a broad range of areas from designing, coding, debugging and executing experiments, to developing and validating novel control schemes. They are responsible for documenting and sharing their findings with the aim of pushing the boundaries of system performance. What you'll be responsible for As a Quantum Scientist, you will typically be responsible for a subset of the following responsibilities: Prototyping and characterising coherent control and cooling schemes for trapped ion qubits using laser and microwave fields. Calibrating and benchmarking quantum systems, focusing on achieving the highest fidelities for quantum circuit primitives (e.g. ion transport or gate operations) and full circuits. Validating emerging trap technologies, including integrated electronics and photonics for large scale architectures. Analysing experimental data, debug complex hardware/software interactions, and ensure reliability of qubit operations. Requirements To be successful in this role, you will need a PhD in physics or a related discipline, with a strong foundation in atomic or qubit related physics. Prior postdoctoral or industry experience is valuable, but we are open to applicants moving directly from a PhD. We're looking for someone with a solid background in quantum control, and hands on experience in calibration, benchmarking, or coherent control of qubits, would be desirable. We're looking for motivated scientists who can contribute to the progress of this fast moving, highly technical team and help the organisation meet our research goals. Proven expertise in experimental AMO physics or quantum computing. Experience with trapped ions is beneficial though not essential. Prior experience in one or more of the following: spectroscopy or coherent control of multi level systems, characterisation of control hardware, gate fidelity benchmarking or running quantum circuits on hardware. Strong proficiency in programming and data analysis, experience of Python or Rust is desirable. Strong collaborative skills, with the ability to work independently and as part of a fast-moving team. A track record of scientific communication through publications, talks and conferences would be advantageous. Benefits Be part of a team that's shaping the future of quantum. We offer more than just a role, you'll join a world class community of scientists, engineers and innovators working to unlock the full potential of quantum computing. We offer a range of benefits, including opportunities to further your career alongside industry leaders, a competitive salary with IonQ stock options, an annual performance bonus, generous annual leave, flexible hybrid working, private medical and dental insurance for you and your family, and much more. Join us and be part of the future of quantum computing. We're proud to be an equal opportunity employer and welcome applicants from all backgrounds.

Salary for this Role: SLRS: From £45,700 per annum with benefits, subject to skills and experiencePLRS: From £55,555 per annum with benefits, subject to skills and experience Job Title: Senior/Principal Laboratory Research Scientist Reports to: Albane Imbert Closing Date: 13/Mar/.59 GMT Job Description: Senior/Principal Laboratory Research Scientist - Making Lab Science Technology Platform Reporting to: Head of Making Lab STP Contract term: This is a full-time permanent position on Crick terms and conditions of employment. Salary for this Role: Senior Laboratory Research Scientist: From £45,700 with benefits, subject to skills and experience Principal Laboratory Research Scientist: From £55,555 with benefits, subject to skills and experienceThe Francis Crick Institute is Europe's largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions.The Crick is a place for collaboration, innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge facilities, and a creative and curious culture. We've removed traditional boundaries of departments, divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. About the Making Lab The Making Lab is a Science Technology Platform (STP) operating at the interface of engineering and biology. We accelerate biomedical discovery by designing and delivering advanced engineering solutions to complex scientific challenges.We collaborate across Neuroscience, Structural Biology, Cancer, Immunology and Bioengineering. Our expertise lies in Systems Engineering and Microfluidics & Tissue Engineering. We build robotics, automation platforms, sensing systems and integrated hardware-software tools that power cutting-edge research.As part of the global Making in Research movement, we champion open hardware, rapid prototyping and reproducible system design to drive innovation in science. About the role We are seeking an experienced engineer to join the Making Lab team at Senior (SLRS) or Principal (PLRS) level.This is a hands-on technically demanding role focused on leading the development of robotics, automation and integrated hardware-software systems for biomedical research. You will take ownership of the full project lifecycle, from initial technical scoping and system architecture through electronic hardware integration, embedded and software development, testing, validation and final deployment.Projects span bespoke instrumentation and complex real-time experimental platforms, delivered in close collaboration with neurophysiology groups and teams developing advanced automated lab systems.You will operate within state-of-the-art facilities, including dedicated electronics and integration spaces alongside a workshop for digital and conventional manufacturing (CNC, laser machining, additive manufacturing). At Principal level, you will also contribute to management and long-term technical strategy, infrastructure development and platform planning for the Systems Engineering activity. For more details on the type of projects developed at the lab: What you will be doing You will be responsible for: Leading end-to-end development of bespoke hardware-software systems. Designing and integrating control systems, robotics platforms and data acquisition interfaces. Developing microcontroller-based systems, PCBs and sensor integrations. Applying structured systems engineering methods. Using version control, testing frameworks and clear documentation standards. Providing expert input on experimental design, feasibility and system architecture. Mentoring engineers and deliver hands-on technical training to researchers. Contributing to publications and disseminating technical resources. At principal level, contributing to platform strategy, infrastructure planning and capital investment. About you You will have:(Minimum criteria for SLRS & PLRS )(Minimum criteria for PLRS ) Essential: Degree, PhD or equivalent experience in Engineering, Robotics, Electronics, Mechatronics or related field. Significant hands-on experience in system design and hardware-software integration. Strong programming skills in Python and C within Linux environments. Experience developing control systems, automation platforms or experimental instrumentation. Expertise in microcontrollers, PCB design and sensor integration. Strong understanding of testing, reproducibility and structured engineering workflows. Comfortable leading multidisciplinary technical projects. Skilled communicator with the ability to convey technical concepts clearly to diverse scientific audiences. Desirable: Experience at the engineering-biology interface. Knowledge of signal processing, imaging systems or biomedical instrumentation. Experience with digital fabrication, including CNC machining, 3D printing or laser cutting. About Working at the Crick Our values Everyone who works at the Crick has a valuable role to play in advancing the Crick's mission and shaping our culture! We are bold . We make space for creative, dynamic and imaginative ideas and approaches. We're not afraid to do things differently. We are open . We're highly collaborative and interactive, and make sure our activities are visible to the outside world. We are collegial . We show respect for one another, work cooperatively and support the wider community.At the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances. We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences. We are a Disability Confident: Committed employer and want to ensure that everyone can apply and be part of our recruitment processes and so we'll make reasonable adjustments if you need them - just let us know when you apply. If you need assistance with applying (i.e., would like to apply by phone or post)please email: the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well-being and development: Visas: Applicants for this role will be eligible for sponsorship to work in the UK Generous Leave : 28 days of annual leave, plus three additional days over Christmas and bank holidays. Pension Scheme : Defined contribution pension with employer contributions of up to 16%. Health & Well-being : 24/7 GP consultation services. Occupational health services and mental health support programs. Eye care vouchers and discounted healthcare plans. Work-Life Balance : Back-up care for dependents. Childcare support allowance. Annual leave purchase options. Crick Networks offering diverse groups' support, community and inclusive social events. Perks : Discounted gym memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interaction. Career support: A Post-doc to PI programme

Job Description Summary At STEMCELL Technologies, we are developing high-throughput cell sorting technologies for clinical and research applications. We are seeking a Scientist with expertise in microfluidics to lead the design, optimisation, and testing of our MEMS-based sorting chips and fluidic cartridges, built on our patented VACS technology. In this role, you will contribute scientific expertise, deliver experimental and simulation work, and collaborate closely with engineers and scientists across the company. This role is ideal for a postdoctoral researcher or experienced engineer looking to apply their skills in a hands-on, fast-paced commercial environment. Job Description Duties and Responsibilities: Plan and carry out experiments and simulations to support the development and optimisation of our next-generation microfluidic sorting chips and fluidic cartridges. Analyse experimental and simulation data, draw conclusions, and recommend next steps within the scope of assigned work. Use numerical simulation tools (e.g. COMSOL, ANSYS, OpenFOAM) to model chip performance and de-risk designs and contribute technical input to chip design, process decisions, and validation activities. Write and run Python scripts for test automation and data analysis. Perform detailed performance analysis, summarise key findings, and present to findings to project teams and stakeholders; may represent the company in technical discussions with external partners, collaborators, or at conferences. Collaborate with external MEMS foundries to specify wafer builds, review process flows, and track fabrication progress. Work closely with internal teams across software, electronics, and biology to ensure smooth integration into the full system. Knowledge and Qualifications: Degree in Physics, Engineering, Microfluidics, MEMS, or a related discipline. The minimum required relevant experience is 2-5 years with a PhD, 4-8 years with a Master's, or 6-10 years with a Bachelor. Strong understanding of fluid dynamics and microfluidic systems, with experience in designing and conducting experiments, analysing data, and interpreting results. Understanding of MEMS fabrication techniques (sputtering, ALD, RIE, DRIE, PECVD, etc.) and ability to contribute to process flow decisions (experience working directly with MEMS or microfluidic chip fabrication is an asset). Proficiency in Python for data analysis and/or test automation with experience using simulation tools (COMSOL, ANSYS, OpenFOAM, or similar). Exposure and familiarity with optical systems (e.g. microscopy, lasers, high-speed imaging) is an asset. Strong problem-solving skills and ability to work independently on assigned tasks with effective verbal and written communication skills. STEMCELL Technologies is a privately owned, Vancouver-based biotechnology company that helps power leading-edge life science research around the world. Driven by our love of science and passion for quality, we are a company of Scientists Helping Scientists-standing by our customers to provide the outstanding products, technical support, and training they need to advance their research. Scientists performing stem cell, immunology, cancer, regenerative medicine, and cellular therapy research are among those who rely on our cell culture media, cell separation products, instruments, accessory products, and services. Through our many regional offices, as well as our distribution centers in Vancouver, Seattle, Grenoble, and Singapore, we deliver our innovative, specialized products to more than 100 countries. With over 1,800 employees globally, STEMCELL is proud to be the largest biotechnology employer in Canada. This is an opportunity to work with highly motivated colleagues in a science-oriented, creative, and dynamic environment. We offer a competitive salary, excellent benefits, and meaningful career development opportunities. STEMCELL is well recognized for exceptional leadership and business practices. We are one of Canada's Best Managed Companies and operate an ISO 14001-certified environmental management system to measure and reduce our environmental impact. As an equal opportunity employer, STEMCELL is dedicated to ensuring that every employee feels safe, valued, and respected for who they are. We know that scientific progress and innovation occur when diverse, creative minds come together and we are committed to nurturing a culture of inclusivity and belonging. STEMCELL enforces a zero-tolerance policy for any form of discrimination. Selection decisions are solely based on job-related factors. The annual salary for this job ranges from: £43,900.00 - £65,900.00 STEMCELL determines an individual's pay within the range based on multiple factors including experience, education, job-related skills, and equity within the team or organization. For jobs that are eligible for sales incentives, the range noted above is inclusive of target incentives; actual incentives are based on individual performance results in accordance with company policy. In addition to base salary, STEMCELL offers a comprehensive total rewards package that may include health benefits, retirement savings, and more (depending on region). To apply, please select the "Apply" button below. You will then be directed to a login screen asking you to set up an account, which is required to apply.