hackajob is collaborating with Sporty Group to connect them with exceptional professionals for this role. About the role As a Data Scientist at Sporty, you will build and productionize data-driven ML systems that enhance personalization, search, and recommendation experiences, with a clear focus on measurable business impact. The role combines advanced analytics, Python-based modelling, and cloud engineering to solve real-world problems at scale in a fast-paced product environment. Our Stack SQL Python AWS/Azure/GCP What you'll be doing Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates. Develop and productionize ML/AI systems across multiple domains - including search ranking, recommendation, and content intelligence - that directly impact user growth and business outcomes. What you'll bring Hands-on experience applying statistical and ML models to real business problems, with measurable impact on revenue or key business outcomes Advanced understanding of Python and the quantitative analysis ecosystem in Python Strong foundation in probability theory, statistics, machine learning, and linear algebra 2+ years of experience as a data scientist, quantitative researcher, quantitative analyst, or another relevant role Knowledge of SQL and experience with relational databases Proficient with AI tools and agents as part of daily development workflow; this role regularly leverages AI-assisted development to accelerate delivery Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering Project and stakeholder management experience is preferred Even better if you have Apache Spark Experience working in cloud platforms (AWS, GCP, Microsoft Azure) Relevant knowledge or experience in the gaming industry Solid computer science background What's in it for you Sporty is a remote first company in pursuit of sustainability A competitive salary + individual performance based bonuses every quarter 28 days paid annual leave Our core working hours are 10am-3pm in your local time zone with flexibility outside of this Referral bonuses & flash bonuses Top of the line equipment Annual company retreats to provide great internal networking opportunities Interview Process Remote video screening with our Talent Acquisition Team Online home assignment Remote video interview with Team Members (3x45 Mins) If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.
Jul 14, 2026
Full time
hackajob is collaborating with Sporty Group to connect them with exceptional professionals for this role. About the role As a Data Scientist at Sporty, you will build and productionize data-driven ML systems that enhance personalization, search, and recommendation experiences, with a clear focus on measurable business impact. The role combines advanced analytics, Python-based modelling, and cloud engineering to solve real-world problems at scale in a fast-paced product environment. Our Stack SQL Python AWS/Azure/GCP What you'll be doing Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates. Develop and productionize ML/AI systems across multiple domains - including search ranking, recommendation, and content intelligence - that directly impact user growth and business outcomes. What you'll bring Hands-on experience applying statistical and ML models to real business problems, with measurable impact on revenue or key business outcomes Advanced understanding of Python and the quantitative analysis ecosystem in Python Strong foundation in probability theory, statistics, machine learning, and linear algebra 2+ years of experience as a data scientist, quantitative researcher, quantitative analyst, or another relevant role Knowledge of SQL and experience with relational databases Proficient with AI tools and agents as part of daily development workflow; this role regularly leverages AI-assisted development to accelerate delivery Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering Project and stakeholder management experience is preferred Even better if you have Apache Spark Experience working in cloud platforms (AWS, GCP, Microsoft Azure) Relevant knowledge or experience in the gaming industry Solid computer science background What's in it for you Sporty is a remote first company in pursuit of sustainability A competitive salary + individual performance based bonuses every quarter 28 days paid annual leave Our core working hours are 10am-3pm in your local time zone with flexibility outside of this Referral bonuses & flash bonuses Top of the line equipment Annual company retreats to provide great internal networking opportunities Interview Process Remote video screening with our Talent Acquisition Team Online home assignment Remote video interview with Team Members (3x45 Mins) If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.
hackajob is collaborating with Leonardo to connect them with exceptional professionals for this role. Job Description: Your impact Are you ready to start your career in data engineering and support solutions that underpin secure, high-integrity systems and services? At Leonardo UK, our Data Engineer Technicians assist with data workflows, automation, and integration under the guidance of experienced engineers. Your work at Leonardo UK will see you take the lead in solving customer problems in an agile, innovative and team-centric manner. The role may involve a blended hybrid working model, with a mixture of working from home and working on site at one of our Leonardo offices to ensure close collaboration with the wider team and with our customers. What you will do as a Data Engineer Assist in designing and building secure, scalable data solutions under guidance, progressing to independent tasks. Develop tools for data-driven insights and task automation Research and train in emerging technologies Work with cloud platforms and diverse operating systems Support development and deployment of machine learning models Collaborate with DevOps Engineers, Data Scientists, Analysts and Cyber Consultants Leverage big data technologies and orchestration tools Document processes and maintain configuration records Participate in team meetings and knowledge-sharing sessions What you'll bring Assist in preparing and integrating data across systems. Support ETL processes and basic pipeline testing. Maintain documentation and configuration records. Learn and apply secure coding practices. Ability to work independently on defined tasks and escalate issues when needed Core Areas (must have): Data engineering fundamentals (ETL, pipelines). Programming (Python, SQL). Cloud and orchestration exposure. Documentation and compliance awareness. Collaboration and communication. Desirable: Degree in STEM, Data, AI or Programming-related field Experience to Docker and APIs Familiarity with CI/CD practices Interest in Agile and DevOps practices. Exposure to big data tools e.g. Spark, Hadoop, NiFi Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Bristol - Coldharbour Lane Contract Type: Permanent Hybrid Working: Hybrid
Jul 14, 2026
Full time
hackajob is collaborating with Leonardo to connect them with exceptional professionals for this role. Job Description: Your impact Are you ready to start your career in data engineering and support solutions that underpin secure, high-integrity systems and services? At Leonardo UK, our Data Engineer Technicians assist with data workflows, automation, and integration under the guidance of experienced engineers. Your work at Leonardo UK will see you take the lead in solving customer problems in an agile, innovative and team-centric manner. The role may involve a blended hybrid working model, with a mixture of working from home and working on site at one of our Leonardo offices to ensure close collaboration with the wider team and with our customers. What you will do as a Data Engineer Assist in designing and building secure, scalable data solutions under guidance, progressing to independent tasks. Develop tools for data-driven insights and task automation Research and train in emerging technologies Work with cloud platforms and diverse operating systems Support development and deployment of machine learning models Collaborate with DevOps Engineers, Data Scientists, Analysts and Cyber Consultants Leverage big data technologies and orchestration tools Document processes and maintain configuration records Participate in team meetings and knowledge-sharing sessions What you'll bring Assist in preparing and integrating data across systems. Support ETL processes and basic pipeline testing. Maintain documentation and configuration records. Learn and apply secure coding practices. Ability to work independently on defined tasks and escalate issues when needed Core Areas (must have): Data engineering fundamentals (ETL, pipelines). Programming (Python, SQL). Cloud and orchestration exposure. Documentation and compliance awareness. Collaboration and communication. Desirable: Degree in STEM, Data, AI or Programming-related field Experience to Docker and APIs Familiarity with CI/CD practices Interest in Agile and DevOps practices. Exposure to big data tools e.g. Spark, Hadoop, NiFi Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Bristol - Coldharbour Lane Contract Type: Permanent Hybrid Working: Hybrid
Basecamp Research in London is seeking a Senior Research Scientist to join their AI Research team. You will work at the intersection of mathematics and machine learning, tackling complex problems in biological AI. The role involves shaping research directions, training large-scale models, and collaborating with experts across various fields. Candidates should have a PhD in a quantitative field, a strong publication record, and a genuine curiosity about biology. Basecamp Research offers a collaborative culture, unique datasets, competitive salary, equity, and comprehensive benefits.
Jul 14, 2026
Full time
Basecamp Research in London is seeking a Senior Research Scientist to join their AI Research team. You will work at the intersection of mathematics and machine learning, tackling complex problems in biological AI. The role involves shaping research directions, training large-scale models, and collaborating with experts across various fields. Candidates should have a PhD in a quantitative field, a strong publication record, and a genuine curiosity about biology. Basecamp Research offers a collaborative culture, unique datasets, competitive salary, equity, and comprehensive benefits.
About Us Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organizations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development. In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognized with honors including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups. At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges. If you feel passionate about the power of biology, data, and AI to build a better world, we'd love to hear from you. The Role We are looking for a Senior Research Scientist to join our AI Research team in London. You will work at the intersection of mathematics and machine learning, bringing rigorous quantitative thinking to some of the most challenging problems in biological AI. Our research group is small, collaborative, and operates more like a frontier research lab than a typical biotech team. We train large-scale foundation models on the world's largest and richest metagenomic datasets, and we look for people who can push the mathematical boundaries of what these models can learn and represent. The work requires developing new methods and theories from scratch. This is a role with real ownership. You will shape a research direction within the team, publish at top venues, and see your work translated into models that generate genuinely novel biology. The problems are hard, the data is unique, and the impact is tangible. You'll be reporting to the Head of AI Research and working alongside researchers covering genomics, sequence modeling, and large-scale deep learning, as well as biologists, bioinformaticians, and engineers across the wider company. About You PhD in mathematics, physics, or a closely related quantitative field. Your work in AI and machine learning is driven by curiosity, and you've brought a depth of mathematical thinking that clearly distinguishes your work. You have spent meaningful time on frontier research and you already have an understanding of how top research teams operate, from problem selection to large-scale experimentation to shipping results that matter. Your research interests might span generative models, geometric deep learning, probabilistic modeling, dynamical systems, information geometry, optimization theory, or related areas. What matters most is that you think from first principles and bring mathematical structure to hard problems. You have a strong publication record at top ML venues (NeurIPS, ICML, ICLR, or equivalent) that demonstrates independent thinking and a coherent research arc. You are genuinely curious about biology. Domain expertise is welcome, and what we really care about is that you find it exciting to work with data from unexplored ecosystems encoding billions of years of evolutionary optimization. The best candidates will see biological data as a source of fundamentally new scientific questions. You have low ego, strong collaborative instincts, and a startup mentality. You are comfortable with ambiguity, willing to iterate fast, and happy to work in a small team where everyone contributes across boundaries. Nice to Have Experience training models at large scale (billions of parameters, extreme long context, distributed training, custom architectures). Domain knowledge in life sciences, genomics, or computational biology, e.g., familiarity with protein structure, molecular dynamics, or related biophysical methods. What we offer in return Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast-moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics. Collaborative Culture: You'll be surrounded by world-class engineers, scientists, and researchers who care deeply about their work and about each other. With offices in London and Boston, we've built a flexible, cross-functional environment where personal development and real ownership aren't just talking points. High Growth: We truly believe in investing our people we make coaching available to team members during steep growth journeys and we have twice yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace and we ensure reward increases with impact. Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions so strong that means most employees' family members opt into our plan over their own. We also offer Carrot Fertility with IVF stipend, salary sacrifice pension, bike to work scheme, life insurance, and more. We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating do let us know.
Jul 13, 2026
Full time
About Us Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organizations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development. In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognized with honors including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups. At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges. If you feel passionate about the power of biology, data, and AI to build a better world, we'd love to hear from you. The Role We are looking for a Senior Research Scientist to join our AI Research team in London. You will work at the intersection of mathematics and machine learning, bringing rigorous quantitative thinking to some of the most challenging problems in biological AI. Our research group is small, collaborative, and operates more like a frontier research lab than a typical biotech team. We train large-scale foundation models on the world's largest and richest metagenomic datasets, and we look for people who can push the mathematical boundaries of what these models can learn and represent. The work requires developing new methods and theories from scratch. This is a role with real ownership. You will shape a research direction within the team, publish at top venues, and see your work translated into models that generate genuinely novel biology. The problems are hard, the data is unique, and the impact is tangible. You'll be reporting to the Head of AI Research and working alongside researchers covering genomics, sequence modeling, and large-scale deep learning, as well as biologists, bioinformaticians, and engineers across the wider company. About You PhD in mathematics, physics, or a closely related quantitative field. Your work in AI and machine learning is driven by curiosity, and you've brought a depth of mathematical thinking that clearly distinguishes your work. You have spent meaningful time on frontier research and you already have an understanding of how top research teams operate, from problem selection to large-scale experimentation to shipping results that matter. Your research interests might span generative models, geometric deep learning, probabilistic modeling, dynamical systems, information geometry, optimization theory, or related areas. What matters most is that you think from first principles and bring mathematical structure to hard problems. You have a strong publication record at top ML venues (NeurIPS, ICML, ICLR, or equivalent) that demonstrates independent thinking and a coherent research arc. You are genuinely curious about biology. Domain expertise is welcome, and what we really care about is that you find it exciting to work with data from unexplored ecosystems encoding billions of years of evolutionary optimization. The best candidates will see biological data as a source of fundamentally new scientific questions. You have low ego, strong collaborative instincts, and a startup mentality. You are comfortable with ambiguity, willing to iterate fast, and happy to work in a small team where everyone contributes across boundaries. Nice to Have Experience training models at large scale (billions of parameters, extreme long context, distributed training, custom architectures). Domain knowledge in life sciences, genomics, or computational biology, e.g., familiarity with protein structure, molecular dynamics, or related biophysical methods. What we offer in return Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast-moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics. Collaborative Culture: You'll be surrounded by world-class engineers, scientists, and researchers who care deeply about their work and about each other. With offices in London and Boston, we've built a flexible, cross-functional environment where personal development and real ownership aren't just talking points. High Growth: We truly believe in investing our people we make coaching available to team members during steep growth journeys and we have twice yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace and we ensure reward increases with impact. Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions so strong that means most employees' family members opt into our plan over their own. We also offer Carrot Fertility with IVF stipend, salary sacrifice pension, bike to work scheme, life insurance, and more. We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating do let us know.
Account Manager Manchester £40,000 - £45,000 + Bonuses + Commission (OTE £57,000+) + Remote Working + Technical Training + Private Healthcare + Holidays + Career Progression + Industry-Leading Pension + Company Car Immediate Start Join an industry-leading laboratory equipment business as an Account Manager and develop your career with a company renowned for innovation, technical excellence, and investing in its people. Receive specialist product training, enhance your technical knowledge, and progress into senior commercial or leadership roles while earning an outstanding package. This global market leader is continuing to expand and is looking for an ambitious Account Manager to take ownership of the laboratory consumables side of the business across a well-established customer base. You'll work closely with laboratories, research facilities, pharmaceutical manufacturers, and scientific organisations, building long-term relationships and delivering consultative solutions that add real value. If you're looking for a company that genuinely prioritises technical development and career progression, this is an opportunity not to be missed. Your Role As An Account Manager Will Include: Managing and developing existing laboratory and scientific customer accountsPromoting a range of pipettes, liquid handling solutions, and laboratory productsBuilding strong relationships with laboratory managers, scientists, researchers, and procurement teamsIdentifying opportunities to grow revenue across your customer portfolioProviding consultative product support and delivering solutions tailored to customer requirementsRemote role covering Manchester and surrounding areas As An Account Manager You Will Have: Experience in Account Management, Sales, or Business DevelopmentA background selling into laboratories, life sciences, pharmaceuticals, healthcare, or scientific environments (preferred)Science, Chemistry / Similar Degree A consultative and customer-focused approachFull UK Driving LicenceHappy to travel across your territory Please Apply Or Call Charlie Auburn on
Jul 12, 2026
Full time
Account Manager Manchester £40,000 - £45,000 + Bonuses + Commission (OTE £57,000+) + Remote Working + Technical Training + Private Healthcare + Holidays + Career Progression + Industry-Leading Pension + Company Car Immediate Start Join an industry-leading laboratory equipment business as an Account Manager and develop your career with a company renowned for innovation, technical excellence, and investing in its people. Receive specialist product training, enhance your technical knowledge, and progress into senior commercial or leadership roles while earning an outstanding package. This global market leader is continuing to expand and is looking for an ambitious Account Manager to take ownership of the laboratory consumables side of the business across a well-established customer base. You'll work closely with laboratories, research facilities, pharmaceutical manufacturers, and scientific organisations, building long-term relationships and delivering consultative solutions that add real value. If you're looking for a company that genuinely prioritises technical development and career progression, this is an opportunity not to be missed. Your Role As An Account Manager Will Include: Managing and developing existing laboratory and scientific customer accountsPromoting a range of pipettes, liquid handling solutions, and laboratory productsBuilding strong relationships with laboratory managers, scientists, researchers, and procurement teamsIdentifying opportunities to grow revenue across your customer portfolioProviding consultative product support and delivering solutions tailored to customer requirementsRemote role covering Manchester and surrounding areas As An Account Manager You Will Have: Experience in Account Management, Sales, or Business DevelopmentA background selling into laboratories, life sciences, pharmaceuticals, healthcare, or scientific environments (preferred)Science, Chemistry / Similar Degree A consultative and customer-focused approachFull UK Driving LicenceHappy to travel across your territory Please Apply Or Call Charlie Auburn on
Flagship Labs 110 Inc. (FL110) seeks a visionary scientific leader to serve as VP, Head of Research & Platform Development. You will define the scientific strategy and lead the development of a nanopore-based protein reading platform, guiding cross-disciplinary teams in nanopore science, protein translocation, molecular engineering, and related software. The role requires a PhD, 10+ years of leadership, a proven track record in multidisciplinary programs, and the ability to translate
Jul 12, 2026
Full time
Flagship Labs 110 Inc. (FL110) seeks a visionary scientific leader to serve as VP, Head of Research & Platform Development. You will define the scientific strategy and lead the development of a nanopore-based protein reading platform, guiding cross-disciplinary teams in nanopore science, protein translocation, molecular engineering, and related software. The role requires a PhD, 10+ years of leadership, a proven track record in multidisciplinary programs, and the ability to translate
About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. Role Overview As an Options Trader at G-20Group, you willbe responsible formanaging a discretionary options portfolio across a number of asset classes. You will work with a team of traders, quantitative analysts, and developers to generate superior risk-adjusted returns for the firm. This role offers a unique opportunity to contribute to the growth of a highly successful trading firm in a fast-paced and dynamic environment. Key Responsibilities Develop, implement, and optimize options trading strategies across global markets. Analyze market data and leverage quantitative models to identify profitable trading opportunities. Monitor and manage risk exposures, ensuring strategies align with risk management protocols. Collaborate with data scientists, quants, and other traders to refine and improve trading algorithms and strategies. Stay up-to-date on market trends, news, and economic events that could impact options prices and volatility. Execute trades and manage positions effectively, ensuring optimal execution and liquidity. Contribute to the continuous improvement of G-20 Group's trading systems and technologies. Qualifications Degree in Finance, Mathematics, Physics, Computer Science, Engineering, or a related field from a top-tier university. Strong background in options trading with a solid understanding of the options market and strategies. Proven track record of generating consistent profits (PnL >$2m for more than 3 years). Experience with quantitative trading and the ability to apply data analysis to trading decisions. Strong knowledge of financial markets, particularly options pricing, volatility, and risk management. Exceptional analytical and problem-solving skills with the ability to make quick, data-driven decisions. Excellent communication and teamwork skills, with the ability to collaborate effectively across teams. A results-driven, proactive, and self-motivated approach. Preferred / Desirable Experience Proficiencyin programming languages such as Python, C++, or similar (preferred). Right towork: This role can be based from our London, New York or Chicago offices. Only candidates who possessthe pre-existing right to work in London or the US without requiring company sponsorship needapply. Join G-20Groupand be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.
Jul 11, 2026
Full time
About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. Role Overview As an Options Trader at G-20Group, you willbe responsible formanaging a discretionary options portfolio across a number of asset classes. You will work with a team of traders, quantitative analysts, and developers to generate superior risk-adjusted returns for the firm. This role offers a unique opportunity to contribute to the growth of a highly successful trading firm in a fast-paced and dynamic environment. Key Responsibilities Develop, implement, and optimize options trading strategies across global markets. Analyze market data and leverage quantitative models to identify profitable trading opportunities. Monitor and manage risk exposures, ensuring strategies align with risk management protocols. Collaborate with data scientists, quants, and other traders to refine and improve trading algorithms and strategies. Stay up-to-date on market trends, news, and economic events that could impact options prices and volatility. Execute trades and manage positions effectively, ensuring optimal execution and liquidity. Contribute to the continuous improvement of G-20 Group's trading systems and technologies. Qualifications Degree in Finance, Mathematics, Physics, Computer Science, Engineering, or a related field from a top-tier university. Strong background in options trading with a solid understanding of the options market and strategies. Proven track record of generating consistent profits (PnL >$2m for more than 3 years). Experience with quantitative trading and the ability to apply data analysis to trading decisions. Strong knowledge of financial markets, particularly options pricing, volatility, and risk management. Exceptional analytical and problem-solving skills with the ability to make quick, data-driven decisions. Excellent communication and teamwork skills, with the ability to collaborate effectively across teams. A results-driven, proactive, and self-motivated approach. Preferred / Desirable Experience Proficiencyin programming languages such as Python, C++, or similar (preferred). Right towork: This role can be based from our London, New York or Chicago offices. Only candidates who possessthe pre-existing right to work in London or the US without requiring company sponsorship needapply. Join G-20Groupand be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.
About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on About The Job Mistral AI is looking for Applied Scientists with deep domain and industrial expertise in physics and engineering sciences to work at the frontier of AI-accelerated simulation. You will work with industrial customers and internal research teams to build and deploy AI Physics Models alongside our existing offerings of Large Language Models. You will contribute across the full stack: leveraging your deep domain expertise to understand complex problems that will be tackled with frontier AI. Curating high-fidelity simulation datasets, training and evaluating models, and delivering production-grade AI solutions directly to engineering teams. Target domains include computational fluid dynamics, structural mechanics, semiconductor design, multi-physics modelling, and digital twins. Working cross-functionally with research, product, and customer-facing teams, you will ensure our models meet real engineering standards, not just benchmark metrics. What you will do Design and run large-scale simulation campaigns using domain-specific solvers (e.g. OpenFOAM, ANSYS, COMSOL, Abaqus) Run training of AI models on physics data, with rigorous evaluation of coverage, accuracy, and quality against industry validation standards Build tools and frameworks for automated dataset creation, simulation pipeline management, and model evaluation Collaborate closely with the science/research team on training runs and diagnose failure modes arising from data gaps or architecture limitations Manage research projects and client communications with engineering teams About you Fluent English with excellent communication skills - able to explain technical simulation concepts to both engineering and non-technical audiences Have a PhD in physics or engineering and 5 years+ of industry experience in a relevant domain. You work in a key engineering industry: Automotive, Aerospace or Semiconductors and have an interest in machine learning. Self-directed - you don't need detailed roadmaps to make progress Low-ego, collaborative, and eager to learn at the intersection of simulation and ML Demonstrated success through industrial projects, academic work, or personal projects It would be great if you Have a deep passion for machine learning Have industrial or academic experience with simulation solvers (e.g. OpenFOAM, ANSYS, COMSOL, Abaqus, or equivalent) Have applied ML methods to simulation or surrogate modelling Have experience automating large-scale simulation campaigns on HPC clusters Have contributed to a large open-source or industry codebase Have publications in engineering or ML venues (NeurIPS, ICLR, etc.) Love improving existing code by fixing typing issues, adding tests and improving CI pipelines Benefits Locations: Munich, Paris, London, Amsterdam, Lausanne, Linz. Hybrid work model. France Competitive cash salary and equity Daily lunch vouchers Monthly contribution to a Gympass subscription Monthly contribution to a mobility pass Full health insurance for you and your family Generous parental leave policy Visa sponsorship UK Competitive cash salary and equity Health insurance Transportation reimbursement (office parking or £90/month public transport) £90/month gym membership reimbursement £200/month meal allowance Pension plan: SmartPension (5% Employee & 3% Employer) By applying, you agree to our Applicant Privacy Policy.
Jul 11, 2026
Full time
About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on About The Job Mistral AI is looking for Applied Scientists with deep domain and industrial expertise in physics and engineering sciences to work at the frontier of AI-accelerated simulation. You will work with industrial customers and internal research teams to build and deploy AI Physics Models alongside our existing offerings of Large Language Models. You will contribute across the full stack: leveraging your deep domain expertise to understand complex problems that will be tackled with frontier AI. Curating high-fidelity simulation datasets, training and evaluating models, and delivering production-grade AI solutions directly to engineering teams. Target domains include computational fluid dynamics, structural mechanics, semiconductor design, multi-physics modelling, and digital twins. Working cross-functionally with research, product, and customer-facing teams, you will ensure our models meet real engineering standards, not just benchmark metrics. What you will do Design and run large-scale simulation campaigns using domain-specific solvers (e.g. OpenFOAM, ANSYS, COMSOL, Abaqus) Run training of AI models on physics data, with rigorous evaluation of coverage, accuracy, and quality against industry validation standards Build tools and frameworks for automated dataset creation, simulation pipeline management, and model evaluation Collaborate closely with the science/research team on training runs and diagnose failure modes arising from data gaps or architecture limitations Manage research projects and client communications with engineering teams About you Fluent English with excellent communication skills - able to explain technical simulation concepts to both engineering and non-technical audiences Have a PhD in physics or engineering and 5 years+ of industry experience in a relevant domain. You work in a key engineering industry: Automotive, Aerospace or Semiconductors and have an interest in machine learning. Self-directed - you don't need detailed roadmaps to make progress Low-ego, collaborative, and eager to learn at the intersection of simulation and ML Demonstrated success through industrial projects, academic work, or personal projects It would be great if you Have a deep passion for machine learning Have industrial or academic experience with simulation solvers (e.g. OpenFOAM, ANSYS, COMSOL, Abaqus, or equivalent) Have applied ML methods to simulation or surrogate modelling Have experience automating large-scale simulation campaigns on HPC clusters Have contributed to a large open-source or industry codebase Have publications in engineering or ML venues (NeurIPS, ICLR, etc.) Love improving existing code by fixing typing issues, adding tests and improving CI pipelines Benefits Locations: Munich, Paris, London, Amsterdam, Lausanne, Linz. Hybrid work model. France Competitive cash salary and equity Daily lunch vouchers Monthly contribution to a Gympass subscription Monthly contribution to a mobility pass Full health insurance for you and your family Generous parental leave policy Visa sponsorship UK Competitive cash salary and equity Health insurance Transportation reimbursement (office parking or £90/month public transport) £90/month gym membership reimbursement £200/month meal allowance Pension plan: SmartPension (5% Employee & 3% Employer) By applying, you agree to our Applicant Privacy Policy.
Since 1843, The Economist Group has championed independence, excellence and openness, helping people understand and tackle the critical challenges shaping the world. Today, we are building on that legacy as a global media and information-services company powered by digital innovation, analytical rigour and evidence-based insight. Across our three businesses - The Economist, Economist Enterprise and Economist Education - we deliver trusted analysis and insights to individuals and organisations in more than 170 countries. United by a shared purpose to drive progress, we empower decision-makers to make sense of change and chart a course through an increasingly complex world. As a colleague, you will be part of a culture that values ideas, encourages ownership and holds itself to high standards. We invest in people who are curious, thoughtful and adaptable, whether they are launching new products, reporting on global events or harnessing emerging technologies such as AI to improve how we work. Here, fresh thinking is taken seriously, ambition is matched by integrity, and great work is recognised. Working across disciplines, geographies and perspectives, we are united by a commitment to innovation, excellence and creating meaningful impact. Role Title: Head of Data Science Location: UK-based (with support from India-based teams) Reports to: VP Insights & Decision Science Team: 6 Data Scientists (split between Decision Science and Personalisation) Purpose of Role The Head of Data Science is a high-impact leadership position responsible for building and leading a world-class "decision engine" team. As a key architect of our "AI-powered future," you will accelerate the transformation The Economist's Data Science team from a service provider into a "trusted adviser" that delivers commercially transformative advice and world-class personalisation capabilities You will be responsible for setting and raising the technical and operational standards of the team, fostering a culture of technical excellence and innovation. Your remit covers two critical pillars: Decision Science: Building the "muscle" for causal inference and advanced forecasting to support high-stakes strategic decisions e.g. understanding the relationship between subscriber behaviour/engagement and retention/value, marketing and media optimisation, understanding the drivers of content performance, pricing and discounting strategy, customer lifetime value modeling, etc. Personalisation: Rapidly maturing our recommendation and pricing engines to drive improvements in subscriber acquisition, engagement, retention and lifetime value metrics Measures of Success Qualitative Measures: Culture of Excellence: Recognition as a "torch-bearer" for excellence who sets and consistently meets the highest standards in quality, pace, and expertise. Talent Development: Evidence of nurturing a high-performance team with a clear pipeline of talent and technical growth. Scaling & Reliability: Implementation, in collaboration with the Engineering team, of robust build, MLOps and architectural standards that enable rapid experimentation, build and deployment cycles and that ensure model reliability, observability, and reusability Trusted Adviser Status: The extent to which senior business and technical stakeholders proactively seek your team's expertise for complex technical and strategic questions. Quantitative Measures: Material Commercial Impact: Quantifiable and material net revenue growth and operational savings directly attributable to technical innovations (e.g., pricing models, personalization uplift). Model Performance & Velocity: Significant improvement in the speed of model development/deployment and the accuracy of causal models/diagnostics. Adoption & Engagement: High levels of integration and usage of data science products across the organization's core workflows and experiences Role Responsibilities Team Leadership & Talent Nurturing: Lead, mentor, and develop a high-performance team of 6 Data Scientists. You will be accountable for their technical growth and for maintaining a "T-shaped" culture that combines both broad and deep technical/business expertise. Technical Standards & MLOps: Own the technical architecture and MLOps lifecycle for data science. In collaboration with the Data Engineering and AI Platform teams, you will drive excellence and pace in the build, deployment, testing, and monitoring of models using Amazon Sagemaker and occasionally Snowflake Causal Inference & Decision Science: Lead the development of advanced causal models (e.g., Media Mix Modelling, retention drivers, and simulation models) to move the business from descriptive "what happened" to prescriptive 'what next' and "what if" insights. Personalisation Strategy & Activation: Oversee the Personalisation Analysts in their close collaboration with Marketing and Product teams to identify and execute opportunities using our CDP and activation platforms (Salesforce, Airship, Blueconic and Amplitude). NLP & Generative AI Innovation: Leverage NLP and transformer architectures to enhance content tagging and use Generative AI to supercharge internal AIML workflows, including model testing and documentation. Stakeholder Consultancy: Act as a senior technical consultant to executive fora, translating complex technical findings into compelling, actionable narratives. Democratizing AI & ML: Driving adoption of AI & ML techniques and tools in the wider Data, Research & Insight team and in the wider business Candidate Profile Must-Have Experience & Expertise: Proven Leadership: A track record of building and raising standards within high-performance data science teams, with a demonstrable focus on talent development. Technical Innovation with ROI: A proven record of delivering technical innovations that have resulted in quantifiable and material commercial benefits. Curiosity with Purpose: A restless intellect that is constantly seeking to grow their skills and knowledge and, crucially, an operational and practical mindset that finds ways to apply that knowledge to deliver commercial benefits Decision Science & Causal Inference: Deep expertise in causal inference, forecasting, and simulation techniques used to support business decision-making and to develop commercial and product strategy. Personalised User Experiences & Journeys: Sustained track record of delivering performant and innovative AI & ML models that result in enhanced subscriber experience and commercial performance improvement through content recommendations, product recommendations, personalised pricing and customer journey orchestration. Engineering Excellence: Strong experience in MLOps, model architecture, and delivering models at scale using AWS/Sagemaker. Modern AI Stack: Hands on experience with NLP, neural networks, transformer architectures, causal inference and the application of Generative AI in the AIML lifecycle. Commercial Agency: An "owner's mindset" with the bravery to find and fix problems proactively and a focus on opportunity over risk. Subscription/Journalistic Context: Experience in a premium news or subscription based environment, understanding the specific challenges of content based engagement. Activation Platforms: Familiarity with activation via CDPs (e.g. Salesforce, Airship, Blueconic) and product analytics tools (e.g. Amplitude). AI Transformation: Experience in evolving a traditional analytics function into an AI-forward team that leverages "full-stack" capabilities. Working Arrangements The majority of our roles operate on a hybrid working pattern, with 3+ days office attendance required. AI usage for your application We are an innovative organisation that encourages the use of technology. We recognise that candidates may utilise AI tools to support with their job application process. However, it is essential that all information you provide truthfully and accurately reflects your own experience, skills, and qualifications. What we offer Our benefits package is designed to support your wellbeing, growth, and work-life balance. It includes a highly competitive pension or 401(k) plan, private health insurance, and 24/7 access to counselling and wellbeing resources through our Employee Assistance Program. We also offer a range of lifestyle benefits, including our Work From Anywhere program, which allows you to work from any location where you have the legal right to do so for up to 25 days per year. In addition, we provide generous annual and parental leave, as well as dedicated days off for volunteering and even for moving home. You will also be given free access to all The Economist content, including an online subscription, our range of apps, podcasts and more.
Jul 11, 2026
Full time
Since 1843, The Economist Group has championed independence, excellence and openness, helping people understand and tackle the critical challenges shaping the world. Today, we are building on that legacy as a global media and information-services company powered by digital innovation, analytical rigour and evidence-based insight. Across our three businesses - The Economist, Economist Enterprise and Economist Education - we deliver trusted analysis and insights to individuals and organisations in more than 170 countries. United by a shared purpose to drive progress, we empower decision-makers to make sense of change and chart a course through an increasingly complex world. As a colleague, you will be part of a culture that values ideas, encourages ownership and holds itself to high standards. We invest in people who are curious, thoughtful and adaptable, whether they are launching new products, reporting on global events or harnessing emerging technologies such as AI to improve how we work. Here, fresh thinking is taken seriously, ambition is matched by integrity, and great work is recognised. Working across disciplines, geographies and perspectives, we are united by a commitment to innovation, excellence and creating meaningful impact. Role Title: Head of Data Science Location: UK-based (with support from India-based teams) Reports to: VP Insights & Decision Science Team: 6 Data Scientists (split between Decision Science and Personalisation) Purpose of Role The Head of Data Science is a high-impact leadership position responsible for building and leading a world-class "decision engine" team. As a key architect of our "AI-powered future," you will accelerate the transformation The Economist's Data Science team from a service provider into a "trusted adviser" that delivers commercially transformative advice and world-class personalisation capabilities You will be responsible for setting and raising the technical and operational standards of the team, fostering a culture of technical excellence and innovation. Your remit covers two critical pillars: Decision Science: Building the "muscle" for causal inference and advanced forecasting to support high-stakes strategic decisions e.g. understanding the relationship between subscriber behaviour/engagement and retention/value, marketing and media optimisation, understanding the drivers of content performance, pricing and discounting strategy, customer lifetime value modeling, etc. Personalisation: Rapidly maturing our recommendation and pricing engines to drive improvements in subscriber acquisition, engagement, retention and lifetime value metrics Measures of Success Qualitative Measures: Culture of Excellence: Recognition as a "torch-bearer" for excellence who sets and consistently meets the highest standards in quality, pace, and expertise. Talent Development: Evidence of nurturing a high-performance team with a clear pipeline of talent and technical growth. Scaling & Reliability: Implementation, in collaboration with the Engineering team, of robust build, MLOps and architectural standards that enable rapid experimentation, build and deployment cycles and that ensure model reliability, observability, and reusability Trusted Adviser Status: The extent to which senior business and technical stakeholders proactively seek your team's expertise for complex technical and strategic questions. Quantitative Measures: Material Commercial Impact: Quantifiable and material net revenue growth and operational savings directly attributable to technical innovations (e.g., pricing models, personalization uplift). Model Performance & Velocity: Significant improvement in the speed of model development/deployment and the accuracy of causal models/diagnostics. Adoption & Engagement: High levels of integration and usage of data science products across the organization's core workflows and experiences Role Responsibilities Team Leadership & Talent Nurturing: Lead, mentor, and develop a high-performance team of 6 Data Scientists. You will be accountable for their technical growth and for maintaining a "T-shaped" culture that combines both broad and deep technical/business expertise. Technical Standards & MLOps: Own the technical architecture and MLOps lifecycle for data science. In collaboration with the Data Engineering and AI Platform teams, you will drive excellence and pace in the build, deployment, testing, and monitoring of models using Amazon Sagemaker and occasionally Snowflake Causal Inference & Decision Science: Lead the development of advanced causal models (e.g., Media Mix Modelling, retention drivers, and simulation models) to move the business from descriptive "what happened" to prescriptive 'what next' and "what if" insights. Personalisation Strategy & Activation: Oversee the Personalisation Analysts in their close collaboration with Marketing and Product teams to identify and execute opportunities using our CDP and activation platforms (Salesforce, Airship, Blueconic and Amplitude). NLP & Generative AI Innovation: Leverage NLP and transformer architectures to enhance content tagging and use Generative AI to supercharge internal AIML workflows, including model testing and documentation. Stakeholder Consultancy: Act as a senior technical consultant to executive fora, translating complex technical findings into compelling, actionable narratives. Democratizing AI & ML: Driving adoption of AI & ML techniques and tools in the wider Data, Research & Insight team and in the wider business Candidate Profile Must-Have Experience & Expertise: Proven Leadership: A track record of building and raising standards within high-performance data science teams, with a demonstrable focus on talent development. Technical Innovation with ROI: A proven record of delivering technical innovations that have resulted in quantifiable and material commercial benefits. Curiosity with Purpose: A restless intellect that is constantly seeking to grow their skills and knowledge and, crucially, an operational and practical mindset that finds ways to apply that knowledge to deliver commercial benefits Decision Science & Causal Inference: Deep expertise in causal inference, forecasting, and simulation techniques used to support business decision-making and to develop commercial and product strategy. Personalised User Experiences & Journeys: Sustained track record of delivering performant and innovative AI & ML models that result in enhanced subscriber experience and commercial performance improvement through content recommendations, product recommendations, personalised pricing and customer journey orchestration. Engineering Excellence: Strong experience in MLOps, model architecture, and delivering models at scale using AWS/Sagemaker. Modern AI Stack: Hands on experience with NLP, neural networks, transformer architectures, causal inference and the application of Generative AI in the AIML lifecycle. Commercial Agency: An "owner's mindset" with the bravery to find and fix problems proactively and a focus on opportunity over risk. Subscription/Journalistic Context: Experience in a premium news or subscription based environment, understanding the specific challenges of content based engagement. Activation Platforms: Familiarity with activation via CDPs (e.g. Salesforce, Airship, Blueconic) and product analytics tools (e.g. Amplitude). AI Transformation: Experience in evolving a traditional analytics function into an AI-forward team that leverages "full-stack" capabilities. Working Arrangements The majority of our roles operate on a hybrid working pattern, with 3+ days office attendance required. AI usage for your application We are an innovative organisation that encourages the use of technology. We recognise that candidates may utilise AI tools to support with their job application process. However, it is essential that all information you provide truthfully and accurately reflects your own experience, skills, and qualifications. What we offer Our benefits package is designed to support your wellbeing, growth, and work-life balance. It includes a highly competitive pension or 401(k) plan, private health insurance, and 24/7 access to counselling and wellbeing resources through our Employee Assistance Program. We also offer a range of lifestyle benefits, including our Work From Anywhere program, which allows you to work from any location where you have the legal right to do so for up to 25 days per year. In addition, we provide generous annual and parental leave, as well as dedicated days off for volunteering and even for moving home. You will also be given free access to all The Economist content, including an online subscription, our range of apps, podcasts and more.
Overview Does it excite you to build something from the ground up, and do you have deep expertise in peptide process chemistry and leading high-performing teams? If this sounds like you, and you are ready to shape the future of peptide drug substance development at a fast-growing biotech, then you could be our new colleague. Your new position Zealand Pharma is looking for a Global Head of Drug Substance - Senior Director, based in Boston. This is a rare opportunity to establish and lead a Peptide Process Development function from the ground up - building a Boston-based lab and team while providing global leadership across Drug Substance. The role owns the full arc from synthetic route scouting through Phase 1 and 2, laying the foundation for Phase 3-ready processes, and is central to enabling Zealand's growing pipeline of peptide therapeutics to reach patients. We offer exciting responsibilities: Establish and lead the Peptide Process Development lab in Boston, including hiring and developing a high-performing local team Provide global leadership and strategic direction for the Drug Substance function from early discovery to Phase 2 Lead synthetic route scouting and salt selection, evaluating alternative processes with yield, COGS, manufacturability, and scalability as key decision criteria Develop and optimize upstream and downstream process design to establish scalable, cost-effective synthetic routes fit for initial clinical trials and as the foundation for Phase 3 Partner closely with Analytical Development and Manufacturing to ensure processes are scalable, robust, and sustainable Drive technology transfer in collab with DK drug substance team to external CMOs, ensuring seamless transition from development to production Your profile The ideal candidate brings a track record of scientific excellence in peptide process chemistry combined with the leadership presence to inspire and grow a team. A pragmatic problem-solver and strategic thinker, this person thrives in a dynamic, build-phase environment and can balance hands-on technical depth with cross-functional influence. Comfort with ambiguity and a bias for action are essential. Advanced degree (PhD preferred) in Chemistry, Chemical Engineering, or a related field, with extensive experience in peptide process development Demonstrated leadership experience managing and developing cross-functional or global technical teams Deep expertise in solid-phase and/or liquid-phase peptide synthesis, purification, and process optimization across Phase 1, 2 and 3 clinical stages Broad experience across the full process development cycle, including synthetic route scouting, salt selection, upstream and downstream process optimization, and evaluation of process alternatives with a focus on yield, COGS, manufacturability, and scalability Knowledge of process development and technology transfer to GMP manufacturing, including CMO management Experience defining manufacturing strategies from early discovery to Phase 2, with an eye toward building a robust foundation for Phase 3 and commercial Strong cross-functional collaboration skills, particularly with Analytical Development and Manufacturing Your new team This role leads a globally distributed Drug Substance organization spanning two sites. In Boston, the role will establish a process wet lab staffed with process scientists focused on hands-on peptide process development and optimization. In Copenhagen, a DS team serves as the primary connection point to CMOs, ensuring alignment on manufacturing strategies, technology transfer, and day-to-day CMO oversight. Together, the two teams form a cohesive global function with complementary responsibilities, working in close partnership with colleagues across Research, Analytical Development, and Manufacturing. Let's bond and be bold We have a unique culture, characterized by excellent teamwork and strong engagement across the organization. And we want you to help us strengthen this culture. Making bonds is at the core of everything we do. From discovering and developing the best new peptide drugs for patients, to engaging with our partners or connecting with each other. We bond through curiosity and playfulness as a team, allowing ourselves to challenge common thinking and drive future innovation. Join us and let's bond and be bold. Interested in bonding with us? Then please apply as soon as possible. The applications will be reviewed as they come in. While a cover letter is not required, please include a few sentences in your CV explaining your motivation for applying. We are committed to an inclusive recruitment process and welcome applications from all job applicants. About Zealand Pharma A/S Zealand Pharma A/S (Nasdaq: ZEAL) is a biotechnology company focused on advancing medicines for obesity and metabolic health. Combining more than 25 years of peptide R&D expertise with a proprietary data platform that leverages advanced data-driven and AI/ML approaches, Zealand Pharma aims to lead a new era in obesity and metabolic health. To date, more than ten Zealand Pharma-invented drug candidates have entered clinical development, of which two products have reached the market and three candidates are in late-stage development. The Company has collaborations with global pharmaceutical and biotechnology partners for research, development, and commercialization. Founded in 1998, Zealand Pharma is headquartered in Copenhagen, Denmark, with a U.S. presence in Boston, Massachusetts. Learn more at .
Jul 11, 2026
Full time
Overview Does it excite you to build something from the ground up, and do you have deep expertise in peptide process chemistry and leading high-performing teams? If this sounds like you, and you are ready to shape the future of peptide drug substance development at a fast-growing biotech, then you could be our new colleague. Your new position Zealand Pharma is looking for a Global Head of Drug Substance - Senior Director, based in Boston. This is a rare opportunity to establish and lead a Peptide Process Development function from the ground up - building a Boston-based lab and team while providing global leadership across Drug Substance. The role owns the full arc from synthetic route scouting through Phase 1 and 2, laying the foundation for Phase 3-ready processes, and is central to enabling Zealand's growing pipeline of peptide therapeutics to reach patients. We offer exciting responsibilities: Establish and lead the Peptide Process Development lab in Boston, including hiring and developing a high-performing local team Provide global leadership and strategic direction for the Drug Substance function from early discovery to Phase 2 Lead synthetic route scouting and salt selection, evaluating alternative processes with yield, COGS, manufacturability, and scalability as key decision criteria Develop and optimize upstream and downstream process design to establish scalable, cost-effective synthetic routes fit for initial clinical trials and as the foundation for Phase 3 Partner closely with Analytical Development and Manufacturing to ensure processes are scalable, robust, and sustainable Drive technology transfer in collab with DK drug substance team to external CMOs, ensuring seamless transition from development to production Your profile The ideal candidate brings a track record of scientific excellence in peptide process chemistry combined with the leadership presence to inspire and grow a team. A pragmatic problem-solver and strategic thinker, this person thrives in a dynamic, build-phase environment and can balance hands-on technical depth with cross-functional influence. Comfort with ambiguity and a bias for action are essential. Advanced degree (PhD preferred) in Chemistry, Chemical Engineering, or a related field, with extensive experience in peptide process development Demonstrated leadership experience managing and developing cross-functional or global technical teams Deep expertise in solid-phase and/or liquid-phase peptide synthesis, purification, and process optimization across Phase 1, 2 and 3 clinical stages Broad experience across the full process development cycle, including synthetic route scouting, salt selection, upstream and downstream process optimization, and evaluation of process alternatives with a focus on yield, COGS, manufacturability, and scalability Knowledge of process development and technology transfer to GMP manufacturing, including CMO management Experience defining manufacturing strategies from early discovery to Phase 2, with an eye toward building a robust foundation for Phase 3 and commercial Strong cross-functional collaboration skills, particularly with Analytical Development and Manufacturing Your new team This role leads a globally distributed Drug Substance organization spanning two sites. In Boston, the role will establish a process wet lab staffed with process scientists focused on hands-on peptide process development and optimization. In Copenhagen, a DS team serves as the primary connection point to CMOs, ensuring alignment on manufacturing strategies, technology transfer, and day-to-day CMO oversight. Together, the two teams form a cohesive global function with complementary responsibilities, working in close partnership with colleagues across Research, Analytical Development, and Manufacturing. Let's bond and be bold We have a unique culture, characterized by excellent teamwork and strong engagement across the organization. And we want you to help us strengthen this culture. Making bonds is at the core of everything we do. From discovering and developing the best new peptide drugs for patients, to engaging with our partners or connecting with each other. We bond through curiosity and playfulness as a team, allowing ourselves to challenge common thinking and drive future innovation. Join us and let's bond and be bold. Interested in bonding with us? Then please apply as soon as possible. The applications will be reviewed as they come in. While a cover letter is not required, please include a few sentences in your CV explaining your motivation for applying. We are committed to an inclusive recruitment process and welcome applications from all job applicants. About Zealand Pharma A/S Zealand Pharma A/S (Nasdaq: ZEAL) is a biotechnology company focused on advancing medicines for obesity and metabolic health. Combining more than 25 years of peptide R&D expertise with a proprietary data platform that leverages advanced data-driven and AI/ML approaches, Zealand Pharma aims to lead a new era in obesity and metabolic health. To date, more than ten Zealand Pharma-invented drug candidates have entered clinical development, of which two products have reached the market and three candidates are in late-stage development. The Company has collaborations with global pharmaceutical and biotechnology partners for research, development, and commercialization. Founded in 1998, Zealand Pharma is headquartered in Copenhagen, Denmark, with a U.S. presence in Boston, Massachusetts. Learn more at .
Overview Camberley - Surrey - UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. Drive the future of tax as the Head of Tax Zone GBI, where you will own the full tax agenda and lead a diverse regional team. This role combines strategic partnership, digital innovation, and high stakes leadership in a global matrix environment. Reporting Line & Organizational Context Reports to: Regional Head of Tax (with functional alignment to Global Tax). Organizational placement: Part of the Global Tax Function; operates in a matrix with Country Finance/Controllers and Business Leadership. Scope All direct and indirect tax matters for the GBI Zone (UK and Ireland) What You'll Lead End to end tax strategy and ownership across all direct and indirect taxes. A high performing regional team, fostering inclusion, growth, and accountability. Digital transformation of tax, including SAP/S4, automation, analytics, and scalable operating models. Strategic advisory on business models, cross border flows, supply chain, M&A, and commercial initiatives. Compliance excellence, ensuring accurate provisions, filings, and audit outcomes. Risk management and governance, strengthening controls and documentation across the Zone. Stakeholder leadership, partnering with Finance, Legal, SSCs, and external advisors. What You Bring 8-12+ years in multinational tax or Big4, with proven people leadership. Strong experience with SAP and digital tax solutions. Strategic mindset with hands on ownership, resilience, and integrity. Ability to influence in a matrix and inspire diverse teams. Fluency in English; additional languages a plus. What Success Looks Like On time, accurate filings and strong audit outcomes. Reduced risk and strengthened controls. High impact tax advice that accelerates business decisions. Strong team engagement, growth, and succession. Your Growth Access global projects, cross regional initiatives, and leadership programs designed to accelerate your career. Opportunities include expanded regional scope or future global roles. Who we are We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision making and treatment pathways. How we work When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.
Jul 11, 2026
Full time
Overview Camberley - Surrey - UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. Drive the future of tax as the Head of Tax Zone GBI, where you will own the full tax agenda and lead a diverse regional team. This role combines strategic partnership, digital innovation, and high stakes leadership in a global matrix environment. Reporting Line & Organizational Context Reports to: Regional Head of Tax (with functional alignment to Global Tax). Organizational placement: Part of the Global Tax Function; operates in a matrix with Country Finance/Controllers and Business Leadership. Scope All direct and indirect tax matters for the GBI Zone (UK and Ireland) What You'll Lead End to end tax strategy and ownership across all direct and indirect taxes. A high performing regional team, fostering inclusion, growth, and accountability. Digital transformation of tax, including SAP/S4, automation, analytics, and scalable operating models. Strategic advisory on business models, cross border flows, supply chain, M&A, and commercial initiatives. Compliance excellence, ensuring accurate provisions, filings, and audit outcomes. Risk management and governance, strengthening controls and documentation across the Zone. Stakeholder leadership, partnering with Finance, Legal, SSCs, and external advisors. What You Bring 8-12+ years in multinational tax or Big4, with proven people leadership. Strong experience with SAP and digital tax solutions. Strategic mindset with hands on ownership, resilience, and integrity. Ability to influence in a matrix and inspire diverse teams. Fluency in English; additional languages a plus. What Success Looks Like On time, accurate filings and strong audit outcomes. Reduced risk and strengthened controls. High impact tax advice that accelerates business decisions. Strong team engagement, growth, and succession. Your Growth Access global projects, cross regional initiatives, and leadership programs designed to accelerate your career. Opportunities include expanded regional scope or future global roles. Who we are We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision making and treatment pathways. How we work When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.
Ixolabs is seeking a Biotech Research Scientist to leverage your expertise in biotech and genomics for AI evaluation. This flexible, part-time role, suited for a skilled scientist with a Master's or PhD, allows you to work remotely from the UK. You will assess AI outputs and develop datasets to improve AI understanding of complex biological processes. The ideal candidate has at least 3 years of experience in biotech research and is proficient in bioinformatics tools. This position offers a competitive hourly rate between $60 and $120, fostering innovation in life sciences.
Jul 10, 2026
Full time
Ixolabs is seeking a Biotech Research Scientist to leverage your expertise in biotech and genomics for AI evaluation. This flexible, part-time role, suited for a skilled scientist with a Master's or PhD, allows you to work remotely from the UK. You will assess AI outputs and develop datasets to improve AI understanding of complex biological processes. The ideal candidate has at least 3 years of experience in biotech research and is proficient in bioinformatics tools. This position offers a competitive hourly rate between $60 and $120, fostering innovation in life sciences.
Job ID: Amazon Development Centre (London) Limited Orchestrating the selection of one out of tens of millions of ads, honoring advertiser targeting intent for hundreds of thousands of advertisers while ensuring great shopper experience for billions of shoppers millions of times per second on a latency of tens of milliseconds is not a trivial task. The demand retrieval team within the Amazon DSP organisation deals with this challenge, developing and operating machine learning models that match ads opportunities with the most relevant ads to deliver the right messages to the right customers at the right time. We are looking for an Applied Scientist to optimize ad matching for Amazon's programmatic advertisement products. In this role you will lead the design and implementation of solutions for performance sourcing, using behavioural information on customers' interactions with Amazon and other owned and operated businesses as well as contextual information about the bid request to predict their propensity to convert, in turn driving better advertising campaign outcomes. Your work will affect multi billion dollar businesses, and you will be responsible for designing, testing and delivering significant breakthrough's for Amazon's business. Successful candidates will have strong technical ability, excellent teamwork, communication skills, and a motivation to achieve business results in a fast paced environment. Key job responsibilities Design and implement deep learning models to match the right customers with the right ads across different verticals, geographies, and ads formats. Investigate new ML techniques such as multi task learning to ensure that models can operate for a variety of advertisers in multiple industries and with different volumes of conversion events. Improve the performance, generalisation and scalability of models by introducing new features and enhancing models' architecture. Work side by side with our engineers to deliver code changes impacting our ads stack, working with very large datasets and high throughput production systems. Rapidly prototype and test many possible hypotheses/implementation alternatives in a high ambiguity environment, making use of both quantitative analysis and business judgement. Be immersed in Amazon's advertisers and their objectives, and think long term about how to turn those objectives into products and technical capabilities. Understand the latest literature on machine learning for recommender and advertising systems, contributing to guiding strategic investment for the organization. A day in the life You will partner with our product and engineering teams, bringing your own ideas to the conversation and aligning on work, adjusting priorities based on business requirements and fast iteration on experiments. You will have a strong theoretical understanding of modern ML techniques and methodologies, and the software engineering and data processing skills to deploy these using the large scale datasets we deal with in advertising. About the team The Demand Retrieval team is responsible for designing, implementing, deploying and operating machine learning models that match bid opportunities to ads demand based on performance, campaign delivery, and targeting objectives specified by advertisers. We measure the success of our approaches based on offline experimentation and and online metrics that measure the impact of our matching models on campaign KPIs (e.g.: cost per action, return on ads investment, budgets delivered, and targeting precision). Basic Qualifications PhD, or a Master's degree and experience 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 in state of the art deep learning models architecture design and deep learning training and optimization and model pruning Preferred Qualifications Experience in retrieval and ranking systems as applied to advertising or recommender systems Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Job details GBR, London
Jul 10, 2026
Full time
Job ID: Amazon Development Centre (London) Limited Orchestrating the selection of one out of tens of millions of ads, honoring advertiser targeting intent for hundreds of thousands of advertisers while ensuring great shopper experience for billions of shoppers millions of times per second on a latency of tens of milliseconds is not a trivial task. The demand retrieval team within the Amazon DSP organisation deals with this challenge, developing and operating machine learning models that match ads opportunities with the most relevant ads to deliver the right messages to the right customers at the right time. We are looking for an Applied Scientist to optimize ad matching for Amazon's programmatic advertisement products. In this role you will lead the design and implementation of solutions for performance sourcing, using behavioural information on customers' interactions with Amazon and other owned and operated businesses as well as contextual information about the bid request to predict their propensity to convert, in turn driving better advertising campaign outcomes. Your work will affect multi billion dollar businesses, and you will be responsible for designing, testing and delivering significant breakthrough's for Amazon's business. Successful candidates will have strong technical ability, excellent teamwork, communication skills, and a motivation to achieve business results in a fast paced environment. Key job responsibilities Design and implement deep learning models to match the right customers with the right ads across different verticals, geographies, and ads formats. Investigate new ML techniques such as multi task learning to ensure that models can operate for a variety of advertisers in multiple industries and with different volumes of conversion events. Improve the performance, generalisation and scalability of models by introducing new features and enhancing models' architecture. Work side by side with our engineers to deliver code changes impacting our ads stack, working with very large datasets and high throughput production systems. Rapidly prototype and test many possible hypotheses/implementation alternatives in a high ambiguity environment, making use of both quantitative analysis and business judgement. Be immersed in Amazon's advertisers and their objectives, and think long term about how to turn those objectives into products and technical capabilities. Understand the latest literature on machine learning for recommender and advertising systems, contributing to guiding strategic investment for the organization. A day in the life You will partner with our product and engineering teams, bringing your own ideas to the conversation and aligning on work, adjusting priorities based on business requirements and fast iteration on experiments. You will have a strong theoretical understanding of modern ML techniques and methodologies, and the software engineering and data processing skills to deploy these using the large scale datasets we deal with in advertising. About the team The Demand Retrieval team is responsible for designing, implementing, deploying and operating machine learning models that match bid opportunities to ads demand based on performance, campaign delivery, and targeting objectives specified by advertisers. We measure the success of our approaches based on offline experimentation and and online metrics that measure the impact of our matching models on campaign KPIs (e.g.: cost per action, return on ads investment, budgets delivered, and targeting precision). Basic Qualifications PhD, or a Master's degree and experience 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 in state of the art deep learning models architecture design and deep learning training and optimization and model pruning Preferred Qualifications Experience in retrieval and ranking systems as applied to advertising or recommender systems Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Job details GBR, London
About Us The last era of AI scaled on a single bet: bigger models, more identical chips, more data. As problems grow more complex and the requirements of intelligence more diverse, that bet is breaking down. Real-world problems are heterogeneous: no single model or chip can solve them alone. The next era of AI requires heterogeneity at the infrastructure level - diverse models on diverse chips, each with distinct strengths, co-evolving into systems of capability that move the Pareto frontier of what is possible. That's what we are building. Callosum is the Intelligent Systems Company. We started from questioning what actually creates intelligence. We believe there is no single answer, but rather a system-level solution. We co-evolve models, workflows, and silicon together to show that intelligence does not come from a single component, but it emerges from the diversity of co-optimised mechanisms working together and aware of each other. Heterogeneity will define the next era of compute, and is a principle that holds in biological, neuronal, and economic systems alike. In early 2026 we launched with results showing orders of magnitude improvements in performance, and this is only the beginning. Agentic AI is the future of how intelligence is deployed: multi-step, long-horizon, and operating in changing environments. These systems are inherently heterogeneous, and can only be as powerful as the infrastructure that runs them. We are engineers and scientists based in London, working together across the full depth of the stack. We are curious, intellectually honest, and building what doesn't exist yet. If you thrive on uncharted territory and are energised by the scale of the challenge, we'd love to hear from you. About the Role As a Product Manager - Applied AI, you'll the bridge between Callosum's customers and the researchers building our intelligent systems. You translate what a customer's systems and stakeholders need into work researchers can build against, and translate what they build back into something a customer's engineering and leadership trust. This is not a backlog-and-roadmap role. You go deep enough into a customer's stack to understand how their workflows are structured and how a deployment behaves in their environment, then carry that understanding into how researchers prioritise, build, and benchmark, and how our engineering team can ultimately deliver a solution. You understand code and follow architecture discussions, but you do not write production code. You will work closely with the researchers designing new agentic workflows, with the FDEs and benchmarking engineers who validate them in production, and directly with senior technical stakeholders on the customer side. Responsibility and scope grow with what you demonstrate. What You'll Build Scoping customer workflows, constraints, and requirements into work researchers can build against Acting as the technical point of contact for senior stakeholders inside customer accounts, end to end Carrying customer context to researchers, to FDEs, and to benchmarking Defining what the product needs to look like for a given deployment, from the customer's actual use case Building the methodology and standards for how the function engages with enterprise customers - there's currently none What You Bring Technical foundations strong enough to read code, follow architecture discussions, and reason about how agentic systems get deployed - a CS or related STEM degree, or equivalent depth 5+ years, most likely spent in consulting (strategy or technology, enterprise clients) or venture/operating roles with comparable enterprise exposure, having chosen a customer-facing path over software engineering A track record operating in front of senior stakeholders at large organisations Comfort with ambiguity - there's no playbook for this function yet What Sets You Apart Technical project work from consulting that put you inside a customer's codebase or alongside their engineering team, not just stakeholder management Experience at an AI-native or agentic product company in a customer-facing PM role Experience deploying or operationalising LLM-based systems inside an enterprise environment Strong academic record from a leading technical programme What We Offer Competitive Salary, determined by skills and experience Equity & Ownership Private healthcare We offer Visa sponsorship and relocation benefits to hire the best in the world We work in person at our London office. You'll have the tools, space and setup to do your best work, and if you have specific needs, just tell us We're committed to building an inclusive workplace where everyone feels welcome, and believe in equal opportunities for all.
Jul 10, 2026
Full time
About Us The last era of AI scaled on a single bet: bigger models, more identical chips, more data. As problems grow more complex and the requirements of intelligence more diverse, that bet is breaking down. Real-world problems are heterogeneous: no single model or chip can solve them alone. The next era of AI requires heterogeneity at the infrastructure level - diverse models on diverse chips, each with distinct strengths, co-evolving into systems of capability that move the Pareto frontier of what is possible. That's what we are building. Callosum is the Intelligent Systems Company. We started from questioning what actually creates intelligence. We believe there is no single answer, but rather a system-level solution. We co-evolve models, workflows, and silicon together to show that intelligence does not come from a single component, but it emerges from the diversity of co-optimised mechanisms working together and aware of each other. Heterogeneity will define the next era of compute, and is a principle that holds in biological, neuronal, and economic systems alike. In early 2026 we launched with results showing orders of magnitude improvements in performance, and this is only the beginning. Agentic AI is the future of how intelligence is deployed: multi-step, long-horizon, and operating in changing environments. These systems are inherently heterogeneous, and can only be as powerful as the infrastructure that runs them. We are engineers and scientists based in London, working together across the full depth of the stack. We are curious, intellectually honest, and building what doesn't exist yet. If you thrive on uncharted territory and are energised by the scale of the challenge, we'd love to hear from you. About the Role As a Product Manager - Applied AI, you'll the bridge between Callosum's customers and the researchers building our intelligent systems. You translate what a customer's systems and stakeholders need into work researchers can build against, and translate what they build back into something a customer's engineering and leadership trust. This is not a backlog-and-roadmap role. You go deep enough into a customer's stack to understand how their workflows are structured and how a deployment behaves in their environment, then carry that understanding into how researchers prioritise, build, and benchmark, and how our engineering team can ultimately deliver a solution. You understand code and follow architecture discussions, but you do not write production code. You will work closely with the researchers designing new agentic workflows, with the FDEs and benchmarking engineers who validate them in production, and directly with senior technical stakeholders on the customer side. Responsibility and scope grow with what you demonstrate. What You'll Build Scoping customer workflows, constraints, and requirements into work researchers can build against Acting as the technical point of contact for senior stakeholders inside customer accounts, end to end Carrying customer context to researchers, to FDEs, and to benchmarking Defining what the product needs to look like for a given deployment, from the customer's actual use case Building the methodology and standards for how the function engages with enterprise customers - there's currently none What You Bring Technical foundations strong enough to read code, follow architecture discussions, and reason about how agentic systems get deployed - a CS or related STEM degree, or equivalent depth 5+ years, most likely spent in consulting (strategy or technology, enterprise clients) or venture/operating roles with comparable enterprise exposure, having chosen a customer-facing path over software engineering A track record operating in front of senior stakeholders at large organisations Comfort with ambiguity - there's no playbook for this function yet What Sets You Apart Technical project work from consulting that put you inside a customer's codebase or alongside their engineering team, not just stakeholder management Experience at an AI-native or agentic product company in a customer-facing PM role Experience deploying or operationalising LLM-based systems inside an enterprise environment Strong academic record from a leading technical programme What We Offer Competitive Salary, determined by skills and experience Equity & Ownership Private healthcare We offer Visa sponsorship and relocation benefits to hire the best in the world We work in person at our London office. You'll have the tools, space and setup to do your best work, and if you have specific needs, just tell us We're committed to building an inclusive workplace where everyone feels welcome, and believe in equal opportunities for all.
Head of Chemistry Lead the chemistry that's redefining advanced manufacturing. At Photocentric Ltd, we don't just develop materials-we create the chemistry that powers the future of manufacturing. As a globally recognised innovator in 3D printing, with operations in the UK and USA, we design, manufacture and export world-leading 3D printing technologies and high-performance resins used across industries worldwide. From our headquarters in Peterborough, we're pioneering sustainable materials, next-generation polymers and breakthrough manufacturing processes. We're now looking for an exceptional Head of Chemistry to lead our research programme, drive innovation and build the next generation of advanced polymer materials. If you have extensive industrial experience in polyurethane chemistry, chemical synthesis and polymer formulation, and you're excited by taking ideas from concept through to commercial manufacture, we'd like to hear from you. TheHead of Chemistry Opportunity This is a hands-on leadership role combining scientific innovation with commercial delivery. You'll lead a talented chemistry team, shape our research strategy and oversee projects spanning early-stage discovery, formulation, scale-up and production. Working alongside engineers, manufacturing teams, customers and research partners, you'll help bring genuinely new materials to market. We're particularly interested in someone with experience of high-volume polyurethane manufacture who wants to push the boundaries of sustainable polymer chemistry. What You'll Be Doing as ourHead of Chemistry Lead the Chemistry team, setting technical direction while mentoring and developing scientists. Drive R&D projects from concept through laboratory development to commercial production, delivering measurable progress every month. Develop advanced 3D-printable resins and polymers for demanding industrial applications. Design and synthesise new polyurethane systems, oligomers and photocurable materials. Develop polyols from bio-derived waste streams, evaluating feedstocks, conversion routes and performance. Create both thermally cured and light-cured polymer systems. Lead technical work across collaborative research programmes and grant-funded projects. Work directly with customers and research partners to translate market needs into innovative chemical solutions. Maintain rigorous experimental records and communicate findings through clear technical reports. Keep Photocentric at the forefront of polymer science by identifying emerging technologies, materials and competitive developments. Champion product quality, safety and continuous improvement across R&D and manufacturing. What You'll Bring as ourHead of Chemistry Significant industrial experience in polyurethane chemistry, polymer science or advanced formulation chemistry. A strong track record in chemical synthesis and developing products from laboratory to manufacture. Experience leading and developing high-performing technical teams. Deep knowledge of polymer formulation, oligomer design and material characterisation. Experience working within commercial R&D, ideally in polymers, coatings, composites or advanced materials. The ability to solve complex technical problems with creativity, scientific rigour and commercial awareness. Excellent project management and organisational skills, with the ability to manage multiple priorities. Strong technical writing and presentation skills, able to communicate effectively with scientists, engineers, customers and business leaders. A genuine passion for innovation and translating research into commercially successful products. Why Photocentric? This isn't a role maintaining existing products. It's an opportunity to lead chemistry that is changing how products are manufactured around the world. You'll work on breakthrough materials, sustainable technologies and genuinely novel applications, with the freedom to innovate and the resources to turn research into reality. If you're looking for a senior scientific leadership role where your work will have visible commercial impact as ourHead of Chemistry,please click apply now -we'd love to hear from you.
Jul 10, 2026
Full time
Head of Chemistry Lead the chemistry that's redefining advanced manufacturing. At Photocentric Ltd, we don't just develop materials-we create the chemistry that powers the future of manufacturing. As a globally recognised innovator in 3D printing, with operations in the UK and USA, we design, manufacture and export world-leading 3D printing technologies and high-performance resins used across industries worldwide. From our headquarters in Peterborough, we're pioneering sustainable materials, next-generation polymers and breakthrough manufacturing processes. We're now looking for an exceptional Head of Chemistry to lead our research programme, drive innovation and build the next generation of advanced polymer materials. If you have extensive industrial experience in polyurethane chemistry, chemical synthesis and polymer formulation, and you're excited by taking ideas from concept through to commercial manufacture, we'd like to hear from you. TheHead of Chemistry Opportunity This is a hands-on leadership role combining scientific innovation with commercial delivery. You'll lead a talented chemistry team, shape our research strategy and oversee projects spanning early-stage discovery, formulation, scale-up and production. Working alongside engineers, manufacturing teams, customers and research partners, you'll help bring genuinely new materials to market. We're particularly interested in someone with experience of high-volume polyurethane manufacture who wants to push the boundaries of sustainable polymer chemistry. What You'll Be Doing as ourHead of Chemistry Lead the Chemistry team, setting technical direction while mentoring and developing scientists. Drive R&D projects from concept through laboratory development to commercial production, delivering measurable progress every month. Develop advanced 3D-printable resins and polymers for demanding industrial applications. Design and synthesise new polyurethane systems, oligomers and photocurable materials. Develop polyols from bio-derived waste streams, evaluating feedstocks, conversion routes and performance. Create both thermally cured and light-cured polymer systems. Lead technical work across collaborative research programmes and grant-funded projects. Work directly with customers and research partners to translate market needs into innovative chemical solutions. Maintain rigorous experimental records and communicate findings through clear technical reports. Keep Photocentric at the forefront of polymer science by identifying emerging technologies, materials and competitive developments. Champion product quality, safety and continuous improvement across R&D and manufacturing. What You'll Bring as ourHead of Chemistry Significant industrial experience in polyurethane chemistry, polymer science or advanced formulation chemistry. A strong track record in chemical synthesis and developing products from laboratory to manufacture. Experience leading and developing high-performing technical teams. Deep knowledge of polymer formulation, oligomer design and material characterisation. Experience working within commercial R&D, ideally in polymers, coatings, composites or advanced materials. The ability to solve complex technical problems with creativity, scientific rigour and commercial awareness. Excellent project management and organisational skills, with the ability to manage multiple priorities. Strong technical writing and presentation skills, able to communicate effectively with scientists, engineers, customers and business leaders. A genuine passion for innovation and translating research into commercially successful products. Why Photocentric? This isn't a role maintaining existing products. It's an opportunity to lead chemistry that is changing how products are manufactured around the world. You'll work on breakthrough materials, sustainable technologies and genuinely novel applications, with the freedom to innovate and the resources to turn research into reality. If you're looking for a senior scientific leadership role where your work will have visible commercial impact as ourHead of Chemistry,please click apply now -we'd love to hear from you.
Senior Laboratory Engineer London Competitive Salary Our client is an ambitious start-up looking to utilise AI within the field of Materials Science to help advance cutting-edge technology in this area. This is a one-of-a-kind opportunity to join their small dynamic team in the early stages as they set-up and develop their research laboratory in London. You'll work closely with material scientists, computational and AI teams, ensuring that experimental throughput and data quality can keep pace with requirements. This is a hands-on, senior role with real ownership. You will be joining a small, highly ambitious team of world-renowned engineers, AI researchers, and materials scientists. We move fast and value people who are energised by that. Key areas: Own lab throughput and operational reliability across synthesis, sample preparation, characterisation and data capture workflows; identify bottlenecks, reduce downtime, improve instrument utilisation, and increase the number of high-quality experiments the lab can run per week. Develop and maintain preventive maintenance schedules, SOPs, and risk assessments for all equipment. Diagnose and resolve complex equipment failures (vacuum leaks, electronic faults, mechanical misalignment), minimising downtime. Design and run synthesis and characterisation experiments in collaboration with materials scientists, ensuring reproducibility and data integrity. Onboard and mentor junior lab staff on instrument operation, maintenance practices, and safety. Evaluate, procure, and commission new equipment and consumables as our lab capabilities expand. Liaise with vendors and service engineers on repairs, calibrations, and upgrades. Support the integration of experimental outputs into automated data pipelines feeding the AI platform. Support the automation of lab equipment to ensure experimental throughput and data quality can keep pace with requirements. Candidate: Relevant educational background in materials science, physics, engineering or related. Substantial hands-on experience maintaining and troubleshooting research-grade laboratory equipment in a professional setting. Experience improving throughput, uptime, turnaround time or reliability in an instrument heavy lab, pilot line, semiconductor fab, analytical testing facility, manufacturing environment or similar setting. Practical expertise across our instrument suite or a closely related set: High-vacuum equipment. Scanning electron microscopy (SEM). Optical characterisation. X-ray diffraction (XRD). High-field magnets. High-temperature metallurgical synthesis. Strong vacuum systems knowledge: pump maintenance, leak detection, RGA, bakeout procedures. Ability to perform component-level diagnostics and repairs, vacuum, electronic, and mechanical, without waiting for factory service representatives. Familiarity with ionising radiation safety regulations and relevant local licensing requirements. Rigorous approach to documentation: SOPs, maintenance logs and data provenance. Some CAD experience for fixture design and lab modifications. Nice to Have! Experience integrating instruments with automated data capture or laboratory management systems. Python or scripting experience for instrument control, automation or data processing.
Jul 10, 2026
Full time
Senior Laboratory Engineer London Competitive Salary Our client is an ambitious start-up looking to utilise AI within the field of Materials Science to help advance cutting-edge technology in this area. This is a one-of-a-kind opportunity to join their small dynamic team in the early stages as they set-up and develop their research laboratory in London. You'll work closely with material scientists, computational and AI teams, ensuring that experimental throughput and data quality can keep pace with requirements. This is a hands-on, senior role with real ownership. You will be joining a small, highly ambitious team of world-renowned engineers, AI researchers, and materials scientists. We move fast and value people who are energised by that. Key areas: Own lab throughput and operational reliability across synthesis, sample preparation, characterisation and data capture workflows; identify bottlenecks, reduce downtime, improve instrument utilisation, and increase the number of high-quality experiments the lab can run per week. Develop and maintain preventive maintenance schedules, SOPs, and risk assessments for all equipment. Diagnose and resolve complex equipment failures (vacuum leaks, electronic faults, mechanical misalignment), minimising downtime. Design and run synthesis and characterisation experiments in collaboration with materials scientists, ensuring reproducibility and data integrity. Onboard and mentor junior lab staff on instrument operation, maintenance practices, and safety. Evaluate, procure, and commission new equipment and consumables as our lab capabilities expand. Liaise with vendors and service engineers on repairs, calibrations, and upgrades. Support the integration of experimental outputs into automated data pipelines feeding the AI platform. Support the automation of lab equipment to ensure experimental throughput and data quality can keep pace with requirements. Candidate: Relevant educational background in materials science, physics, engineering or related. Substantial hands-on experience maintaining and troubleshooting research-grade laboratory equipment in a professional setting. Experience improving throughput, uptime, turnaround time or reliability in an instrument heavy lab, pilot line, semiconductor fab, analytical testing facility, manufacturing environment or similar setting. Practical expertise across our instrument suite or a closely related set: High-vacuum equipment. Scanning electron microscopy (SEM). Optical characterisation. X-ray diffraction (XRD). High-field magnets. High-temperature metallurgical synthesis. Strong vacuum systems knowledge: pump maintenance, leak detection, RGA, bakeout procedures. Ability to perform component-level diagnostics and repairs, vacuum, electronic, and mechanical, without waiting for factory service representatives. Familiarity with ionising radiation safety regulations and relevant local licensing requirements. Rigorous approach to documentation: SOPs, maintenance logs and data provenance. Some CAD experience for fixture design and lab modifications. Nice to Have! Experience integrating instruments with automated data capture or laboratory management systems. Python or scripting experience for instrument control, automation or data processing.
hackajob is collaborating with Ordnance Survey to connect them with exceptional professionals for this role. Engineer Full Time £43,918 to £51,238 OSHQ Southampton Hybrid working Join Ordnance Survey - Shape the future of location data Ordnance Survey is the national mapping agency for Great Britain, and we're transforming how the world uses location data. Our digital services, data pipelines and platforms support governments, businesses and developers every day. To keep innovating, we're looking for an experienced Engineer to help us build secure, scalable and high-quality software that makes a real difference. About the role As an Engineer, you will design, build and maintain software components that underpin Ordnance Survey's products and services, working in an iterative, agile delivery environment. You will contribute hands-on engineering expertise while helping to improve how software is designed, delivered and operated across the team. You will develop software components and modules involved in product generation, along with the supporting infrastructure they rely on. The role requires a DevSecOps mindset, combining sound software engineering, infrastructure awareness and security by design to deliver reliable, well tested and maintainable solutions. You will be expected to take responsibility for the services you build through to production, supporting their operation and helping identify and resolve issues as they arise. Alongside delivery, you will collaborate closely with other engineers and contribute to improving the team's capability in Scala, Databricks and secure engineering practices. What you'll do Build and maintain software components using modern engineering and iterative delivery practices. Provide expert software development and configuration in your technical area. Understand, apply and advocate engineering best practices, industry patterns and solutions. Ensure software is secure, reliable and thoroughly tested. Support and operate the services you create, helping identify and resolve production issues. Work collaboratively within agile, cross functional delivery teams. In this role, you will: Provide technical skills to continuously improve engineering capability across all stages of the engineering lifecycle. Develop infrastructure, coordinating with project management, geospatial engineers, data scientists and testers to ensure successful outcomes. Promote and actively share best practices across teams to drive consistency and quality. Operate and support the production services you build, finding opportunities to improve robustness, resilience and overall system stability. About You We're looking for someone who can build high-quality systems. You'll work with team members and stakeholders, developing and implementing best practices regarding infrastructure and DevOps You will have experience in: Building, deploying, testing, debugging, scaling, and monitoring secure systems Clear communication skills, with the ability to collaborate across technical and nontechnical stakeholders. Developing modules for use on Databricks as well as data access manager Automated Access and Security Management Key Responsibilities Developing and maintaining production infrastructure Driving improvements in engineering techniques to increase performance of the system and the team Technical skills we're looking for Azure DevOps and Azure Cloud Services (Entra, Batch, ADLS) Azure Infrastructure as code Data Pipeline tooling (Databricks (with Unity Catalog / Airtable / Spark / ADF etc) experience Experience with Scala, Bicep, Python, PowerShell The Rewards We want you to love what you do and feel supported to do your best work. Our benefits include: Competitive salary and pension (OS contribute up to 12.07%) Performance related bonus (where applicable) 28 days annual leave plus bank holidays (increasing with service) Enhanced family leave, including paid partner leave Hybrid and flexible working options Learning and development support, coaching and mentoring Free subscription to OS Maps and access to wellbeing support Volunteering leave and matched fundraising Location We embrace a hybrid working model at OS, because we believe in flexibility and balance. You'll be based at our fantastic HQ in Southampton, Hampshire, where you'll spend 50% of your working week collaborating face-to-face with colleagues. It's all about combining the best of both worlds connection and autonomy to help you thrive. Security OS conducts pre-employment checks for anyone made an offer of employment, including identity, right to work, employment history and criminal record checks (via Disclosure & Barring Services (DBS). Closing date: Tuesday 21 July 2026 at 23:59pm Interviews are scheduled to take place from MS Teams or in person at Ordnance Survey Head office . We are happy to consider any reasonable adjustments that people may need during the recruitment process, and you will be asked whether you require any during the application process. Research indicates that women, individuals with disabilities, LGBTQ+ community members, neurodiverse individuals, and people from ethnic minority backgrounds often hesitate to apply for jobs unless they meet every single qualification. At Ordnance Survey, we are dedicated to fostering a diverse, inclusive, and genuine workplace where everyone can thrive. If you're enthusiastic about this role but your experience doesn't perfectly match every qualification in the job description, we encourage you to apply anyway. You might be the ideal candidate for this or other roles within Ordnance Survey. Skills required for this role: Analysis, Computer Coding, Computer Programming, Delivery Methodologies, Software Components, Software Development, Software Engineering, Technical Support, Testing
Jul 09, 2026
Full time
hackajob is collaborating with Ordnance Survey to connect them with exceptional professionals for this role. Engineer Full Time £43,918 to £51,238 OSHQ Southampton Hybrid working Join Ordnance Survey - Shape the future of location data Ordnance Survey is the national mapping agency for Great Britain, and we're transforming how the world uses location data. Our digital services, data pipelines and platforms support governments, businesses and developers every day. To keep innovating, we're looking for an experienced Engineer to help us build secure, scalable and high-quality software that makes a real difference. About the role As an Engineer, you will design, build and maintain software components that underpin Ordnance Survey's products and services, working in an iterative, agile delivery environment. You will contribute hands-on engineering expertise while helping to improve how software is designed, delivered and operated across the team. You will develop software components and modules involved in product generation, along with the supporting infrastructure they rely on. The role requires a DevSecOps mindset, combining sound software engineering, infrastructure awareness and security by design to deliver reliable, well tested and maintainable solutions. You will be expected to take responsibility for the services you build through to production, supporting their operation and helping identify and resolve issues as they arise. Alongside delivery, you will collaborate closely with other engineers and contribute to improving the team's capability in Scala, Databricks and secure engineering practices. What you'll do Build and maintain software components using modern engineering and iterative delivery practices. Provide expert software development and configuration in your technical area. Understand, apply and advocate engineering best practices, industry patterns and solutions. Ensure software is secure, reliable and thoroughly tested. Support and operate the services you create, helping identify and resolve production issues. Work collaboratively within agile, cross functional delivery teams. In this role, you will: Provide technical skills to continuously improve engineering capability across all stages of the engineering lifecycle. Develop infrastructure, coordinating with project management, geospatial engineers, data scientists and testers to ensure successful outcomes. Promote and actively share best practices across teams to drive consistency and quality. Operate and support the production services you build, finding opportunities to improve robustness, resilience and overall system stability. About You We're looking for someone who can build high-quality systems. You'll work with team members and stakeholders, developing and implementing best practices regarding infrastructure and DevOps You will have experience in: Building, deploying, testing, debugging, scaling, and monitoring secure systems Clear communication skills, with the ability to collaborate across technical and nontechnical stakeholders. Developing modules for use on Databricks as well as data access manager Automated Access and Security Management Key Responsibilities Developing and maintaining production infrastructure Driving improvements in engineering techniques to increase performance of the system and the team Technical skills we're looking for Azure DevOps and Azure Cloud Services (Entra, Batch, ADLS) Azure Infrastructure as code Data Pipeline tooling (Databricks (with Unity Catalog / Airtable / Spark / ADF etc) experience Experience with Scala, Bicep, Python, PowerShell The Rewards We want you to love what you do and feel supported to do your best work. Our benefits include: Competitive salary and pension (OS contribute up to 12.07%) Performance related bonus (where applicable) 28 days annual leave plus bank holidays (increasing with service) Enhanced family leave, including paid partner leave Hybrid and flexible working options Learning and development support, coaching and mentoring Free subscription to OS Maps and access to wellbeing support Volunteering leave and matched fundraising Location We embrace a hybrid working model at OS, because we believe in flexibility and balance. You'll be based at our fantastic HQ in Southampton, Hampshire, where you'll spend 50% of your working week collaborating face-to-face with colleagues. It's all about combining the best of both worlds connection and autonomy to help you thrive. Security OS conducts pre-employment checks for anyone made an offer of employment, including identity, right to work, employment history and criminal record checks (via Disclosure & Barring Services (DBS). Closing date: Tuesday 21 July 2026 at 23:59pm Interviews are scheduled to take place from MS Teams or in person at Ordnance Survey Head office . We are happy to consider any reasonable adjustments that people may need during the recruitment process, and you will be asked whether you require any during the application process. Research indicates that women, individuals with disabilities, LGBTQ+ community members, neurodiverse individuals, and people from ethnic minority backgrounds often hesitate to apply for jobs unless they meet every single qualification. At Ordnance Survey, we are dedicated to fostering a diverse, inclusive, and genuine workplace where everyone can thrive. If you're enthusiastic about this role but your experience doesn't perfectly match every qualification in the job description, we encourage you to apply anyway. You might be the ideal candidate for this or other roles within Ordnance Survey. Skills required for this role: Analysis, Computer Coding, Computer Programming, Delivery Methodologies, Software Components, Software Development, Software Engineering, Technical Support, Testing
Early Career Information Scientist - Content Analytics & Data Science Type: Temporary Duration: 12 months Location: Slough (Hybrid - minimum 2 days onsite) Rate: (INSIDE IR35) - up to £22.40 per hour (PAYE) - up to £30.81 per hour (Umbrella) SRG are supporting a leading pharmaceutical company with a new contract opportunity for an Information Scientist to join a dynamic scientific information and intelligence team. This is an excellent opportunity for someone who is new to the industry or an early-career professional to develop expertise in data science, AI-enabled analytics, and scientific information management within an advanced R&D environment. Based in Slough with hybrid working options available, the role will focus on transforming scientific content and data into practical insights through programmatic and analytical approaches. Key Responsibilities Develop and maintain programmatic workflows to support scientific data analysis. Apply data science techniques to identify trends, patterns, and insights from scientific information. Build and optimise automated pipelines for content analytics and data processing. Utilise AI and natural language processing (NLP) tools for text mining and summarisation activities. Collaborate with cross-functional stakeholders to support information and analytics projects. Contribute to data governance initiatives and responsible AI practices. Skills & Experience Required Degree in Life Sciences, Data Science, Bioinformatics, or a related discipline. Basic programming skills with an interest in developing technical capabilities. Strong analytical and problem-solving skills with attention to detail. Interest in data-driven approaches to scientific research and information management. Experience or exposure to NLP, machine learning, or scientific data analysis would be advantageous. Familiarity with metadata, ontologies, or knowledge graphs would be beneficial. To Apply Please click and submit your profile and/or to discuss further, contact Theo Charles on Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Jul 09, 2026
Seasonal
Early Career Information Scientist - Content Analytics & Data Science Type: Temporary Duration: 12 months Location: Slough (Hybrid - minimum 2 days onsite) Rate: (INSIDE IR35) - up to £22.40 per hour (PAYE) - up to £30.81 per hour (Umbrella) SRG are supporting a leading pharmaceutical company with a new contract opportunity for an Information Scientist to join a dynamic scientific information and intelligence team. This is an excellent opportunity for someone who is new to the industry or an early-career professional to develop expertise in data science, AI-enabled analytics, and scientific information management within an advanced R&D environment. Based in Slough with hybrid working options available, the role will focus on transforming scientific content and data into practical insights through programmatic and analytical approaches. Key Responsibilities Develop and maintain programmatic workflows to support scientific data analysis. Apply data science techniques to identify trends, patterns, and insights from scientific information. Build and optimise automated pipelines for content analytics and data processing. Utilise AI and natural language processing (NLP) tools for text mining and summarisation activities. Collaborate with cross-functional stakeholders to support information and analytics projects. Contribute to data governance initiatives and responsible AI practices. Skills & Experience Required Degree in Life Sciences, Data Science, Bioinformatics, or a related discipline. Basic programming skills with an interest in developing technical capabilities. Strong analytical and problem-solving skills with attention to detail. Interest in data-driven approaches to scientific research and information management. Experience or exposure to NLP, machine learning, or scientific data analysis would be advantageous. Familiarity with metadata, ontologies, or knowledge graphs would be beneficial. To Apply Please click and submit your profile and/or to discuss further, contact Theo Charles on Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
AI Chopping Block is looking for a skilled machine learning researcher in Greater London to join their innovative team. This role involves architecting generative models aimed at designing proteins for wet lab assays. Candidates are expected to have strong backgrounds in ML, experience with notable projects, and familiarity with data engineering tasks. A competitive compensation package, including private health insurance, pension contributions, and generous leave policies, will be offered, along with a dynamic and impactful working environment.
Jul 09, 2026
Full time
AI Chopping Block is looking for a skilled machine learning researcher in Greater London to join their innovative team. This role involves architecting generative models aimed at designing proteins for wet lab assays. Candidates are expected to have strong backgrounds in ML, experience with notable projects, and familiarity with data engineering tasks. A competitive compensation package, including private health insurance, pension contributions, and generous leave policies, will be offered, along with a dynamic and impactful working environment.
ID lavoro: Evi Technologies Limited Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression ready student architectures that partners can run on their own. Our north star is simple. Training to deployment should feel like pushing a button, not a month long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state of the art compression recipes to real models, define the benchmarks and evaluation methodology that make trade offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost, which differ across edge and cloud targets, partnering closely with fellow scientists, platform and compiler engineers, hardware architects, and product teams. The role sits on two frontiers at once. Compressing a model effectively and healing it back to quality means staying current not just with the latest compression techniques, but with the rapidly evolving model architectures themselves, and understanding deeply how each one works inside. You will take ownership of project level delivery, apply advanced compression across a wide range of real models, and have room to grow your scope and technical influence. Key job responsibilities Apply and extend compression recipes (knowledge distillation, structured pruning, and post training and quantization aware quantization including low bit and mixed precision) to assigned models, achieving 20x to 100x compression while preserving model quality. Design and run healing recipes (fine tuning and distillation that recover accuracy lost to compression), iterating on data mixes, objectives, and training settings until the compressed model meets its quality bar. Track emerging model architectures and dissect how they work internally, so you can choose where to compress, anticipate where accuracy will break, and design recovery strategies grounded in the model's actual structure. Build a library of compression ready model entries: reference implementations, compression recipes, model cards, and benchmark results that partner teams can run self service to produce deployment ready artifacts for edge and cloud targets. Define the datasets, benchmarks, and KPIs that matter for your models, and build evaluation methodology that makes accuracy, latency, memory, and cost trade offs explicit. Run fast feasibility gates on new model families and modalities before committing to long efforts, and pivot early when a candidate does not clear the bar. Capture platform friction as high signal feedback: minimal reproductions and tracked fix requests that help platform and compression science partners root cause issues, so partner teams never rediscover the same blockers. Write reproducible, testable, well documented code that meets the SDE I bar, so your recipes and results can be reproduced and built on by others. Collaborate with Applied Scientists, platform and compiler engineers, hardware architects, and partner teams; mentor interns and help newer teammates ramp up. Where appropriate and not precluded by business considerations, publish and present on Amazon's behalf at top ML venues such as NeurIPS, ICLR, and MLSys. A day in the life You pick up a vision language model whose vision tower needs to fit tight memory, latency, and cost budgets for deployment. You configure a quantization aware training run at the team's target compression ratio, then check the compressed checkpoint against a visual reasoning benchmark and find it recovers only part of the baseline accuracy. You design a healing run to close the gap, tuning the data mix and training objective to fine tune the compressed model back toward the teacher's quality. The next checkpoint clears most of the gap but still lands short, so rather than assume the recipe is at fault, you dig into the evaluation harness and discover a benchmark filter is misaligned, deflating the score. You fix the filter, re run, and confirm the healed model lands where the science predicts. You then package the work as a reusable model entry (recipe, model card, benchmark numbers, and a reference implementation a partner team can run on their own) and file a minimal reproduction of the harness bug so no one rediscovers it. Typical week A typical week mixes hands on compression and evaluation with design discussions alongside fellow scientists and platform engineers. You run a fast feasibility gate on a new model family before committing to a long effort, profile a compressed model to confirm a real throughput gain, and turn a recurring friction point into a reusable pattern. You work in a small, fast moving team where every recipe you harden compounds across future models and every partner you unblock ships faster. About the team We compress frontier models 20x to 100x and put them in the hands of millions of customers, everywhere from your pocket to the cloud: the device in your hand, the Echo on your counter, and the services behind them. The models the industry shipped last month, we are shrinking this month, across language, vision, speech, and omni. That is the job: take the best models in the world and make them small enough, fast enough, and cheap enough to run everywhere, without giving up the intelligence that makes them worth running. Edge AI Model Studio Edge AI Model Studio is the team that makes it real. We are the expert users of a compression platform that most of Amazon cannot yet wield, and our mission is to change that, turning weeks of expert intuition into recipes anyone can run. We are small, we move fast, and we own our work end to end: a result counts only when it ships with a recipe, benchmarks, and an artifact a partner team can run without us. Every recipe we crack compounds across every model that follows. If you want your science in real products at real scale, and you want to put the frontier of generative AI in the hands of millions of customers, come build it with us. Qualifications Master's degree, or a PhD and experience in CS, CE, ML or related field Experience programming in Java, C++, Python or related language Experience in patents or publications at top tier peer reviewed conferences or journals Experience in state of the art deep learning models architecture design and deep learning training and optimization and model pruning Experience with multimodal and omni models: vision language models, audio language or speech models, or omni architectures that jointly process text, audio, and video. Experience with neural network compression techniques (quantization, knowledge distillation, structured pruning, low rank factorization) for resource constrained deployment. Familiarity with mixed precision training and inference (FP16, BF16, FP8, INT8, INT4) and low bit quantization. Experience with edge deployment, model compilation, or inference optimization, and an understanding of hardware aware trade offs. Experience with large scale ML systems, including profiling, debugging, and reasoning about system performance. Equal Opportunity Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Jul 09, 2026
Full time
ID lavoro: Evi Technologies Limited Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression ready student architectures that partners can run on their own. Our north star is simple. Training to deployment should feel like pushing a button, not a month long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state of the art compression recipes to real models, define the benchmarks and evaluation methodology that make trade offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost, which differ across edge and cloud targets, partnering closely with fellow scientists, platform and compiler engineers, hardware architects, and product teams. The role sits on two frontiers at once. Compressing a model effectively and healing it back to quality means staying current not just with the latest compression techniques, but with the rapidly evolving model architectures themselves, and understanding deeply how each one works inside. You will take ownership of project level delivery, apply advanced compression across a wide range of real models, and have room to grow your scope and technical influence. Key job responsibilities Apply and extend compression recipes (knowledge distillation, structured pruning, and post training and quantization aware quantization including low bit and mixed precision) to assigned models, achieving 20x to 100x compression while preserving model quality. Design and run healing recipes (fine tuning and distillation that recover accuracy lost to compression), iterating on data mixes, objectives, and training settings until the compressed model meets its quality bar. Track emerging model architectures and dissect how they work internally, so you can choose where to compress, anticipate where accuracy will break, and design recovery strategies grounded in the model's actual structure. Build a library of compression ready model entries: reference implementations, compression recipes, model cards, and benchmark results that partner teams can run self service to produce deployment ready artifacts for edge and cloud targets. Define the datasets, benchmarks, and KPIs that matter for your models, and build evaluation methodology that makes accuracy, latency, memory, and cost trade offs explicit. Run fast feasibility gates on new model families and modalities before committing to long efforts, and pivot early when a candidate does not clear the bar. Capture platform friction as high signal feedback: minimal reproductions and tracked fix requests that help platform and compression science partners root cause issues, so partner teams never rediscover the same blockers. Write reproducible, testable, well documented code that meets the SDE I bar, so your recipes and results can be reproduced and built on by others. Collaborate with Applied Scientists, platform and compiler engineers, hardware architects, and partner teams; mentor interns and help newer teammates ramp up. Where appropriate and not precluded by business considerations, publish and present on Amazon's behalf at top ML venues such as NeurIPS, ICLR, and MLSys. A day in the life You pick up a vision language model whose vision tower needs to fit tight memory, latency, and cost budgets for deployment. You configure a quantization aware training run at the team's target compression ratio, then check the compressed checkpoint against a visual reasoning benchmark and find it recovers only part of the baseline accuracy. You design a healing run to close the gap, tuning the data mix and training objective to fine tune the compressed model back toward the teacher's quality. The next checkpoint clears most of the gap but still lands short, so rather than assume the recipe is at fault, you dig into the evaluation harness and discover a benchmark filter is misaligned, deflating the score. You fix the filter, re run, and confirm the healed model lands where the science predicts. You then package the work as a reusable model entry (recipe, model card, benchmark numbers, and a reference implementation a partner team can run on their own) and file a minimal reproduction of the harness bug so no one rediscovers it. Typical week A typical week mixes hands on compression and evaluation with design discussions alongside fellow scientists and platform engineers. You run a fast feasibility gate on a new model family before committing to a long effort, profile a compressed model to confirm a real throughput gain, and turn a recurring friction point into a reusable pattern. You work in a small, fast moving team where every recipe you harden compounds across future models and every partner you unblock ships faster. About the team We compress frontier models 20x to 100x and put them in the hands of millions of customers, everywhere from your pocket to the cloud: the device in your hand, the Echo on your counter, and the services behind them. The models the industry shipped last month, we are shrinking this month, across language, vision, speech, and omni. That is the job: take the best models in the world and make them small enough, fast enough, and cheap enough to run everywhere, without giving up the intelligence that makes them worth running. Edge AI Model Studio Edge AI Model Studio is the team that makes it real. We are the expert users of a compression platform that most of Amazon cannot yet wield, and our mission is to change that, turning weeks of expert intuition into recipes anyone can run. We are small, we move fast, and we own our work end to end: a result counts only when it ships with a recipe, benchmarks, and an artifact a partner team can run without us. Every recipe we crack compounds across every model that follows. If you want your science in real products at real scale, and you want to put the frontier of generative AI in the hands of millions of customers, come build it with us. Qualifications Master's degree, or a PhD and experience in CS, CE, ML or related field Experience programming in Java, C++, Python or related language Experience in patents or publications at top tier peer reviewed conferences or journals Experience in state of the art deep learning models architecture design and deep learning training and optimization and model pruning Experience with multimodal and omni models: vision language models, audio language or speech models, or omni architectures that jointly process text, audio, and video. Experience with neural network compression techniques (quantization, knowledge distillation, structured pruning, low rank factorization) for resource constrained deployment. Familiarity with mixed precision training and inference (FP16, BF16, FP8, INT8, INT4) and low bit quantization. Experience with edge deployment, model compilation, or inference optimization, and an understanding of hardware aware trade offs. Experience with large scale ML systems, including profiling, debugging, and reasoning about system performance. Equal Opportunity Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
