Operations Support Assistant Location : Site-based (either site) Earby, BB18 6JZ or Broughton, BD23 3AG Salary : £26,000 £28,000 per annum + Excellent Benefits Hours : 40 hours per week, Monday Friday (8-hour days, 30-minute lunch break) Contract Type : Full time, Permanent Benefits : Annual Bonus : £1,200 based on company and personal performance, Holidays : 25 days plus statutory holidays (option to purchase additional week), Broughton Day : Option for a fixed day off every 2 3 weeks via salary sacrifice, Pension : Auto-enrolment, Life Insurance : 2x death in service and Healthcare : Cash plan Broughton s mission is to improve public health and well-being. As a global contract research organisation, we partner with future-focused organisations and category innovators to bring products to market across the Pharmaceutical, Healthcare, and Lifestyle sectors. Our integrated solutions are delivered by world-leading scientists and regulatory consultants through our contract laboratories. We are seeking an Operations Support Assistant to join our team! This role is essential in supporting laboratory operations and ensuring timely completion of analyses. While this is not a scientific role, it offers the chance to work closely with our laboratory teams and gain insight into the workings of an analytical environment. You ll play a vital role in supporting the smooth running of our laboratories. This is an opportunity to join a collaborative team where attention to detail and pride in your work make a real difference to the success of our operations. You ll be involved in a variety of tasks that keep our labs functioning efficiently, from managing stock and glassware to registering client samples and supporting physical testing. If you enjoy working in a structured environment and take satisfaction in ensuring everything runs seamlessly, this role is for you! As our Operations Support Assistant, you will: Support laboratory teams in day-to-day tasks. Perform laboratory housekeeping and ensure compliance with regulations. Register client samples and manage sample receipt and reconciliation. Maintain availability of clean glassware and perform routine stocktakes. Follow the KANBAN process to ensure timely ordering of stock and reagents. Book chemicals and consumables in and out, ensuring accurate records. Prepare high-demand diluents and other solutions as required. Perform some physical chemistry testing and operate vaping simulation hardware. Travel between sites occasionally to support stability and archive activities. Maintain and understand the QMS and produce quality documents in line with data integrity requirements. Support the laboratory team as required and perform other duties as needed. In order to be successful in this role you must have / be: Good attention to detail and ability to follow instructions carefully. Good IT skills, including working knowledge of Microsoft applications. Strong verbal, numerical, and literacy skills. It would be great if you had: Good written English and organisational skills. GCSE or equivalent in a science-related subject with a desire to learn the workings of an analytical laboratory. Join us and be part of a team that s shaping the future of health and well-being through science. If you are interested in this role, please do submit a copy of your CV by clicking on APPLY today! No agencies please.
May 15, 2026
Full time
Operations Support Assistant Location : Site-based (either site) Earby, BB18 6JZ or Broughton, BD23 3AG Salary : £26,000 £28,000 per annum + Excellent Benefits Hours : 40 hours per week, Monday Friday (8-hour days, 30-minute lunch break) Contract Type : Full time, Permanent Benefits : Annual Bonus : £1,200 based on company and personal performance, Holidays : 25 days plus statutory holidays (option to purchase additional week), Broughton Day : Option for a fixed day off every 2 3 weeks via salary sacrifice, Pension : Auto-enrolment, Life Insurance : 2x death in service and Healthcare : Cash plan Broughton s mission is to improve public health and well-being. As a global contract research organisation, we partner with future-focused organisations and category innovators to bring products to market across the Pharmaceutical, Healthcare, and Lifestyle sectors. Our integrated solutions are delivered by world-leading scientists and regulatory consultants through our contract laboratories. We are seeking an Operations Support Assistant to join our team! This role is essential in supporting laboratory operations and ensuring timely completion of analyses. While this is not a scientific role, it offers the chance to work closely with our laboratory teams and gain insight into the workings of an analytical environment. You ll play a vital role in supporting the smooth running of our laboratories. This is an opportunity to join a collaborative team where attention to detail and pride in your work make a real difference to the success of our operations. You ll be involved in a variety of tasks that keep our labs functioning efficiently, from managing stock and glassware to registering client samples and supporting physical testing. If you enjoy working in a structured environment and take satisfaction in ensuring everything runs seamlessly, this role is for you! As our Operations Support Assistant, you will: Support laboratory teams in day-to-day tasks. Perform laboratory housekeeping and ensure compliance with regulations. Register client samples and manage sample receipt and reconciliation. Maintain availability of clean glassware and perform routine stocktakes. Follow the KANBAN process to ensure timely ordering of stock and reagents. Book chemicals and consumables in and out, ensuring accurate records. Prepare high-demand diluents and other solutions as required. Perform some physical chemistry testing and operate vaping simulation hardware. Travel between sites occasionally to support stability and archive activities. Maintain and understand the QMS and produce quality documents in line with data integrity requirements. Support the laboratory team as required and perform other duties as needed. In order to be successful in this role you must have / be: Good attention to detail and ability to follow instructions carefully. Good IT skills, including working knowledge of Microsoft applications. Strong verbal, numerical, and literacy skills. It would be great if you had: Good written English and organisational skills. GCSE or equivalent in a science-related subject with a desire to learn the workings of an analytical laboratory. Join us and be part of a team that s shaping the future of health and well-being through science. If you are interested in this role, please do submit a copy of your CV by clicking on APPLY today! No agencies please.
Premier Recruitment Group Limited
Dartford, London
Right Match Recruitment Group has the privilege to recruit on behalf of our very prestigious client based in Dartford, Kent.We are recruiting for experienced and forward thinking Assay Development Project Leader . This is full time and permanent position and working for very well established company. Very interesting and varied role with a scope for progression. Responsibilities: Plan and coordinate laboratory research as technical lead or as technical support for an assay development project. Verify the adequacy of diagnostic performance of an immunoassay. Act as interface with internal and external scientists and other departments. Coordinate the activities of the Product Development scientists as a Team Leader. Coordinate and monitors, in collaboration with the Project Co-Ordinator and Global Project Manager, the performance of assigned projects. Manage a small team of Product Development Scientists Assist with the preparation of the annual PD budget and forecasts Adhere to GOPs and SOPS as well as meeting external and internal quality standards. Collaborate with the Regulatory departments for the drafting the pre-submission documents (pre-IDE) and the submission documents to notified bodies as well as responding to questions from regulatory bodies. Liaise with other sites as the project portfolio requires. Completing all the required documentation for completion of Product Design phases and Technical documentation required. Escalate issues in project completion, budget etc. in a timely fashion when required. Approach the role in a flexible manner and be prepared to adapt to requirements outside of the immediate role that are essential to the organisation. Skill requirements Science based degree or relevant experience desirable. Good interpersonal and communication skills. Ability to lead a team. Understanding of regulatory requirements for different sales markets for IVD products. At least two years experience with immuno diagnostic product design development or design change. The ability to adapt to quickly changing priorities. If you are interested please apply directly or call Tom Kurczab at Right Match Recruitment Group. INDTKJOBS
May 15, 2026
Full time
Right Match Recruitment Group has the privilege to recruit on behalf of our very prestigious client based in Dartford, Kent.We are recruiting for experienced and forward thinking Assay Development Project Leader . This is full time and permanent position and working for very well established company. Very interesting and varied role with a scope for progression. Responsibilities: Plan and coordinate laboratory research as technical lead or as technical support for an assay development project. Verify the adequacy of diagnostic performance of an immunoassay. Act as interface with internal and external scientists and other departments. Coordinate the activities of the Product Development scientists as a Team Leader. Coordinate and monitors, in collaboration with the Project Co-Ordinator and Global Project Manager, the performance of assigned projects. Manage a small team of Product Development Scientists Assist with the preparation of the annual PD budget and forecasts Adhere to GOPs and SOPS as well as meeting external and internal quality standards. Collaborate with the Regulatory departments for the drafting the pre-submission documents (pre-IDE) and the submission documents to notified bodies as well as responding to questions from regulatory bodies. Liaise with other sites as the project portfolio requires. Completing all the required documentation for completion of Product Design phases and Technical documentation required. Escalate issues in project completion, budget etc. in a timely fashion when required. Approach the role in a flexible manner and be prepared to adapt to requirements outside of the immediate role that are essential to the organisation. Skill requirements Science based degree or relevant experience desirable. Good interpersonal and communication skills. Ability to lead a team. Understanding of regulatory requirements for different sales markets for IVD products. At least two years experience with immuno diagnostic product design development or design change. The ability to adapt to quickly changing priorities. If you are interested please apply directly or call Tom Kurczab at Right Match Recruitment Group. INDTKJOBS
Data Scientist - Bristol (Hybrid 3 days office) Full-time Permanent Are you a data scientist who thrives on turning complex data into real commercial impact? Do you enjoy building scalable, repeatable solutions rather than one-off analysis? Are you excited by the opportunity to shape a product from the ground up? If so, this could be your next move. We're partnering with a fast-growing B2B SaaS business that blends behavioural science with cutting-edge data to help major consumer brands better understand and influence human behaviour. The product is already delivering strong results-and now the team is scaling it to the next level. This is a rare opportunity to step into a role where data science, product, and customer insight all meet. You'll be the key link between customers, product, and engineering-identifying valuable insights, shaping features, and helping embed them directly into a scalable SaaS platform. The Role You'll work closely with Customer Success to uncover what clients actually need from their data, translate that into structured data science problems, and then design and prototype features that can be rolled out across the platform. You'll also work directly with Product and Engineering to turn prototypes into production-ready features, while engaging with customers to validate ideas and refine direction. This is a highly visible role reporting into a Co-Founder, and will play a central part in shaping both the product roadmap and customer experience. What you'll be doing Designing, prototyping, and testing data-driven product features Translating business and customer needs into data science problems Building clear, engaging data outputs that demonstrate value Working with Product & Engineering to scale solutions across a SaaS platform Presenting insights and prototypes to both technical and non-technical audiences Gathering and analysing customer feedback to influence product direction Supporting Customer Success and Marketing with customer value storytelling Helping prioritise product development based on data and customer insight Occasionally supporting client-facing delivery and professional services work What we're looking for Strong Python skills for data science (pandas, seaborn, plotly) Experience turning data into clear, engaging business insights Confidence working across product, engineering, and customer teams Ability to translate business needs into structured technical requirements Strong communication skills, including presenting to non-technical stakeholders A proactive mindset-you don't wait to be told what to do Excellent organisation and attention to detail Nice to have Experience building production-level code Background in marketing analytics or campaign data Product management exposure Experience with geospatial data A/B testing knowledge Docker or containerisation experience Linux / Bash familiarity Experience delivering training or customer enablement sessions Why this role? This is a chance to join a small but ambitious team building something genuinely novel in behavioural science and marketing analytics. The product already has strong traction, and the next stage is about scaling impact, deepening capability, and pushing the boundaries of what's possible in data-driven marketing. If you want a role where your work directly shapes a product-and where data science sits at the heart of commercial value-this is one to explore. Please apply by sending your CV to (url removed)
May 15, 2026
Full time
Data Scientist - Bristol (Hybrid 3 days office) Full-time Permanent Are you a data scientist who thrives on turning complex data into real commercial impact? Do you enjoy building scalable, repeatable solutions rather than one-off analysis? Are you excited by the opportunity to shape a product from the ground up? If so, this could be your next move. We're partnering with a fast-growing B2B SaaS business that blends behavioural science with cutting-edge data to help major consumer brands better understand and influence human behaviour. The product is already delivering strong results-and now the team is scaling it to the next level. This is a rare opportunity to step into a role where data science, product, and customer insight all meet. You'll be the key link between customers, product, and engineering-identifying valuable insights, shaping features, and helping embed them directly into a scalable SaaS platform. The Role You'll work closely with Customer Success to uncover what clients actually need from their data, translate that into structured data science problems, and then design and prototype features that can be rolled out across the platform. You'll also work directly with Product and Engineering to turn prototypes into production-ready features, while engaging with customers to validate ideas and refine direction. This is a highly visible role reporting into a Co-Founder, and will play a central part in shaping both the product roadmap and customer experience. What you'll be doing Designing, prototyping, and testing data-driven product features Translating business and customer needs into data science problems Building clear, engaging data outputs that demonstrate value Working with Product & Engineering to scale solutions across a SaaS platform Presenting insights and prototypes to both technical and non-technical audiences Gathering and analysing customer feedback to influence product direction Supporting Customer Success and Marketing with customer value storytelling Helping prioritise product development based on data and customer insight Occasionally supporting client-facing delivery and professional services work What we're looking for Strong Python skills for data science (pandas, seaborn, plotly) Experience turning data into clear, engaging business insights Confidence working across product, engineering, and customer teams Ability to translate business needs into structured technical requirements Strong communication skills, including presenting to non-technical stakeholders A proactive mindset-you don't wait to be told what to do Excellent organisation and attention to detail Nice to have Experience building production-level code Background in marketing analytics or campaign data Product management exposure Experience with geospatial data A/B testing knowledge Docker or containerisation experience Linux / Bash familiarity Experience delivering training or customer enablement sessions Why this role? This is a chance to join a small but ambitious team building something genuinely novel in behavioural science and marketing analytics. The product already has strong traction, and the next stage is about scaling impact, deepening capability, and pushing the boundaries of what's possible in data-driven marketing. If you want a role where your work directly shapes a product-and where data science sits at the heart of commercial value-this is one to explore. Please apply by sending your CV to (url removed)
Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.
May 15, 2026
Full time
Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.
Machine Learning Developer - Quant Strategies An exciting position has become available with an innovative investor who is looking for a Machine Learning Developer to focus on quantitative strategies and research. This exciting new role will give the Machine Learning Developer an opportunity to work alongside some of the brightest minds in the industry as well as on some of the most exciting technologies in the sector. In terms of day-to-day activities you will be building brand-new statistical models across a number of different applications/sectors including equities and commodities. You will be liaising with partners from across the business with the sole aim of delivering robust solutions to their requirements and outperforming the competition. This role will provide you with a forward-thinking work environment whilst also giving you the opportunity to make a real-world difference. It is anticipated that you will become the machine learning authority and will regularly attend events and deliver presentations. To be considered for this exciting role you will need to have a degree in Mathematics, Computer Science or Physics as well as strong knowledge of python or C++. This will be coupled with hands-on development experience within a highly scientific field or quant strat. In exchange for your skills and expertise, the company offer a highly competitive package as well as providing excellent career progression and training. The company also offer relocation packages to make a move as easy as possible for you. Due to the nature of the business you will always have something new on the horizon as well time dedicated to personal projects and ideas. For more details make a confidential application now and a member of our team will be in touch. Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices, machine learning and scientific technology sectors, across Europe. We partner with companies, ranging from early stage start-ups through to multinationals, helping them secure highly sought after skill sets. Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python. C++, Monte Carlo.
May 15, 2026
Full time
Machine Learning Developer - Quant Strategies An exciting position has become available with an innovative investor who is looking for a Machine Learning Developer to focus on quantitative strategies and research. This exciting new role will give the Machine Learning Developer an opportunity to work alongside some of the brightest minds in the industry as well as on some of the most exciting technologies in the sector. In terms of day-to-day activities you will be building brand-new statistical models across a number of different applications/sectors including equities and commodities. You will be liaising with partners from across the business with the sole aim of delivering robust solutions to their requirements and outperforming the competition. This role will provide you with a forward-thinking work environment whilst also giving you the opportunity to make a real-world difference. It is anticipated that you will become the machine learning authority and will regularly attend events and deliver presentations. To be considered for this exciting role you will need to have a degree in Mathematics, Computer Science or Physics as well as strong knowledge of python or C++. This will be coupled with hands-on development experience within a highly scientific field or quant strat. In exchange for your skills and expertise, the company offer a highly competitive package as well as providing excellent career progression and training. The company also offer relocation packages to make a move as easy as possible for you. Due to the nature of the business you will always have something new on the horizon as well time dedicated to personal projects and ideas. For more details make a confidential application now and a member of our team will be in touch. Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices, machine learning and scientific technology sectors, across Europe. We partner with companies, ranging from early stage start-ups through to multinationals, helping them secure highly sought after skill sets. Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python. C++, Monte Carlo.
C++ Developer - Investment Tools and Signals Newton Colmore is looking for an experienced C++ developer with a strong interest in finance and technology to join a newly established investment team, developing cutting edge tools and algorithms. You will be working closely with quantitative researchers, and traders and fellow developers to create software that drives the company's investment strategies and delivers alpha across a broad spectrum of markets and instruments. This is a key hire for this team and your key responsibilities will include the development and maintenance of C++ applications for alpha signal generation and equity research, mixed in with building new tools for advanced data processing and multithreaded statistical analysis. You will also have the opportunity to help shape the future of this team as it grows. In terms of what the client is ideally looking for, they are searching for strong C++ expertise, coupled with industry knowledge and a naturally curious mindset. The Ideal industry experience would be from a hedge fund, proprietary trading firm or from a more general fintech background. The team like to hire people who are coachable and the ideal experience level for this role is 2-to-4 years. There is a degree of flexibility on this for the right candidate. The company can offer tailored compensation packages, which includes bonuses and a series of other benefits and provide the opportunity to work on cutting-edge technology and alongside some of the brightest minds in the industry. Your application will be confidential, and your details will only be shared with our client after our initial call and only with your expressed permission, if you feel you are a strong fit. Newton Colmore is a specialist recruitment consultancy, and we search for and introduce world-class engineers, scientists, and developers to impactful companies, globally. Get in touch if you would like to know more.
May 15, 2026
Full time
C++ Developer - Investment Tools and Signals Newton Colmore is looking for an experienced C++ developer with a strong interest in finance and technology to join a newly established investment team, developing cutting edge tools and algorithms. You will be working closely with quantitative researchers, and traders and fellow developers to create software that drives the company's investment strategies and delivers alpha across a broad spectrum of markets and instruments. This is a key hire for this team and your key responsibilities will include the development and maintenance of C++ applications for alpha signal generation and equity research, mixed in with building new tools for advanced data processing and multithreaded statistical analysis. You will also have the opportunity to help shape the future of this team as it grows. In terms of what the client is ideally looking for, they are searching for strong C++ expertise, coupled with industry knowledge and a naturally curious mindset. The Ideal industry experience would be from a hedge fund, proprietary trading firm or from a more general fintech background. The team like to hire people who are coachable and the ideal experience level for this role is 2-to-4 years. There is a degree of flexibility on this for the right candidate. The company can offer tailored compensation packages, which includes bonuses and a series of other benefits and provide the opportunity to work on cutting-edge technology and alongside some of the brightest minds in the industry. Your application will be confidential, and your details will only be shared with our client after our initial call and only with your expressed permission, if you feel you are a strong fit. Newton Colmore is a specialist recruitment consultancy, and we search for and introduce world-class engineers, scientists, and developers to impactful companies, globally. Get in touch if you would like to know more.
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
May 15, 2026
Full time
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Overview About Certara Certara accelerates the potential of bringing medicines to market and to patients using biosimulation software, technology, and services to transform traditional drug discovery and development. Our clients include more than 2,400 biopharmaceutical companies, academic institutions, and regulatory agencies across 70 countries. Our goal is to enable the life sciences industry's use of data, modeling, and analytics to make better decisions across the various phases of discovery and drug development. Our software and scientists incorporate modern advances in scientific understanding, drug development experience, data analysis, and AI resulting in significant opportunities to decrease the cost and increase the probability of success for new drug approval and commercialization. The Vice President of PBPK provides strategic, scientific, and organizational leadership for all physiologically based pharmacokinetic (PBPK) modeling and simulation activities across the company. This role is responsible for setting the vision for PBPK integration across discovery, preclinical, and clinical development, ensuring scientific excellence, regulatory impact, and business value. The SVP PBPK serves as a key scientific authority, internal advisor, and external thought leader in model-informed drug development (MIDD). Responsibilities Strategic Leadership Define and execute the company's PBPK strategy aligned with R&D, regulatory, and corporate objectives Drive integration of PBPK modeling into decision-making across discovery, translational science, clinical development, and lifecycle management Serve as a core member of senior leadership, influencing portfolio strategy and development prioritization Scientific & Technical Oversight Provide expert oversight of PBPK model development, qualification, validation, and application Ensure best-in-class scientific rigor, innovation, and adoption of emerging methodologies and platforms Guide PBPK applications including first-in-human dose selection, DDIs, special populations, pediatrics, formulation changes, and label claims Regulatory & External Engagement Lead PBPK strategy for global regulatory interactions (FDA, EMA, PMDA, etc.) Act as a primary scientific representative in regulatory meetings, advisory boards, and industry consortia Contribute to regulatory submissions, briefing documents, and responses related to PBPK and MIDD Organizational Leadership Build, mentor, and lead a high-performing PBPK and modeling organization Foster a culture of collaboration, scientific excellence, and continuous development Partner cross-functionally with clinical pharmacology, biostatistics, toxicology, chemistry, clinical, regulatory, and commercial teams Thought Leadership & Innovation Maintain external visibility through publications, presentations, and professional societies Evaluate and implement new modeling technologies, platforms, and data sources Shape industry standards and best practices in PBPK and model-informed drug development Qualifications Education PhD in Pharmacokinetics, Pharmaceutical Sciences, Biomedical Engineering, Chemical Engineering, Applied Mathematics, or a related field Experience 12+ years of progressive experience in PBPK modeling within pharma, biotech, CRO, or regulatory agencies Demonstrated leadership of PBPK or MIDD groups at a senior or executive level Proven track record of successful regulatory impact using PBPK approaches Experience influencing portfolio and development strategy at the enterprise level Skills & Competencies Deep technical expertise in PBPK theory, software platforms, and applications Strong regulatory knowledge and experience with global health authorities Exceptional leadership, communication, and stakeholder-management skills Strategic thinker with the ability to translate complex science into business value Preferred Attributes Recognized external expert or opinion leader in PBPK or MIDD Certara bases all employment-related decision on merit, taking into consideration qualifications, skills, achievement, and performance. We treat all applicants and employees without regard to personal characteristics such as race, color, ethnicity, religion, sex, sexual orientation, age, nationality, marital status, pregnancy, physical or mental condition, genetic information, military service or other characteristic protected by law.
May 15, 2026
Full time
Overview About Certara Certara accelerates the potential of bringing medicines to market and to patients using biosimulation software, technology, and services to transform traditional drug discovery and development. Our clients include more than 2,400 biopharmaceutical companies, academic institutions, and regulatory agencies across 70 countries. Our goal is to enable the life sciences industry's use of data, modeling, and analytics to make better decisions across the various phases of discovery and drug development. Our software and scientists incorporate modern advances in scientific understanding, drug development experience, data analysis, and AI resulting in significant opportunities to decrease the cost and increase the probability of success for new drug approval and commercialization. The Vice President of PBPK provides strategic, scientific, and organizational leadership for all physiologically based pharmacokinetic (PBPK) modeling and simulation activities across the company. This role is responsible for setting the vision for PBPK integration across discovery, preclinical, and clinical development, ensuring scientific excellence, regulatory impact, and business value. The SVP PBPK serves as a key scientific authority, internal advisor, and external thought leader in model-informed drug development (MIDD). Responsibilities Strategic Leadership Define and execute the company's PBPK strategy aligned with R&D, regulatory, and corporate objectives Drive integration of PBPK modeling into decision-making across discovery, translational science, clinical development, and lifecycle management Serve as a core member of senior leadership, influencing portfolio strategy and development prioritization Scientific & Technical Oversight Provide expert oversight of PBPK model development, qualification, validation, and application Ensure best-in-class scientific rigor, innovation, and adoption of emerging methodologies and platforms Guide PBPK applications including first-in-human dose selection, DDIs, special populations, pediatrics, formulation changes, and label claims Regulatory & External Engagement Lead PBPK strategy for global regulatory interactions (FDA, EMA, PMDA, etc.) Act as a primary scientific representative in regulatory meetings, advisory boards, and industry consortia Contribute to regulatory submissions, briefing documents, and responses related to PBPK and MIDD Organizational Leadership Build, mentor, and lead a high-performing PBPK and modeling organization Foster a culture of collaboration, scientific excellence, and continuous development Partner cross-functionally with clinical pharmacology, biostatistics, toxicology, chemistry, clinical, regulatory, and commercial teams Thought Leadership & Innovation Maintain external visibility through publications, presentations, and professional societies Evaluate and implement new modeling technologies, platforms, and data sources Shape industry standards and best practices in PBPK and model-informed drug development Qualifications Education PhD in Pharmacokinetics, Pharmaceutical Sciences, Biomedical Engineering, Chemical Engineering, Applied Mathematics, or a related field Experience 12+ years of progressive experience in PBPK modeling within pharma, biotech, CRO, or regulatory agencies Demonstrated leadership of PBPK or MIDD groups at a senior or executive level Proven track record of successful regulatory impact using PBPK approaches Experience influencing portfolio and development strategy at the enterprise level Skills & Competencies Deep technical expertise in PBPK theory, software platforms, and applications Strong regulatory knowledge and experience with global health authorities Exceptional leadership, communication, and stakeholder-management skills Strategic thinker with the ability to translate complex science into business value Preferred Attributes Recognized external expert or opinion leader in PBPK or MIDD Certara bases all employment-related decision on merit, taking into consideration qualifications, skills, achievement, and performance. We treat all applicants and employees without regard to personal characteristics such as race, color, ethnicity, religion, sex, sexual orientation, age, nationality, marital status, pregnancy, physical or mental condition, genetic information, military service or other characteristic protected by law.
As a Product Manager for AI Data Products , you will be a founding architect of our modern data ecosystem. Operating within the Data Enablement team, your mission is to transform raw data into a strategic asset that powers our Global Client Groups across Sales, Marketing, and Digital Experience. What We're Looking For Experience: 5+ years in Product Management with a track record of launching data platforms or AI-enabled products . Domain Expertise: Proven experience in B2B or B2B2C environments, ideally within Financial Services, Asset Management , or a similarly regulated industry. Technical Proficiency: Hands-on experience with Data Lakes/Warehouses (e.g., Snowflake), Feature Stores, and MLOps concepts. Data Literacy: Ability to perform data profiling and analysis using SQL and Python to drive product decisions. Communication: Exceptional ability to influence a diverse audience, from C-suite leaders to deeply technical engineers and data scientists. Education: Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering , or a related field (Master's preferred). Technical Skills Required Data Tools: SQL, Python, Snowflake/Databricks, Tableau/Power BI. Frameworks: Agile/Scrum, MLOps, Data Governance, Metadata Management. Integration: API design, event-driven architecture, and data modeling. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
May 15, 2026
Contractor
As a Product Manager for AI Data Products , you will be a founding architect of our modern data ecosystem. Operating within the Data Enablement team, your mission is to transform raw data into a strategic asset that powers our Global Client Groups across Sales, Marketing, and Digital Experience. What We're Looking For Experience: 5+ years in Product Management with a track record of launching data platforms or AI-enabled products . Domain Expertise: Proven experience in B2B or B2B2C environments, ideally within Financial Services, Asset Management , or a similarly regulated industry. Technical Proficiency: Hands-on experience with Data Lakes/Warehouses (e.g., Snowflake), Feature Stores, and MLOps concepts. Data Literacy: Ability to perform data profiling and analysis using SQL and Python to drive product decisions. Communication: Exceptional ability to influence a diverse audience, from C-suite leaders to deeply technical engineers and data scientists. Education: Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering , or a related field (Master's preferred). Technical Skills Required Data Tools: SQL, Python, Snowflake/Databricks, Tableau/Power BI. Frameworks: Agile/Scrum, MLOps, Data Governance, Metadata Management. Integration: API design, event-driven architecture, and data modeling. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Senior Product Analyst - £80,000 (Hybrid - London) Industry: Global Consumer Marketplace / App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core product domain Drive deep product analytics to uncover opportunities for growth and engagement Design, analyse, and interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/B testing experience (design + interpretation) Strong understanding of ETL/debugging data issues Excellent communication and stakeholder management skills Commercially-minded with experience balancing user and business needs Bonus: marketplace experience or exposure to ML-driven products Why Apply High-impact role shaping core product decisions Great benefits, flexible work, and strong wellbeing support Opportunity to work closely with ML teams and influence a global user experience Find out more and apply via the link below.
May 15, 2026
Full time
Senior Product Analyst - £80,000 (Hybrid - London) Industry: Global Consumer Marketplace / App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core product domain Drive deep product analytics to uncover opportunities for growth and engagement Design, analyse, and interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/B testing experience (design + interpretation) Strong understanding of ETL/debugging data issues Excellent communication and stakeholder management skills Commercially-minded with experience balancing user and business needs Bonus: marketplace experience or exposure to ML-driven products Why Apply High-impact role shaping core product decisions Great benefits, flexible work, and strong wellbeing support Opportunity to work closely with ML teams and influence a global user experience Find out more and apply via the link below.
An exciting new opportunity has arisen with a leading equipment manufacturer in South Gloucestershire, for Project / Programme Manager to lead NPI Projects Offered on a permanent basis with a hybrid working model. (3-5 days onsite). Reporting to the Engineering Director, you will lead on the development of new products, taking initial ideas from research scientist, through planning stages, through manufacture to successful product launch, and final delivery to customer. Promoting and improving project management and product development processes, you will lead the project teams to ensure on time delivery of new products. With a strong background in Project Management and NPI Engineering, you will lead and manage the project deliverables at all stages of high value products and systems. Working with key stakeholders to ensure overall project schedules, quality assurance and costs meet business requirements. Working with Sales, Service and Marketing, you will ensure seamless product release and shipping / delivery to end users. Experience: You should have a proven track record in delivering similar NPI projects and seeing new products through the process to final customer acceptance. You should have a proven track record in managing multiple projects at any one time, ie programme management. Additional Information: Candidates MUST be eligible to live and work in the UK without requiring sponsorship. Copies of Passport and Visa will be requested for verification. Salary: c 70-80k, depend on experience, plus benefits Job Term : Permanent, Full Time, 3 Days Onsite Hybrid. Skills: NPI, NPI Manager, Project Manager, Project Management. To Apply: Please send CV and Covering Letter to Iona Mulligan
May 15, 2026
Full time
An exciting new opportunity has arisen with a leading equipment manufacturer in South Gloucestershire, for Project / Programme Manager to lead NPI Projects Offered on a permanent basis with a hybrid working model. (3-5 days onsite). Reporting to the Engineering Director, you will lead on the development of new products, taking initial ideas from research scientist, through planning stages, through manufacture to successful product launch, and final delivery to customer. Promoting and improving project management and product development processes, you will lead the project teams to ensure on time delivery of new products. With a strong background in Project Management and NPI Engineering, you will lead and manage the project deliverables at all stages of high value products and systems. Working with key stakeholders to ensure overall project schedules, quality assurance and costs meet business requirements. Working with Sales, Service and Marketing, you will ensure seamless product release and shipping / delivery to end users. Experience: You should have a proven track record in delivering similar NPI projects and seeing new products through the process to final customer acceptance. You should have a proven track record in managing multiple projects at any one time, ie programme management. Additional Information: Candidates MUST be eligible to live and work in the UK without requiring sponsorship. Copies of Passport and Visa will be requested for verification. Salary: c 70-80k, depend on experience, plus benefits Job Term : Permanent, Full Time, 3 Days Onsite Hybrid. Skills: NPI, NPI Manager, Project Manager, Project Management. To Apply: Please send CV and Covering Letter to Iona Mulligan
Principal Analytical Chemist SE England Permanent Our SE based client is currently looking to recruit a Principal Analytical Chemist to perform complex method development and validation using LC-MS / HPLC on a variety of synthesised chemicals and API molecules. This is a hands-on role and would suit someone who enjoys developing novel methods from first principles in busy commercial manufacturing environment. Additional duties for this role will include : Leading a small team of Analytical Chemists, assisting with ongoing project work when required Instrument and method trouble-shooting , solving problems to enable analyses to be completed Working with Synthetic / Process Chemists to understand synthesised chemicals to ultimately ensure the successful analysis of a range of molecules Leading on a number of analytical projects, understanding GMP requirements and defining scope of analytical projects and milestones Understanding / performing analyses with a range of other chromatography, spectroscopy and techniques (including NMR, ICP and others) Completing detailed GMP documentation and reports, ensuring analytical success Understanding new approaches in analytical methodologies and techniques and implementing method improvements Training and mentoring others, leading by example on complex problem solving challenges Applications are invited from candidates with a BSc, MSc, PhD in Analytical Chemistry (or similar) together with proven demonstrable hands-on skills performing complex GMP method development and validation using chromatography systems in an API / synthesis environment For further information or to apply please contact (url removed) (phone number removed) This is a permanent role offering an attractive salary depending on skills and experience Role : Permanent Location : SE England
May 15, 2026
Full time
Principal Analytical Chemist SE England Permanent Our SE based client is currently looking to recruit a Principal Analytical Chemist to perform complex method development and validation using LC-MS / HPLC on a variety of synthesised chemicals and API molecules. This is a hands-on role and would suit someone who enjoys developing novel methods from first principles in busy commercial manufacturing environment. Additional duties for this role will include : Leading a small team of Analytical Chemists, assisting with ongoing project work when required Instrument and method trouble-shooting , solving problems to enable analyses to be completed Working with Synthetic / Process Chemists to understand synthesised chemicals to ultimately ensure the successful analysis of a range of molecules Leading on a number of analytical projects, understanding GMP requirements and defining scope of analytical projects and milestones Understanding / performing analyses with a range of other chromatography, spectroscopy and techniques (including NMR, ICP and others) Completing detailed GMP documentation and reports, ensuring analytical success Understanding new approaches in analytical methodologies and techniques and implementing method improvements Training and mentoring others, leading by example on complex problem solving challenges Applications are invited from candidates with a BSc, MSc, PhD in Analytical Chemistry (or similar) together with proven demonstrable hands-on skills performing complex GMP method development and validation using chromatography systems in an API / synthesis environment For further information or to apply please contact (url removed) (phone number removed) This is a permanent role offering an attractive salary depending on skills and experience Role : Permanent Location : SE England
Title: Python Engineer Salary: Up to £60,000 Location: Bristol (On-site) Are you a Python Engineer looking to work on complex, high-impact data problems in a fast-moving and innovative sector? I'm working with a market-leading trading firm at the heart of the UK's energy transition. They use advanced forecasting and trading technology to help balance the National Grid, playing a crucial role in supporting the UK's decarbonisation efforts. This is a small, highly skilled team where technology and trading go hand in hand. You'll be building and optimising the internal data infrastructure that powers critical trading decisions. This is a hands-on role with real impact, and your work will be used daily by traders and data scientists. What they're looking for: Strong skills in Python and SQL Experience building end-to-end data pipelines (streaming or batch) Solid understanding of AWS (EC2, ECS, RDS, S3) 2+ years of relevant experience in data engineering Great communication skills - comfortable collaborating with traders, devs, and data scientists Happy to work onsite in central Bristol most of the time Nice to have: Experience in trading, betting or energy markets AWS data engineering tools, Docker, DevOps or Apache suite Analytical background and data modelling experience Why this role? Private medical, dental & life assurance 30 days annual leave + public holidays Cycle-to-Work scheme Annual company ski trips & regular socials Further training & development opportunities Direct access to leadership - no red tap This is a brilliant opportunity to work with cutting-edge data systems that directly impact trading strategy in a company where your ideas will be heard and your work will make a difference. If you're interested in this role, or know someone who would be, then please apply to this role and reach out
May 15, 2026
Full time
Title: Python Engineer Salary: Up to £60,000 Location: Bristol (On-site) Are you a Python Engineer looking to work on complex, high-impact data problems in a fast-moving and innovative sector? I'm working with a market-leading trading firm at the heart of the UK's energy transition. They use advanced forecasting and trading technology to help balance the National Grid, playing a crucial role in supporting the UK's decarbonisation efforts. This is a small, highly skilled team where technology and trading go hand in hand. You'll be building and optimising the internal data infrastructure that powers critical trading decisions. This is a hands-on role with real impact, and your work will be used daily by traders and data scientists. What they're looking for: Strong skills in Python and SQL Experience building end-to-end data pipelines (streaming or batch) Solid understanding of AWS (EC2, ECS, RDS, S3) 2+ years of relevant experience in data engineering Great communication skills - comfortable collaborating with traders, devs, and data scientists Happy to work onsite in central Bristol most of the time Nice to have: Experience in trading, betting or energy markets AWS data engineering tools, Docker, DevOps or Apache suite Analytical background and data modelling experience Why this role? Private medical, dental & life assurance 30 days annual leave + public holidays Cycle-to-Work scheme Annual company ski trips & regular socials Further training & development opportunities Direct access to leadership - no red tap This is a brilliant opportunity to work with cutting-edge data systems that directly impact trading strategy in a company where your ideas will be heard and your work will make a difference. If you're interested in this role, or know someone who would be, then please apply to this role and reach out
Senior Platform Engineer Build and operate the platforms that make AI and machine learning work at scale We're looking for a Senior Platform Engineer to join our team and play a key role in designing and operating the platform that underpins AI and machine learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role . Instead, your impact will come from creating the infrastructure, tooling, workflows, and guardrails that allow others to do that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific capabilities , rather than treating it as a finished product Provideplatform-level support for: Model development and experimentation Model packaging, deployment, and promotion Scalable inference and LLM-based workloads Build shared platform services that enable consistent, repeatable model deployment , even where day-to-day deployment is owned by MLOps or ML engineers Work closely with data scientists and MLOps engineers to ensure the platform is genuinely usable and fit for purpose Own platform operability, reliability, security, and life cycle management in production Troubleshoot complex issues that cut across infrastructure, Kubernetes, and MLOps layers Contribute to architectural decisions while remaining hands-on with implementation What we're looking for This role is ideal for someone who sees themselves first and foremost as a platform engineer , with the depth to support AI and ML workloads properly. Essential experience: Strong background as a Senior Platform Engineer or Senior DevOps Engineer Deep, hands-on experience building and operating Kubernetes-based platforms Strong practical experience with Helm and Infrastructure as Code (eg Terraform) Proven experience building internal platforms for other engineers , not just running workloads Strong grasp of operational fundamentals: monitoring, logging, reliability, incidents, and maintainability Comfortable collaborating closely with MLOps engineers and data scientists , even where responsibilities differ ML platform & MLOps knowledge (important) You don't need to be a Full time MLOps engineer - but you do need practical understanding of how ML and AI workloads behave in production. Experience or exposure to areas such as: MLOps platforms (eg Kubeflow or similar frameworks) Model serving and inference platforms (eg KServe, vLLM , or equivalent) Supporting LLM-based workloads , including performance and scaling considerations Notebook environments such as JupyterHub Awareness of emerging tooling around Responsible/Trustworthy AI or comparable solutions This ensures you're building a platform that actually works for AI use cases - not a generic compute layer. Desirable experience Working in organisations with a clear AI or data platform strategy Supporting data scientists or ML engineers at scale Experience in regulated, secure, or high-assurance environments Designing platforms that balance flexibility, governance, and control If you enjoy solving hard platform problems and understand that AI places real, specific demands on infrastructure, this role gives you the space and responsibility to make a genuine impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
May 15, 2026
Contractor
Senior Platform Engineer Build and operate the platforms that make AI and machine learning work at scale We're looking for a Senior Platform Engineer to join our team and play a key role in designing and operating the platform that underpins AI and machine learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role . Instead, your impact will come from creating the infrastructure, tooling, workflows, and guardrails that allow others to do that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific capabilities , rather than treating it as a finished product Provideplatform-level support for: Model development and experimentation Model packaging, deployment, and promotion Scalable inference and LLM-based workloads Build shared platform services that enable consistent, repeatable model deployment , even where day-to-day deployment is owned by MLOps or ML engineers Work closely with data scientists and MLOps engineers to ensure the platform is genuinely usable and fit for purpose Own platform operability, reliability, security, and life cycle management in production Troubleshoot complex issues that cut across infrastructure, Kubernetes, and MLOps layers Contribute to architectural decisions while remaining hands-on with implementation What we're looking for This role is ideal for someone who sees themselves first and foremost as a platform engineer , with the depth to support AI and ML workloads properly. Essential experience: Strong background as a Senior Platform Engineer or Senior DevOps Engineer Deep, hands-on experience building and operating Kubernetes-based platforms Strong practical experience with Helm and Infrastructure as Code (eg Terraform) Proven experience building internal platforms for other engineers , not just running workloads Strong grasp of operational fundamentals: monitoring, logging, reliability, incidents, and maintainability Comfortable collaborating closely with MLOps engineers and data scientists , even where responsibilities differ ML platform & MLOps knowledge (important) You don't need to be a Full time MLOps engineer - but you do need practical understanding of how ML and AI workloads behave in production. Experience or exposure to areas such as: MLOps platforms (eg Kubeflow or similar frameworks) Model serving and inference platforms (eg KServe, vLLM , or equivalent) Supporting LLM-based workloads , including performance and scaling considerations Notebook environments such as JupyterHub Awareness of emerging tooling around Responsible/Trustworthy AI or comparable solutions This ensures you're building a platform that actually works for AI use cases - not a generic compute layer. Desirable experience Working in organisations with a clear AI or data platform strategy Supporting data scientists or ML engineers at scale Experience in regulated, secure, or high-assurance environments Designing platforms that balance flexibility, governance, and control If you enjoy solving hard platform problems and understand that AI places real, specific demands on infrastructure, this role gives you the space and responsibility to make a genuine impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Lead AI-Enabled DevOps Engineer Technical leadership at the intersection of software, platforms, and AI We're seeking a Lead AI-Enabled DevOps Engineer to join a growing engineering capability and play a central role in shaping how AI is Embedded into real, production-grade software systems . This is not a traditional people-management role . Instead, you'll lead through technical depth, architectural judgement, and delivery experience by setting direction, guiding teams, and making informed decisions as AI capabilities are integrated into modern software platforms. If you enjoy working where architecture, APIs, DevOps, and AI meet , and you care about building systems that are secure, operable, and genuinely useful, this role offers the chance to have real impact. What you'll be doing Your focus will be on enabling AI within modern, API-first software platforms , particularly where Legacy or existing systems need to evolve to support new capabilities safely and effectively. You will: Provide technical leadership across AI-enabled software and DevOps engineering teams Set architectural direction for API-first design, system integration, and platform enablement for AI Lead the modernisation of Legacy or existing applications toward service-based, API-driven architectures Define and guide integration patterns between applications, platforms, and AI services Make pragmatic decisions about when and how emerging AI integration approaches (eg protocols such as MCP) should be adopted Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions Ensure solutions meet standards for security, resilience, performance, and operability Anticipate and manage architectural and operational risks associated with AI-enabled systems Champion strong engineering practices across software development, DevOps, and platform engineering Lead by example in complex environments where production reliability matters This is delivery-focused leadership , not experimentation for its own sake. What we're looking for We're looking for someone who combines senior technical credibility with the confidence to guide others and shape direction. Essential experience: Strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer , or similar hands-on leadership role Excellent software engineering fundamentals: system design, clean code, testing, and long-term maintainability Deep experience designing and delivering API-driven and microservice-based systems Proven ability to modernise or integrate Legacy systems into modern platforms Solid development experience in TypeScript and Python Experience spanning software delivery, CI/CD, infrastructure, and operations Comfortable setting direction and influencing teams without relying on formal authority Able to balance innovation with pragmatism in production environments Desirable experience: Integrating software systems with AI platforms or AI-enabled services Exposure to emerging AI integration patterns or protocols (eg Model Context Protocol ) Platform engineering or DevOps at scale Experience working in regulated or security-conscious environments Defining technical standards or architectural direction across multiple teams You'll be trusted to make decisions that matter, and supported by teams who value strong engineering leadership. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
May 15, 2026
Contractor
Lead AI-Enabled DevOps Engineer Technical leadership at the intersection of software, platforms, and AI We're seeking a Lead AI-Enabled DevOps Engineer to join a growing engineering capability and play a central role in shaping how AI is Embedded into real, production-grade software systems . This is not a traditional people-management role . Instead, you'll lead through technical depth, architectural judgement, and delivery experience by setting direction, guiding teams, and making informed decisions as AI capabilities are integrated into modern software platforms. If you enjoy working where architecture, APIs, DevOps, and AI meet , and you care about building systems that are secure, operable, and genuinely useful, this role offers the chance to have real impact. What you'll be doing Your focus will be on enabling AI within modern, API-first software platforms , particularly where Legacy or existing systems need to evolve to support new capabilities safely and effectively. You will: Provide technical leadership across AI-enabled software and DevOps engineering teams Set architectural direction for API-first design, system integration, and platform enablement for AI Lead the modernisation of Legacy or existing applications toward service-based, API-driven architectures Define and guide integration patterns between applications, platforms, and AI services Make pragmatic decisions about when and how emerging AI integration approaches (eg protocols such as MCP) should be adopted Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions Ensure solutions meet standards for security, resilience, performance, and operability Anticipate and manage architectural and operational risks associated with AI-enabled systems Champion strong engineering practices across software development, DevOps, and platform engineering Lead by example in complex environments where production reliability matters This is delivery-focused leadership , not experimentation for its own sake. What we're looking for We're looking for someone who combines senior technical credibility with the confidence to guide others and shape direction. Essential experience: Strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer , or similar hands-on leadership role Excellent software engineering fundamentals: system design, clean code, testing, and long-term maintainability Deep experience designing and delivering API-driven and microservice-based systems Proven ability to modernise or integrate Legacy systems into modern platforms Solid development experience in TypeScript and Python Experience spanning software delivery, CI/CD, infrastructure, and operations Comfortable setting direction and influencing teams without relying on formal authority Able to balance innovation with pragmatism in production environments Desirable experience: Integrating software systems with AI platforms or AI-enabled services Exposure to emerging AI integration patterns or protocols (eg Model Context Protocol ) Platform engineering or DevOps at scale Experience working in regulated or security-conscious environments Defining technical standards or architectural direction across multiple teams You'll be trusted to make decisions that matter, and supported by teams who value strong engineering leadership. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Senior Machine Learning Engineer Applying rigorous machine learning to real-world problems that matter We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment . This is a senior, hands-on practitioner role , not a people-management position. You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility . The organisation is outcome-led rather than technology-led . Where strong market solutions exist, they are used. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. This means the work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: Lead end-to-end machine learning delivery , from problem definition through experimentation, evaluation, and iteration Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results Design and run structured experiments to assess model behaviour, performance, and user impact Work with real, imperfect operational data , not just curated or static datasets Collect, assess, and transform data to support model evaluation and continuous improvement Balance rigour with pragmatism, delivering solutions that are robust, proportionate, and fit for purpose Integrate machine learning components into wider systems , considering performance, reliability, and operational constraints Communicate complex technical ideas clearly to non-technical stakeholders , enabling informed decision-making Engage confidently in deep technical design and review discussions with peers Operate effectively within a strong technical assurance and review culture Collaborate with internal teams and selected external partners working at the leading edge of AI What we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating on ML solutions Experience working with real-world, imperfect data from operational systems Strong software engineering practices, including readable, maintainable, and well-tested code Experience integrating ML components into broader production systems Clear understanding of data ethics, privacy, and responsible use of data Strong communication skills across technical and non-technical audiences Proven ability to lead work independently and take ownership of outcomes Technologies you'll encounter The environment evolves, but typical tools include: Python for experimentation, modelling, and evaluation Weights & Biases (or equivalent) for experiment tracking AWS , including services such as SageMaker and Bedrock Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools . Adaptability and outcome focus matter more than platform allegiance. Desirable experience Working in secure, safety-critical, or heavily regulated environments Background in sectors such as energy, oil & gas, defence, or public sector Experience within formal technical assurance or governance processes Collaboration with external suppliers, partners, or research organisations Comfort operating at pace where quality, safety, and compliance are non-negotiable If you enjoy solving complex problems, applying scientific thinking to messy reality, and delivering ML that stands up to scrutiny, this role offers both challenge and meaning. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
May 15, 2026
Contractor
Senior Machine Learning Engineer Applying rigorous machine learning to real-world problems that matter We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment . This is a senior, hands-on practitioner role , not a people-management position. You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility . The organisation is outcome-led rather than technology-led . Where strong market solutions exist, they are used. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. This means the work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: Lead end-to-end machine learning delivery , from problem definition through experimentation, evaluation, and iteration Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results Design and run structured experiments to assess model behaviour, performance, and user impact Work with real, imperfect operational data , not just curated or static datasets Collect, assess, and transform data to support model evaluation and continuous improvement Balance rigour with pragmatism, delivering solutions that are robust, proportionate, and fit for purpose Integrate machine learning components into wider systems , considering performance, reliability, and operational constraints Communicate complex technical ideas clearly to non-technical stakeholders , enabling informed decision-making Engage confidently in deep technical design and review discussions with peers Operate effectively within a strong technical assurance and review culture Collaborate with internal teams and selected external partners working at the leading edge of AI What we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating on ML solutions Experience working with real-world, imperfect data from operational systems Strong software engineering practices, including readable, maintainable, and well-tested code Experience integrating ML components into broader production systems Clear understanding of data ethics, privacy, and responsible use of data Strong communication skills across technical and non-technical audiences Proven ability to lead work independently and take ownership of outcomes Technologies you'll encounter The environment evolves, but typical tools include: Python for experimentation, modelling, and evaluation Weights & Biases (or equivalent) for experiment tracking AWS , including services such as SageMaker and Bedrock Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools . Adaptability and outcome focus matter more than platform allegiance. Desirable experience Working in secure, safety-critical, or heavily regulated environments Background in sectors such as energy, oil & gas, defence, or public sector Experience within formal technical assurance or governance processes Collaboration with external suppliers, partners, or research organisations Comfort operating at pace where quality, safety, and compliance are non-negotiable If you enjoy solving complex problems, applying scientific thinking to messy reality, and delivering ML that stands up to scrutiny, this role offers both challenge and meaning. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Lead Platform Engineer Building the platforms that make AI and machine learning work in production We're looking for a Lead Platform Engineer to join a growing engineering organisation and play a pivotal role in designing, building, and operating an MLOps platform that enables AI and data science teams to deliver reliably in production. This is a senior, hands-on technical leadership role , not a people-management position. You'll lead through technical depth, judgement, and delivery , building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale . The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability on top of Kubernetes to create a platform that is usable, supportable, and trusted in live environments. What you'll be doing You'll act as a technical leader across platform engineering, DevOps, and MLOps, remaining deeply involved in implementation. You will: Provide technical leadership across platform, DevOps, and MLOps activities Design, build, and operate a Kubernetes-based MLOps platform supporting the full model life cycle ImplementandrunMLOps tooling that enables teams to: Experiment with models and notebooks Package, version, and deploy models Run scalable inference and LLM-based workloads Build and operate model serving and inference platforms within Kubernetes environments Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows Own platform operability, reliability, security, and supportability in production Troubleshoot complex issues across Kubernetes, platform services, and MLOps layers Contribute to architectural decisions while staying hands-on with delivery Apply pragmatic engineering judgement in environments where AI workloads place real operational demands on infrastructure What we're looking for This role suits someone who is fundamentally a strong platform engineer , with the depth to apply those skills confidently to MLOps. Essential experience: Strong background as a Senior or Lead Platform Engineer/DevOps Engineer Deep, hands-on experience building and operating Kubernetes-based platforms Strong practical experience with Helm and Infrastructure as Code (eg Terraform) Proven experience extending Kubernetes with higher-level platforms and services , not treating it as the finished product Strong understanding of operational fundamentals: monitoring, logging, incident response, reliability, and maintenance Comfortable working directly with engineers and data scientists to support real production workloads MLOps experience (key to the role) You'll work deeply "in the weeds" of MLOps platforms, enabling ML and LLM workloads (not model research). Experience in areas such as: Building or operating MLOps platforms using tools like Kubeflow or similar frameworks Running model serving and inference platforms (eg KServe, vLLM, or equivalent) Supporting LLM-based workloads , including optimisation and serving considerations Providing notebook-based environments such as JupyterHub in secure platforms Exposure to emerging tooling such as InstructLab , Trustworthy/Responsible AI tooling, or comparable solutions Desirable experience Building internal platforms specifically for data science and ML teams Operating AI-enabled or data-driven systems in production Experience in regulated, security-conscious, or high-assurance environments Designing platforms that balance user flexibility with governance and control If you believe Kubernetes is the base, not the product , enjoy operating close to the metal, and like solving hard platform problems that enable others to succeed, this role offers real challenge and impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
May 15, 2026
Contractor
Lead Platform Engineer Building the platforms that make AI and machine learning work in production We're looking for a Lead Platform Engineer to join a growing engineering organisation and play a pivotal role in designing, building, and operating an MLOps platform that enables AI and data science teams to deliver reliably in production. This is a senior, hands-on technical leadership role , not a people-management position. You'll lead through technical depth, judgement, and delivery , building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale . The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability on top of Kubernetes to create a platform that is usable, supportable, and trusted in live environments. What you'll be doing You'll act as a technical leader across platform engineering, DevOps, and MLOps, remaining deeply involved in implementation. You will: Provide technical leadership across platform, DevOps, and MLOps activities Design, build, and operate a Kubernetes-based MLOps platform supporting the full model life cycle ImplementandrunMLOps tooling that enables teams to: Experiment with models and notebooks Package, version, and deploy models Run scalable inference and LLM-based workloads Build and operate model serving and inference platforms within Kubernetes environments Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows Own platform operability, reliability, security, and supportability in production Troubleshoot complex issues across Kubernetes, platform services, and MLOps layers Contribute to architectural decisions while staying hands-on with delivery Apply pragmatic engineering judgement in environments where AI workloads place real operational demands on infrastructure What we're looking for This role suits someone who is fundamentally a strong platform engineer , with the depth to apply those skills confidently to MLOps. Essential experience: Strong background as a Senior or Lead Platform Engineer/DevOps Engineer Deep, hands-on experience building and operating Kubernetes-based platforms Strong practical experience with Helm and Infrastructure as Code (eg Terraform) Proven experience extending Kubernetes with higher-level platforms and services , not treating it as the finished product Strong understanding of operational fundamentals: monitoring, logging, incident response, reliability, and maintenance Comfortable working directly with engineers and data scientists to support real production workloads MLOps experience (key to the role) You'll work deeply "in the weeds" of MLOps platforms, enabling ML and LLM workloads (not model research). Experience in areas such as: Building or operating MLOps platforms using tools like Kubeflow or similar frameworks Running model serving and inference platforms (eg KServe, vLLM, or equivalent) Supporting LLM-based workloads , including optimisation and serving considerations Providing notebook-based environments such as JupyterHub in secure platforms Exposure to emerging tooling such as InstructLab , Trustworthy/Responsible AI tooling, or comparable solutions Desirable experience Building internal platforms specifically for data science and ML teams Operating AI-enabled or data-driven systems in production Experience in regulated, security-conscious, or high-assurance environments Designing platforms that balance user flexibility with governance and control If you believe Kubernetes is the base, not the product , enjoy operating close to the metal, and like solving hard platform problems that enable others to succeed, this role offers real challenge and impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Materials Testing Technician - Field Based Destructive Materials Testing Systems - South West England Bristol, Gloucester, Swindon, Bath £30,000 - £40,000 Basic Salary + Vehicle + Benefits + Bonus Do you have knowledge of materials testing in a lab and looking to get into a field service role? Perhaps you've wondered how the testing rigs function and have been a bit envious of the service engineers? Read on for the opportunity to join this organisation; a prestigious, respected company. A place where you can grow and develop. Your Role as a Materials Testing Technician: You'll be field based, predominantly covering a region but with further UK travel as needed. You will be responsible for the service, maintenance, and repair of this testing equipment and instrumentation. Examples include impact, tensile, universal, fatigue, stress, or torsion testing. You will be working within a variety of appealing manufacturing sectors including the aerospace, automotive, and medical industries, amongst others. You will play an important role in ensuring the equipment is correctly calibrated and maintained to UKAS standards. Compile detailed reports as appropriate. The field-based nature of the role will require nights away from home; on average of 1 - 2 per week. Ideal Background for the Materials Testing Technician: Knowledge of destructive Materials Testing equipment is essential, specifically on impact, tensile, universal, fatigue, stress, or torsion testing is mandatory. Approachable, honest, and a team player. A strong understanding of ISO/IEC 17025 would be beneficial. A genuine interest in becoming a field-based service and calibration engineer on materials testing rigs. Strong IT and communication skills. Hold a full valid UK driving licence and have right to work in the UK as sponsorship can't be provided. The Client recruiting for the Materials Testing Technician: Fastest growing company in their industry. Excellent training, support, and ongoing opportunities. Work with a varied client base in Research, Automotive, Aerospace, General Manufacturing, and Rail sectors. "Recruit for attitude, train for skill" Trusted by testing laboratories, scientists, and engineers nationally. The Package for the Materials Testing Technician: £30,000 - £40,000 basic salary, depending on experience Annual company performance related bonus Pension at 5% from company, 3% employee Company van, tools, laptop & phone Continuous development and training 25 days holiday plus statutory holidays. Apply online now if you fit the above criteria and are eager to grow. Dave is the main point of contact for this role. INDENG
May 15, 2026
Full time
Materials Testing Technician - Field Based Destructive Materials Testing Systems - South West England Bristol, Gloucester, Swindon, Bath £30,000 - £40,000 Basic Salary + Vehicle + Benefits + Bonus Do you have knowledge of materials testing in a lab and looking to get into a field service role? Perhaps you've wondered how the testing rigs function and have been a bit envious of the service engineers? Read on for the opportunity to join this organisation; a prestigious, respected company. A place where you can grow and develop. Your Role as a Materials Testing Technician: You'll be field based, predominantly covering a region but with further UK travel as needed. You will be responsible for the service, maintenance, and repair of this testing equipment and instrumentation. Examples include impact, tensile, universal, fatigue, stress, or torsion testing. You will be working within a variety of appealing manufacturing sectors including the aerospace, automotive, and medical industries, amongst others. You will play an important role in ensuring the equipment is correctly calibrated and maintained to UKAS standards. Compile detailed reports as appropriate. The field-based nature of the role will require nights away from home; on average of 1 - 2 per week. Ideal Background for the Materials Testing Technician: Knowledge of destructive Materials Testing equipment is essential, specifically on impact, tensile, universal, fatigue, stress, or torsion testing is mandatory. Approachable, honest, and a team player. A strong understanding of ISO/IEC 17025 would be beneficial. A genuine interest in becoming a field-based service and calibration engineer on materials testing rigs. Strong IT and communication skills. Hold a full valid UK driving licence and have right to work in the UK as sponsorship can't be provided. The Client recruiting for the Materials Testing Technician: Fastest growing company in their industry. Excellent training, support, and ongoing opportunities. Work with a varied client base in Research, Automotive, Aerospace, General Manufacturing, and Rail sectors. "Recruit for attitude, train for skill" Trusted by testing laboratories, scientists, and engineers nationally. The Package for the Materials Testing Technician: £30,000 - £40,000 basic salary, depending on experience Annual company performance related bonus Pension at 5% from company, 3% employee Company van, tools, laptop & phone Continuous development and training 25 days holiday plus statutory holidays. Apply online now if you fit the above criteria and are eager to grow. Dave is the main point of contact for this role. INDENG
This is an exciting opportunity for a GMP Scientist, with Chemistry focus. The role involves working within a regulated environment to support the development and production of high-quality chemical products. Client Details Our client is a mid sized CRO, and this role will be within their GMP Production facility. Description Conduct chemical analysis and synthesis in a GMP-compliant laboratory environment. Prepare and review technical documentation, including batch records and standard operating procedures. Support the development and optimisation of chemical processes. Ensure compliance with regulatory requirements and quality standards. Collaborate with cross-functional teams to meet project timelines and objectives. Perform troubleshooting and problem-solving related to laboratory processes. Maintain laboratory equipment and ensure a safe working environment. Contribute to the continuous improvement of operational practices. Profile A successful GMP Scientist should have: A degree in chemistry, biochemistry, or a related field. Experience working within a GMP-regulated environment. Strong knowledge of chemical analysis and synthesis techniques. Attention to detail and commitment to producing high-quality work. Excellent organisational and documentation skills. Ability to work effectively in a team-oriented environment. A proactive approach to problem-solving and process improvement. Job Offer Competitive salary Progression Opportunities No sponsorship available for this role
May 15, 2026
Full time
This is an exciting opportunity for a GMP Scientist, with Chemistry focus. The role involves working within a regulated environment to support the development and production of high-quality chemical products. Client Details Our client is a mid sized CRO, and this role will be within their GMP Production facility. Description Conduct chemical analysis and synthesis in a GMP-compliant laboratory environment. Prepare and review technical documentation, including batch records and standard operating procedures. Support the development and optimisation of chemical processes. Ensure compliance with regulatory requirements and quality standards. Collaborate with cross-functional teams to meet project timelines and objectives. Perform troubleshooting and problem-solving related to laboratory processes. Maintain laboratory equipment and ensure a safe working environment. Contribute to the continuous improvement of operational practices. Profile A successful GMP Scientist should have: A degree in chemistry, biochemistry, or a related field. Experience working within a GMP-regulated environment. Strong knowledge of chemical analysis and synthesis techniques. Attention to detail and commitment to producing high-quality work. Excellent organisational and documentation skills. Ability to work effectively in a team-oriented environment. A proactive approach to problem-solving and process improvement. Job Offer Competitive salary Progression Opportunities No sponsorship available for this role
Are you an experienced Scientist with a strong background in filtration, laboratory testing or regulated environments such as pharmaceutical or life sciences? Do you enjoy being the go-to technical expert supporting customers, developing new products and solving complex problems? Were supporting a specialist engineering and manufacturing business in New Milton who are looking to recruit a Senior Sci click apply for full job details
May 15, 2026
Full time
Are you an experienced Scientist with a strong background in filtration, laboratory testing or regulated environments such as pharmaceutical or life sciences? Do you enjoy being the go-to technical expert supporting customers, developing new products and solving complex problems? Were supporting a specialist engineering and manufacturing business in New Milton who are looking to recruit a Senior Sci click apply for full job details
