Working Environment You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively. Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science community. What You'll Be Doing - Contribute to the design, analysis and build of data science solutions addressing real business and operational problems - Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making - Write and maintain Python code to support data preparation, analysis and modelling - Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models - Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle - Collaborate with more senior data scientists, learning through shared delivery - Communicate findings clearly to both technical and non-technical audiences - Contribute to shared documentation, standards and continuous improvement across the profession Your Experience To be successful in this role, you will bring: - Around 2-3 years' experience working as a Data Scientist or in a closely related analytical role - Strong Python skills, with experience contributing to shared codebases - A solid grounding in statistics, applied mathematics and scientific analysis techniques - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical use - Awareness of ethical considerations and responsible data practices - Willingness to learn, accept feedback and engage constructively with challenge In Return You'll join a supportive, high-quality data science profession where learning is embedded in day-to-day delivery. This is an opportunity to build confidence, expand your technical portfolio and contribute to meaningful work, while being supported to grow in capability and responsibility over time. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy. Additional Application Instructions Apply online
Jul 08, 2026
Contractor
Working Environment You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively. Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science community. What You'll Be Doing - Contribute to the design, analysis and build of data science solutions addressing real business and operational problems - Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making - Write and maintain Python code to support data preparation, analysis and modelling - Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models - Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle - Collaborate with more senior data scientists, learning through shared delivery - Communicate findings clearly to both technical and non-technical audiences - Contribute to shared documentation, standards and continuous improvement across the profession Your Experience To be successful in this role, you will bring: - Around 2-3 years' experience working as a Data Scientist or in a closely related analytical role - Strong Python skills, with experience contributing to shared codebases - A solid grounding in statistics, applied mathematics and scientific analysis techniques - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical use - Awareness of ethical considerations and responsible data practices - Willingness to learn, accept feedback and engage constructively with challenge In Return You'll join a supportive, high-quality data science profession where learning is embedded in day-to-day delivery. This is an opportunity to build confidence, expand your technical portfolio and contribute to meaningful work, while being supported to grow in capability and responsibility over time. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy. Additional Application Instructions Apply online
Working Environment You will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. What You'll Be Doing - Design, build and deploy applied AI and data science solutions that deliver measurable impact - Own projects end-to-end, including problem definition, technical delivery and stakeholder engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services - Consider performance, scalability and resilience when deploying AI into operational systems - Influence technical direction through evidence, communication and delivery results - Share knowledge and support learning across the wider data science community Your Experience To be successful in this role, you will bring: - Strong, demonstrable experience as an Applied AI Scientist, Data Scientist or similar hands-on technical role - Excellent Python skills, with the ability to write clean, efficient, production-quality code - Experience developing and deploying AI solutions outside of fully managed cloud services - Solid understanding of modern AI and machine learning techniques - Experience working with imperfect, real-world data and operational constraints - Confidence owning work end-to-end and managing your own delivery - The ability to influence technical decisions without formal authority In Return You'll join an experienced and collaborative team working on meaningful, production-focused AI problems rather than isolated experimentation. This is an opportunity to apply your skills where judgement, pragmatism and technical quality genuinely matter, and to grow your influence through delivery rather than management responsibility. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy. Additional Application Instructions Apply online
Jul 08, 2026
Contractor
Working Environment You will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. What You'll Be Doing - Design, build and deploy applied AI and data science solutions that deliver measurable impact - Own projects end-to-end, including problem definition, technical delivery and stakeholder engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services - Consider performance, scalability and resilience when deploying AI into operational systems - Influence technical direction through evidence, communication and delivery results - Share knowledge and support learning across the wider data science community Your Experience To be successful in this role, you will bring: - Strong, demonstrable experience as an Applied AI Scientist, Data Scientist or similar hands-on technical role - Excellent Python skills, with the ability to write clean, efficient, production-quality code - Experience developing and deploying AI solutions outside of fully managed cloud services - Solid understanding of modern AI and machine learning techniques - Experience working with imperfect, real-world data and operational constraints - Confidence owning work end-to-end and managing your own delivery - The ability to influence technical decisions without formal authority In Return You'll join an experienced and collaborative team working on meaningful, production-focused AI problems rather than isolated experimentation. This is an opportunity to apply your skills where judgement, pragmatism and technical quality genuinely matter, and to grow your influence through delivery rather than management responsibility. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy. Additional Application Instructions Apply online
Senior Laboratory Engineer London Competitive Salary Our client is an ambitious start-up looking to utilise AI within the field of Materials Science to help advance cutting-edge technology in this area. This is a one-of-a-kind opportunity to join their small dynamic team in the early stages as they set-up and develop their research laboratory in London. You'll work closely with material scientists, computational and AI teams, ensuring that experimental throughput and data quality can keep pace with requirements. This is a hands-on, senior role with real ownership. You will be joining a small, highly ambitious team of world-renowned engineers, AI researchers, and materials scientists. We move fast and value people who are energised by that. Key areas: Own lab throughput and operational reliability across synthesis, sample preparation, characterisation and data capture workflows; identify bottlenecks, reduce downtime, improve instrument utilisation, and increase the number of high-quality experiments the lab can run per week. Develop and maintain preventive maintenance schedules, SOPs, and risk assessments for all equipment. Diagnose and resolve complex equipment failures (vacuum leaks, electronic faults, mechanical misalignment), minimising downtime. Design and run synthesis and characterisation experiments in collaboration with materials scientists, ensuring reproducibility and data integrity. Onboard and mentor junior lab staff on instrument operation, maintenance practices, and safety. Evaluate, procure, and commission new equipment and consumables as our lab capabilities expand. Liaise with vendors and service engineers on repairs, calibrations, and upgrades. Support the integration of experimental outputs into automated data pipelines feeding the AI platform. Support the automation of lab equipment to ensure experimental throughput and data quality can keep pace with requirements. Candidate: Relevant educational background in materials science, physics, engineering or related. Substantial hands-on experience maintaining and troubleshooting research-grade laboratory equipment in a professional setting. Experience improving throughput, uptime, turnaround time or reliability in an instrument heavy lab, pilot line, semiconductor fab, analytical testing facility, manufacturing environment or similar setting. Practical expertise across our instrument suite or a closely related set: High-vacuum equipment. Scanning electron microscopy (SEM). Optical characterisation. X-ray diffraction (XRD). High-field magnets. High-temperature metallurgical synthesis. Strong vacuum systems knowledge: pump maintenance, leak detection, RGA, bakeout procedures. Ability to perform component-level diagnostics and repairs, vacuum, electronic, and mechanical, without waiting for factory service representatives. Familiarity with ionising radiation safety regulations and relevant local licensing requirements. Rigorous approach to documentation: SOPs, maintenance logs and data provenance. Some CAD experience for fixture design and lab modifications. Nice to Have! Experience integrating instruments with automated data capture or laboratory management systems. Python or scripting experience for instrument control, automation or data processing.
Jul 08, 2026
Full time
Senior Laboratory Engineer London Competitive Salary Our client is an ambitious start-up looking to utilise AI within the field of Materials Science to help advance cutting-edge technology in this area. This is a one-of-a-kind opportunity to join their small dynamic team in the early stages as they set-up and develop their research laboratory in London. You'll work closely with material scientists, computational and AI teams, ensuring that experimental throughput and data quality can keep pace with requirements. This is a hands-on, senior role with real ownership. You will be joining a small, highly ambitious team of world-renowned engineers, AI researchers, and materials scientists. We move fast and value people who are energised by that. Key areas: Own lab throughput and operational reliability across synthesis, sample preparation, characterisation and data capture workflows; identify bottlenecks, reduce downtime, improve instrument utilisation, and increase the number of high-quality experiments the lab can run per week. Develop and maintain preventive maintenance schedules, SOPs, and risk assessments for all equipment. Diagnose and resolve complex equipment failures (vacuum leaks, electronic faults, mechanical misalignment), minimising downtime. Design and run synthesis and characterisation experiments in collaboration with materials scientists, ensuring reproducibility and data integrity. Onboard and mentor junior lab staff on instrument operation, maintenance practices, and safety. Evaluate, procure, and commission new equipment and consumables as our lab capabilities expand. Liaise with vendors and service engineers on repairs, calibrations, and upgrades. Support the integration of experimental outputs into automated data pipelines feeding the AI platform. Support the automation of lab equipment to ensure experimental throughput and data quality can keep pace with requirements. Candidate: Relevant educational background in materials science, physics, engineering or related. Substantial hands-on experience maintaining and troubleshooting research-grade laboratory equipment in a professional setting. Experience improving throughput, uptime, turnaround time or reliability in an instrument heavy lab, pilot line, semiconductor fab, analytical testing facility, manufacturing environment or similar setting. Practical expertise across our instrument suite or a closely related set: High-vacuum equipment. Scanning electron microscopy (SEM). Optical characterisation. X-ray diffraction (XRD). High-field magnets. High-temperature metallurgical synthesis. Strong vacuum systems knowledge: pump maintenance, leak detection, RGA, bakeout procedures. Ability to perform component-level diagnostics and repairs, vacuum, electronic, and mechanical, without waiting for factory service representatives. Familiarity with ionising radiation safety regulations and relevant local licensing requirements. Rigorous approach to documentation: SOPs, maintenance logs and data provenance. Some CAD experience for fixture design and lab modifications. Nice to Have! Experience integrating instruments with automated data capture or laboratory management systems. Python or scripting experience for instrument control, automation or data processing.
Working Environment You'll operate in production-focused environments where platform usability and operational excellence matter. The work sits at the intersection of platform engineering, DevOps and MLOps, with close collaboration across data science, ML engineering, software engineering and architecture. The role requires comfort working 'in the weeds' - understanding how platforms behave under real workloads, and designing guardrails that balance flexibility for users with reliability, security and governance. What You'll Be Doing - Provide technical leadership across platform engineering, DevOps, and MLOps activities - Design, build, and operate a Kubernetes-based MLOps platform that supports the full model lifecycle - Implement and operate MLOps tooling and frameworks enabling teams to build, train, deploy, and serve models - Develop and support model serving and inference capabilities within Kubernetes environments - Implement workflows that support model experimentation (including notebooks), packaging, deployment and versioning - Enable scalable inference and LLM-based workloads, including serving and optimisation considerations - Work with data scientists and ML engineers to ensure the platform is usable, well documented and fit for purpose - Own platform operability, reliability, security and supportability in live production environments - Troubleshoot complex platform, workload and deployment issues across Kubernetes and MLOps layers - Contribute to architectural decisions while remaining deeply hands-on in delivery Your Experience To be successful in this role, you will bring: - Strong experience as a Senior or Lead Platform Engineer / DevOps Engineer - Deep hands-on experience building and operating Kubernetes-based platforms - Strong practical experience using Helm and infrastructure-as-code tools such as Terraform - Proven experience extending Kubernetes with higher-level platforms and services, rather than treating it as an end in itself - Strong understanding of operational concerns: monitoring, logging, incident response, reliability and maintenance - Confidence working directly with engineers and data scientists to support real workloads in production MLOps experience is highly desirable, including exposure to tools and patterns such as: - Building MLOps platforms using frameworks such as Kubeflow (or comparable approaches) - Operating model serving and inference platforms (e.g. KServe, vLLM, or comparable solutions) - Supporting LLM-based workloads, including optimisation and serving considerations - Providing notebook-based development environments (e.g. JupyterHub) within secure platforms - Exposure to emerging tooling such as InstructLab, trustworthy AI tooling, or equivalent approaches In Return You'll play a key role in enabling AI delivery at scale by building platforms that other engineers and data scientists actually want to use. This is an opportunity to lead technically, shape a practical MLOps platform, and own operational outcomes in production environments where reliability and usability matter. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy. Additional Application Instructions Apply online
Jul 08, 2026
Contractor
Working Environment You'll operate in production-focused environments where platform usability and operational excellence matter. The work sits at the intersection of platform engineering, DevOps and MLOps, with close collaboration across data science, ML engineering, software engineering and architecture. The role requires comfort working 'in the weeds' - understanding how platforms behave under real workloads, and designing guardrails that balance flexibility for users with reliability, security and governance. What You'll Be Doing - Provide technical leadership across platform engineering, DevOps, and MLOps activities - Design, build, and operate a Kubernetes-based MLOps platform that supports the full model lifecycle - Implement and operate MLOps tooling and frameworks enabling teams to build, train, deploy, and serve models - Develop and support model serving and inference capabilities within Kubernetes environments - Implement workflows that support model experimentation (including notebooks), packaging, deployment and versioning - Enable scalable inference and LLM-based workloads, including serving and optimisation considerations - Work with data scientists and ML engineers to ensure the platform is usable, well documented and fit for purpose - Own platform operability, reliability, security and supportability in live production environments - Troubleshoot complex platform, workload and deployment issues across Kubernetes and MLOps layers - Contribute to architectural decisions while remaining deeply hands-on in delivery Your Experience To be successful in this role, you will bring: - Strong experience as a Senior or Lead Platform Engineer / DevOps Engineer - Deep hands-on experience building and operating Kubernetes-based platforms - Strong practical experience using Helm and infrastructure-as-code tools such as Terraform - Proven experience extending Kubernetes with higher-level platforms and services, rather than treating it as an end in itself - Strong understanding of operational concerns: monitoring, logging, incident response, reliability and maintenance - Confidence working directly with engineers and data scientists to support real workloads in production MLOps experience is highly desirable, including exposure to tools and patterns such as: - Building MLOps platforms using frameworks such as Kubeflow (or comparable approaches) - Operating model serving and inference platforms (e.g. KServe, vLLM, or comparable solutions) - Supporting LLM-based workloads, including optimisation and serving considerations - Providing notebook-based development environments (e.g. JupyterHub) within secure platforms - Exposure to emerging tooling such as InstructLab, trustworthy AI tooling, or equivalent approaches In Return You'll play a key role in enabling AI delivery at scale by building platforms that other engineers and data scientists actually want to use. This is an opportunity to lead technically, shape a practical MLOps platform, and own operational outcomes in production environments where reliability and usability matter. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy. Additional Application Instructions Apply online
Powered by Water, Driven by Purpose At Bristol Water, we've been serving generations of families since 1846. Ensuring people in our communities have access to healthy water is paramount, which is why we work around the clock testing our water hundreds of times a day. We're proud to be part of Pennon Group, a leader in the UK water sector, working towards a greener future. Our goals? As well as lowering our carbon footprint, we're working with partners to plant 300,000 trees, restore peatlands and supporting farmers and landowners to improve water quality and wildlife. Whether you're starting out or seeking a new challenge, our scale and ambition create opportunities for you to shape your own career. Ready to make a splash? Join our team today. Job Role We are seeking a highly motivated Water Quality Scientist to join our dedicated Water Quality team. This is a rare and exciting opportunity to play a key role in protecting public health by ensuring the safety and quality of drinking water from source to tap. You will combine scientific expertise, analytical thinking, and operational insight to monitor, investigate, and continuously improve water quality across the supply system. Key Responsibilities Water Quality Assurance & Compliance Safeguard water quality from source through treatment and distribution to customer taps Ensure compliance with drinking water quality standards and relevant UK legislation Monitor water quality through laboratory data, telemetry systems, and operational feedback Investigation & Problem Solving Analyse sample results to identify trends, risks, or failures Lead investigations into water quality incidents at treatment works and within the network Identify root causes and implement corrective actions to protect public health Operational & Technical Support Provide scientific expertise to operational, asset management, and project teams Support design, construction, and commissioning of water-related projects Advise on process optimisation and operational improvements Customer & Stakeholder Engagement Respond to and resolve customer enquiries relating to water quality Act as a key contact for regulatory bodies (e.g., Drinking Water Inspectorate, UK Health Security Agency, Environmental Health) Communicate complex scientific information clearly to both technical and non-technical audiences Continuous Improvement & Community Engagement Contribute to water quality improvement programmes and risk reduction initiatives Support community education and awareness on water quality matters Identify and promote innovative solutions to improve operational performance Standby & Emergency Response Participate in the Water Quality Duty Scientist standby rota (24/7 operational support) Skills & Experience Required Essential Degree (or equivalent) in a relevant discipline (e.g., Water Science, Environmental Science, Chemistry, Engineering) Strong understanding of: Water treatment processes Water distribution systems Drinking water standards and regulatory frameworks in the UK (Water Supply (Water Quality) Regulations) Analytical ability to interpret complex data and perform scientific calculations Strong verbal communication and stakeholder engagement skills Proficiency in IT systems (particularly Microsoft Word and Excel) Full UK Driving Licence Desirable Knowledge of: Water Supply (Water Fittings) Regulations UK water industry regulatory environment Experience working within water treatment or similar industrial processes Personal Attributes Analytical and detail-oriented with a problem-solving mindset Strong team player with the ability to influence and collaborate across functions Able to manage multiple priorities and meet deadlines Confident communicating technical information to diverse audiences Comfortable working in operational environments, including: Working at height Confined spaces Closing Date: 17th July 2026 We may close this vacancy early if we receive a high volume of applications. We encourage you to apply as soon as possible. Please note that the successful candidate will be subject to a mandatory DBS check as part of the onboarding process. Be yourself, we like it that way. Together, we will build a culture of belonging, where inclusion is instinctive. Diversity is our strength and a reflection of our communities. We care, we value everyone, we celebrate uniqueness. Our core values, which are essential to our success, are: Be Rock Solid - Build trust and be trusted. Be the one we all look to and can depend on. Be You - We want you to bring your best everyday. Be yourself and make your mark in your individual way. Be the Future - Embrace change. Drive Progress. Own the challenge.
Jul 08, 2026
Full time
Powered by Water, Driven by Purpose At Bristol Water, we've been serving generations of families since 1846. Ensuring people in our communities have access to healthy water is paramount, which is why we work around the clock testing our water hundreds of times a day. We're proud to be part of Pennon Group, a leader in the UK water sector, working towards a greener future. Our goals? As well as lowering our carbon footprint, we're working with partners to plant 300,000 trees, restore peatlands and supporting farmers and landowners to improve water quality and wildlife. Whether you're starting out or seeking a new challenge, our scale and ambition create opportunities for you to shape your own career. Ready to make a splash? Join our team today. Job Role We are seeking a highly motivated Water Quality Scientist to join our dedicated Water Quality team. This is a rare and exciting opportunity to play a key role in protecting public health by ensuring the safety and quality of drinking water from source to tap. You will combine scientific expertise, analytical thinking, and operational insight to monitor, investigate, and continuously improve water quality across the supply system. Key Responsibilities Water Quality Assurance & Compliance Safeguard water quality from source through treatment and distribution to customer taps Ensure compliance with drinking water quality standards and relevant UK legislation Monitor water quality through laboratory data, telemetry systems, and operational feedback Investigation & Problem Solving Analyse sample results to identify trends, risks, or failures Lead investigations into water quality incidents at treatment works and within the network Identify root causes and implement corrective actions to protect public health Operational & Technical Support Provide scientific expertise to operational, asset management, and project teams Support design, construction, and commissioning of water-related projects Advise on process optimisation and operational improvements Customer & Stakeholder Engagement Respond to and resolve customer enquiries relating to water quality Act as a key contact for regulatory bodies (e.g., Drinking Water Inspectorate, UK Health Security Agency, Environmental Health) Communicate complex scientific information clearly to both technical and non-technical audiences Continuous Improvement & Community Engagement Contribute to water quality improvement programmes and risk reduction initiatives Support community education and awareness on water quality matters Identify and promote innovative solutions to improve operational performance Standby & Emergency Response Participate in the Water Quality Duty Scientist standby rota (24/7 operational support) Skills & Experience Required Essential Degree (or equivalent) in a relevant discipline (e.g., Water Science, Environmental Science, Chemistry, Engineering) Strong understanding of: Water treatment processes Water distribution systems Drinking water standards and regulatory frameworks in the UK (Water Supply (Water Quality) Regulations) Analytical ability to interpret complex data and perform scientific calculations Strong verbal communication and stakeholder engagement skills Proficiency in IT systems (particularly Microsoft Word and Excel) Full UK Driving Licence Desirable Knowledge of: Water Supply (Water Fittings) Regulations UK water industry regulatory environment Experience working within water treatment or similar industrial processes Personal Attributes Analytical and detail-oriented with a problem-solving mindset Strong team player with the ability to influence and collaborate across functions Able to manage multiple priorities and meet deadlines Confident communicating technical information to diverse audiences Comfortable working in operational environments, including: Working at height Confined spaces Closing Date: 17th July 2026 We may close this vacancy early if we receive a high volume of applications. We encourage you to apply as soon as possible. Please note that the successful candidate will be subject to a mandatory DBS check as part of the onboarding process. Be yourself, we like it that way. Together, we will build a culture of belonging, where inclusion is instinctive. Diversity is our strength and a reflection of our communities. We care, we value everyone, we celebrate uniqueness. Our core values, which are essential to our success, are: Be Rock Solid - Build trust and be trusted. Be the one we all look to and can depend on. Be You - We want you to bring your best everyday. Be yourself and make your mark in your individual way. Be the Future - Embrace change. Drive Progress. Own the challenge.
Some roles keep systems running. Others help power discoveries that can genuinely change lives. We're working with one of Europe's leading biomedical research institutes to find a Lead HPC Engineer who wants to play a key role in supporting world-class science. Behind every breakthrough is an enormous amount of data, compute power and technical expertise, and that's where this team comes in. This is a chance to take ownership of a sophisticated HPC and storage environment that sits at the heart of a hugely ambitious research programme. You'll work closely with scientists, researchers and technology teams to ensure critical platforms remain reliable, scalable and ready for whatever comes next. It's a role with plenty of variety. One day you might be helping shape the future direction of the HPC environment, the next you're guiding the team through a complex technical challenge, improving services for users, or working directly with researchers to understand what's needed to support the next phase of their work. Alongside the technical side, you'll also play an important leadership role. You'll help drive best practice, support colleagues, oversee operational delivery and act as a key point of contact across the organisation. This isn't simply about keeping the lights on; it's about helping build and evolve services that enable exceptional research. We're looking for someone with experience working in HPC environments and large-scale infrastructure who enjoys solving problems, working with people and taking ownership. You'll be technically strong, comfortable navigating competing priorities and able to communicate effectively with both technical and non-technical audiences. Experience within research, higher education or scientific environments would be beneficial, but it isn't essential. Curiosity, collaboration and a genuine interest in supporting meaningful work are just as important. In return, you'll join an organisation known not only for its scientific impact, but also for its culture. It's a place filled with intelligent, passionate and approachable people who care deeply about what they do. You'll have the opportunity to work with cutting-edge technologies, contribute to research with real-world impact and help shape services that are central to the organisation's success. If you're looking for a role where technical excellence, purpose and influence come together, we'd love to tell you more.
Jul 08, 2026
Contractor
Some roles keep systems running. Others help power discoveries that can genuinely change lives. We're working with one of Europe's leading biomedical research institutes to find a Lead HPC Engineer who wants to play a key role in supporting world-class science. Behind every breakthrough is an enormous amount of data, compute power and technical expertise, and that's where this team comes in. This is a chance to take ownership of a sophisticated HPC and storage environment that sits at the heart of a hugely ambitious research programme. You'll work closely with scientists, researchers and technology teams to ensure critical platforms remain reliable, scalable and ready for whatever comes next. It's a role with plenty of variety. One day you might be helping shape the future direction of the HPC environment, the next you're guiding the team through a complex technical challenge, improving services for users, or working directly with researchers to understand what's needed to support the next phase of their work. Alongside the technical side, you'll also play an important leadership role. You'll help drive best practice, support colleagues, oversee operational delivery and act as a key point of contact across the organisation. This isn't simply about keeping the lights on; it's about helping build and evolve services that enable exceptional research. We're looking for someone with experience working in HPC environments and large-scale infrastructure who enjoys solving problems, working with people and taking ownership. You'll be technically strong, comfortable navigating competing priorities and able to communicate effectively with both technical and non-technical audiences. Experience within research, higher education or scientific environments would be beneficial, but it isn't essential. Curiosity, collaboration and a genuine interest in supporting meaningful work are just as important. In return, you'll join an organisation known not only for its scientific impact, but also for its culture. It's a place filled with intelligent, passionate and approachable people who care deeply about what they do. You'll have the opportunity to work with cutting-edge technologies, contribute to research with real-world impact and help shape services that are central to the organisation's success. If you're looking for a role where technical excellence, purpose and influence come together, we'd love to tell you more.
This Brigg Scientific client is a medical device diagnostic company who are looking for a Development Scientist to work out of their site on The Wirral, Merseyside. Duties and personal qualities will include the following: Collaborating on scientific studies in support of product development / improvement Maintaining detailed ongoing project records Adherence to quality and operational protocols Knowledge of biochemistry instrumentation and techniques: including immunochenistry, microfluidics and electrochemistry Good PCR / molecular knowledge is essential for this role Data analysis / statistics Problem solving skills This is a permanent role commanding a salary in the range 26-28k + company benefits. Applications are welcomed from BSc qualified graduates in chemistry, microbiology, engineering or closely related subjects. Experience from a previous medical device role and ISO 13485 exposure would be a distinct advantage. This exciting and challenging role has a target start date of 27th July and full training will be provided for their specialised equipment. They operate across a wide range of technologies from initial concept to final operational environment.
Jul 08, 2026
Full time
This Brigg Scientific client is a medical device diagnostic company who are looking for a Development Scientist to work out of their site on The Wirral, Merseyside. Duties and personal qualities will include the following: Collaborating on scientific studies in support of product development / improvement Maintaining detailed ongoing project records Adherence to quality and operational protocols Knowledge of biochemistry instrumentation and techniques: including immunochenistry, microfluidics and electrochemistry Good PCR / molecular knowledge is essential for this role Data analysis / statistics Problem solving skills This is a permanent role commanding a salary in the range 26-28k + company benefits. Applications are welcomed from BSc qualified graduates in chemistry, microbiology, engineering or closely related subjects. Experience from a previous medical device role and ISO 13485 exposure would be a distinct advantage. This exciting and challenging role has a target start date of 27th July and full training will be provided for their specialised equipment. They operate across a wide range of technologies from initial concept to final operational environment.
Lead AI & Data Scientist London/ Hybrid up to 140k + Benefits Most data leadership roles sit at one end of the spectrum. Either highly technical, buried in models and architecture, or heavily stakeholder-focused with little involvement in the actual delivery. This role sits in the middle (or both). They need your skills in a client and stakeholder facing, upwards and downwards management and technical understanding. You'll lead a growing Data science function responsible for delivering real-world AI, machine learning and data science solutions across a complex professional services environment. The challenge is not simply building models. It's understanding business problems, translating them into practical solutions, and helping senior stakeholders understand exactly how technology can create value. The team is already delivering across machine learning, GenAI, document intelligence, search, retrieval, automation and knowledge management. The next phase involves expanding AI capability, shaping a longer-term roadmap around emerging technologies such as Agentic AI, and driving adoption across the wider business. Key responsibilities include: Leading a team of Data Scientists and AI specialists Defining Data & AI strategy and technical direction Designing and delivering Machine Learning, NLP, GenAI and RAG-based solutions Working directly with senior business stakeholders and clients Translating complex technical concepts into clear business language Driving delivery of AI products from concept through to production Establishing governance, evaluation frameworks and responsible AI controls Coaching and mentoring technical teams while remaining hands-on when required To be successful, you'll need a strong background in Data Science, Machine Learning and modern AI technologies, combined with the communication skills to operate confidently from technical workshops through to executive-level discussions. If you can articulate complex AI concepts in 30 seconds, influence stakeholders at every level, and lead a team focused on solving difficult business problems with data - please apply. An opportunity to help shape the future direction of AI within a business that is investing heavily in the technology, in a disruptive industry and determined to stay ahead of the curve.
Jul 08, 2026
Full time
Lead AI & Data Scientist London/ Hybrid up to 140k + Benefits Most data leadership roles sit at one end of the spectrum. Either highly technical, buried in models and architecture, or heavily stakeholder-focused with little involvement in the actual delivery. This role sits in the middle (or both). They need your skills in a client and stakeholder facing, upwards and downwards management and technical understanding. You'll lead a growing Data science function responsible for delivering real-world AI, machine learning and data science solutions across a complex professional services environment. The challenge is not simply building models. It's understanding business problems, translating them into practical solutions, and helping senior stakeholders understand exactly how technology can create value. The team is already delivering across machine learning, GenAI, document intelligence, search, retrieval, automation and knowledge management. The next phase involves expanding AI capability, shaping a longer-term roadmap around emerging technologies such as Agentic AI, and driving adoption across the wider business. Key responsibilities include: Leading a team of Data Scientists and AI specialists Defining Data & AI strategy and technical direction Designing and delivering Machine Learning, NLP, GenAI and RAG-based solutions Working directly with senior business stakeholders and clients Translating complex technical concepts into clear business language Driving delivery of AI products from concept through to production Establishing governance, evaluation frameworks and responsible AI controls Coaching and mentoring technical teams while remaining hands-on when required To be successful, you'll need a strong background in Data Science, Machine Learning and modern AI technologies, combined with the communication skills to operate confidently from technical workshops through to executive-level discussions. If you can articulate complex AI concepts in 30 seconds, influence stakeholders at every level, and lead a team focused on solving difficult business problems with data - please apply. An opportunity to help shape the future direction of AI within a business that is investing heavily in the technology, in a disruptive industry and determined to stay ahead of the curve.
THIS IS A HYBRID ROLE- The ASA is the UKs regulator of advertising across all media, including online. Our work includes taking proactive action against misleading, harmful, offensive or otherwise irresponsible ads and acting on complaints. In short, we make sure ads are legal, decent, honest and truthful click apply for full job details
Jul 08, 2026
Full time
THIS IS A HYBRID ROLE- The ASA is the UKs regulator of advertising across all media, including online. Our work includes taking proactive action against misleading, harmful, offensive or otherwise irresponsible ads and acting on complaints. In short, we make sure ads are legal, decent, honest and truthful click apply for full job details
Lead AI & Data Scientist London/ Hybrid up to £140k + Benefits Most data leadership roles sit at one end of the spectrum. Either highly technical, buried in models and architecture, or heavily stakeholder-focused with little involvement in the actual delivery. This role sits in the middle (or both) click apply for full job details
Jul 08, 2026
Full time
Lead AI & Data Scientist London/ Hybrid up to £140k + Benefits Most data leadership roles sit at one end of the spectrum. Either highly technical, buried in models and architecture, or heavily stakeholder-focused with little involvement in the actual delivery. This role sits in the middle (or both) click apply for full job details
Company: Astonish Location: Thornbury, Bradford (BD3) Salary: 28,000-30,000 per annum Role details: A great opportunity for a graduate scientist to join a growing consumer goods company has arisen. As a junior regulatory affairs administrator your role will be to support the Regulatory Manager by collecting, maintaining and processing accurate product, packaging and chemical data required to demonstra click apply for full job details
Jul 08, 2026
Full time
Company: Astonish Location: Thornbury, Bradford (BD3) Salary: 28,000-30,000 per annum Role details: A great opportunity for a graduate scientist to join a growing consumer goods company has arisen. As a junior regulatory affairs administrator your role will be to support the Regulatory Manager by collecting, maintaining and processing accurate product, packaging and chemical data required to demonstra click apply for full job details
Fermentation Scientist Oxford Onsite I 40K - 50k (dependant on experience) Join an innovative organisation at the forefront of industrial biotechnology, where you'll play a key role in developing and optimising microbial fermentation processes that support more sustainable chemical manufacturing. This is an excellent opportunity for an experienced Fermentation Scientist to apply hands-on expertise in bioreactor operation, process optimisation and enzyme production while working alongside a collaborative R&D team on cutting-edge technology. The Role As a Fermentation Scientist, you will be responsible for developing and improving non-GMP microbial fermentation processes for enzyme production. You'll work across laboratory and pilot-scale systems, helping to optimise yields, improve process robustness and support the scale-up of innovative biocatalysts for industrial applications. Key Responsibilities Develop and optimise microbial fermentation processes for enzyme production. Operate, monitor and troubleshoot bench- to pilot-scale bioreactors. Design and carry out fermentation optimisation studies, including media, feeding and induction strategies. Analyse experimental data and communicate findings with clear technical recommendations. Collaborate with multidisciplinary R&D teams to support project delivery. Maintain accurate laboratory records, SOPs and technical documentation. Support laboratory operations, equipment maintenance and inventory management. Assist with technology transfer to external manufacturing partners where required. About You We're looking for someone with: A degree in Biology, Industrial Biotechnology, Biochemical Engineering or a related scientific discipline. Proven industrial experience in non-GMP microbial fermentation. Hands-on experience operating and troubleshooting microbial bioreactors. Knowledge of fermentation optimisation to improve enzyme yield, productivity and process robustness. Strong analytical and problem-solving skills. Excellent communication skills and the ability to work collaboratively within a multidisciplinary team. A proactive approach with strong attention to detail and a passion for scientific innovation. Applications: If you're an experienced fermentation scientist looking to contribute to innovative biotechnology projects with real-world impact, we'd love to hear from you. Apply today with your CV to find out more about this exciting opportunity. Please note that all recruitment for HydRegen Oxford is being managed exclusively by Katie Pink at Cranleigh STEM & Sustainability. If you have any questions regarding this vacancy, please direct them only to Katie at Cranleigh STEM.
Jul 08, 2026
Full time
Fermentation Scientist Oxford Onsite I 40K - 50k (dependant on experience) Join an innovative organisation at the forefront of industrial biotechnology, where you'll play a key role in developing and optimising microbial fermentation processes that support more sustainable chemical manufacturing. This is an excellent opportunity for an experienced Fermentation Scientist to apply hands-on expertise in bioreactor operation, process optimisation and enzyme production while working alongside a collaborative R&D team on cutting-edge technology. The Role As a Fermentation Scientist, you will be responsible for developing and improving non-GMP microbial fermentation processes for enzyme production. You'll work across laboratory and pilot-scale systems, helping to optimise yields, improve process robustness and support the scale-up of innovative biocatalysts for industrial applications. Key Responsibilities Develop and optimise microbial fermentation processes for enzyme production. Operate, monitor and troubleshoot bench- to pilot-scale bioreactors. Design and carry out fermentation optimisation studies, including media, feeding and induction strategies. Analyse experimental data and communicate findings with clear technical recommendations. Collaborate with multidisciplinary R&D teams to support project delivery. Maintain accurate laboratory records, SOPs and technical documentation. Support laboratory operations, equipment maintenance and inventory management. Assist with technology transfer to external manufacturing partners where required. About You We're looking for someone with: A degree in Biology, Industrial Biotechnology, Biochemical Engineering or a related scientific discipline. Proven industrial experience in non-GMP microbial fermentation. Hands-on experience operating and troubleshooting microbial bioreactors. Knowledge of fermentation optimisation to improve enzyme yield, productivity and process robustness. Strong analytical and problem-solving skills. Excellent communication skills and the ability to work collaboratively within a multidisciplinary team. A proactive approach with strong attention to detail and a passion for scientific innovation. Applications: If you're an experienced fermentation scientist looking to contribute to innovative biotechnology projects with real-world impact, we'd love to hear from you. Apply today with your CV to find out more about this exciting opportunity. Please note that all recruitment for HydRegen Oxford is being managed exclusively by Katie Pink at Cranleigh STEM & Sustainability. If you have any questions regarding this vacancy, please direct them only to Katie at Cranleigh STEM.
Data Platform Manager UK / Remote Circa 65k - 75k per annum + bonus & benefits Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team. You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss. What you'll be doing Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement Collaborate closely with product owners and data scientists to align platform capabilities with business needs Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely with stakeholders across operations, analytics, and reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover) Strong understanding of data governance, quality, and lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent communication, problem-solving, and stakeholder management skills Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends What's in it for you? Performance-related bonus Private healthcare and life assurance 33 days annual leave (rising to 38 with service) Discounts across major retailers, restaurants, and holidays Generous family benefits and staff discounts Award-winning training and clear career progression Comprehensive wellbeing support for you and your family If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Jul 08, 2026
Full time
Data Platform Manager UK / Remote Circa 65k - 75k per annum + bonus & benefits Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team. You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss. What you'll be doing Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement Collaborate closely with product owners and data scientists to align platform capabilities with business needs Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely with stakeholders across operations, analytics, and reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover) Strong understanding of data governance, quality, and lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent communication, problem-solving, and stakeholder management skills Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends What's in it for you? Performance-related bonus Private healthcare and life assurance 33 days annual leave (rising to 38 with service) Discounts across major retailers, restaurants, and holidays Generous family benefits and staff discounts Award-winning training and clear career progression Comprehensive wellbeing support for you and your family If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Content Designer: Agentic experience Design Location: London Contract Length: 6 months Working Pattern: Hybrid - 2 days per week in the office. Via Umbrella company Are you ready to take your content design skills to the next level? Our client, a leading player in the banking industry, is seeking a passionate and innovative Content Designer to join their team for a 6-month temporary contract. This is your chance to shape customer-first experiences in the exciting realm of Conversational Banking! What You'll Do: As an agentic Content Designer, you will: Collaborate with a dynamic cross-functional team to create engaging, safe, and compliant customer experiences. Leverage your content design expertise to understand customer needs and craft AI-powered content that is structured, accurate, and machine-usable. Develop content approaches for emerging AI patterns, ensuring clear communication and usability. Partner with data scientists and engineers to define and evolve a knowledge graph that models relationships across products and systems. Conduct content audits and refine content strategies to ensure readiness for AI systems. Prototype, test, and iterate to continuously improve the quality of customer interactions. What You Bring: Content Design Expertise: Strong UX writing skills and the ability to simplify complex information. Design Thinking: Proficiency in problem framing, ideation, and testing. Systems Mindset: Ability to design content across entire journeys and ecosystems, not just individual screens. Collaboration Skills: Comfort in partnering with various stakeholders, including product, engineering, and legal teams. AI Awareness: Familiarity with generative AI and conversational design principles is a plus. Structured Content Knowledge: Experience with content models, taxonomies, and metadata. Data-Driven Mindset: Ability to work effectively with data teams on content pipelines and quality checks. Quality and Risk Awareness: Understanding the importance of accuracy and compliance in regulated environments. What We Offer: Flexible Working Arrangements: Enjoy a hybrid working model, with the option to work from home and collaborate in the office two days a week. Professional Development: Opportunities for growth and support to optimize your potential. Inclusive Culture: Join a team that values diversity and encourages everyone to contribute their unique perspectives. If you're a go-getter ready to embrace the exciting world of agentic design in banking, we want to hear from you! This is your opportunity to make a real impact and drive innovation in customer experiences. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Jul 07, 2026
Contractor
Content Designer: Agentic experience Design Location: London Contract Length: 6 months Working Pattern: Hybrid - 2 days per week in the office. Via Umbrella company Are you ready to take your content design skills to the next level? Our client, a leading player in the banking industry, is seeking a passionate and innovative Content Designer to join their team for a 6-month temporary contract. This is your chance to shape customer-first experiences in the exciting realm of Conversational Banking! What You'll Do: As an agentic Content Designer, you will: Collaborate with a dynamic cross-functional team to create engaging, safe, and compliant customer experiences. Leverage your content design expertise to understand customer needs and craft AI-powered content that is structured, accurate, and machine-usable. Develop content approaches for emerging AI patterns, ensuring clear communication and usability. Partner with data scientists and engineers to define and evolve a knowledge graph that models relationships across products and systems. Conduct content audits and refine content strategies to ensure readiness for AI systems. Prototype, test, and iterate to continuously improve the quality of customer interactions. What You Bring: Content Design Expertise: Strong UX writing skills and the ability to simplify complex information. Design Thinking: Proficiency in problem framing, ideation, and testing. Systems Mindset: Ability to design content across entire journeys and ecosystems, not just individual screens. Collaboration Skills: Comfort in partnering with various stakeholders, including product, engineering, and legal teams. AI Awareness: Familiarity with generative AI and conversational design principles is a plus. Structured Content Knowledge: Experience with content models, taxonomies, and metadata. Data-Driven Mindset: Ability to work effectively with data teams on content pipelines and quality checks. Quality and Risk Awareness: Understanding the importance of accuracy and compliance in regulated environments. What We Offer: Flexible Working Arrangements: Enjoy a hybrid working model, with the option to work from home and collaborate in the office two days a week. Professional Development: Opportunities for growth and support to optimize your potential. Inclusive Culture: Join a team that values diversity and encourages everyone to contribute their unique perspectives. If you're a go-getter ready to embrace the exciting world of agentic design in banking, we want to hear from you! This is your opportunity to make a real impact and drive innovation in customer experiences. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Join Our Dynamic Client as a Scientific Writer in Pharma! Are you passionate about scientific communication and eager to make a difference in the pharmaceutical industry? We are looking for a talented and enthusiastic Scientific Writer to join our innovative team on a temporary contract! This is your chance to contribute to groundbreaking research and make an impact in the world of healthcare. Location: Remote however you must be based in the UK Contract Length : 12 months Daily Rate : .00 Why Work With Us? At our company, we believe in the power of science and the importance of clear communication. As a Scientific Writer, you will play a vital role in translating complex scientific data into compelling narratives that resonate with diverse audiences. What You'll Do: Collaborate with scientists and researchers to create high-quality scientific documents, including clinical study reports, regulatory submissions, and scientific publications. Craft engaging content that adheres to industry standards and guidelines. Ensure clarity, accuracy, and consistency in all written materials. Stay updated on the latest scientific developments and regulatory requirements. Who You Are: A degree in a relevant scientific field (e.g., Life Sciences, Pharmacy, or a related discipline). Proven experience in scientific writing, preferably within the pharmaceutical industry. Exceptional writing, editing, and proofreading skills. Strong attention to detail and the ability to convey complex information clearly and concisely. A proactive and enthusiastic team player who thrives in a fast-paced environment. Ready to Make an Impact? If you're excited about the opportunity to contribute your skills in scientific writing to a leading pharmaceutical company, we want to hear from you! Join us in our mission to advance healthcare through clear and effective communication. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Jul 07, 2026
Contractor
Join Our Dynamic Client as a Scientific Writer in Pharma! Are you passionate about scientific communication and eager to make a difference in the pharmaceutical industry? We are looking for a talented and enthusiastic Scientific Writer to join our innovative team on a temporary contract! This is your chance to contribute to groundbreaking research and make an impact in the world of healthcare. Location: Remote however you must be based in the UK Contract Length : 12 months Daily Rate : .00 Why Work With Us? At our company, we believe in the power of science and the importance of clear communication. As a Scientific Writer, you will play a vital role in translating complex scientific data into compelling narratives that resonate with diverse audiences. What You'll Do: Collaborate with scientists and researchers to create high-quality scientific documents, including clinical study reports, regulatory submissions, and scientific publications. Craft engaging content that adheres to industry standards and guidelines. Ensure clarity, accuracy, and consistency in all written materials. Stay updated on the latest scientific developments and regulatory requirements. Who You Are: A degree in a relevant scientific field (e.g., Life Sciences, Pharmacy, or a related discipline). Proven experience in scientific writing, preferably within the pharmaceutical industry. Exceptional writing, editing, and proofreading skills. Strong attention to detail and the ability to convey complex information clearly and concisely. A proactive and enthusiastic team player who thrives in a fast-paced environment. Ready to Make an Impact? If you're excited about the opportunity to contribute your skills in scientific writing to a leading pharmaceutical company, we want to hear from you! Join us in our mission to advance healthcare through clear and effective communication. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Job Title: Data Scientist Talent Matching C Optimization Algorithms Location: Sheffield / Birmingham (3 days per week in the office) Overview one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfi click apply for full job details
Jul 07, 2026
Full time
Job Title: Data Scientist Talent Matching C Optimization Algorithms Location: Sheffield / Birmingham (3 days per week in the office) Overview one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfi click apply for full job details
Role: Senior Data Scientist Salary: from £50000 Location: Portsmouth ( hybrid, 3 days onsite) Intro Sirius Analysis, we are a rapidly growing consultancy firm, renowned for our reputation and our keen ability to understand and meet customer requirements effectively click apply for full job details
Jul 07, 2026
Full time
Role: Senior Data Scientist Salary: from £50000 Location: Portsmouth ( hybrid, 3 days onsite) Intro Sirius Analysis, we are a rapidly growing consultancy firm, renowned for our reputation and our keen ability to understand and meet customer requirements effectively click apply for full job details
Pricing Data Scientist Protection Insurance Location: Fully Remote (optional offices in Brighton or Cambridgeshire) Contract: 12-Month Fixed-Term Contract - very likely to go permanent afterwards Salary: Up to £60k The Role Joining a well-established Protection Insurance provider, you'll play a key role in shaping pricing strategy through advanced analytics, machine learning and predictive modelling click apply for full job details
Jul 07, 2026
Full time
Pricing Data Scientist Protection Insurance Location: Fully Remote (optional offices in Brighton or Cambridgeshire) Contract: 12-Month Fixed-Term Contract - very likely to go permanent afterwards Salary: Up to £60k The Role Joining a well-established Protection Insurance provider, you'll play a key role in shaping pricing strategy through advanced analytics, machine learning and predictive modelling click apply for full job details
Lead Data Scientist - Credit Modelling & Data Products My client is building a next-generation data and analytics capability using large-scale financial datasets spanning millions of records. Their goal is to transform complex data into predictive insights, industry intelligence, and innovative data products that create real business value. As Lead Data Scientist, you will be responsible for designing, building, and governing predictive models that support data-driven products and strategic decision-making. You will work closely with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL . Hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. Strong understanding of data pipelines, data quality, and analytics engineering principles. Credit Modelling & Predictive Analytics Proven experience conducting rigorous exploratory data analysis and feature engineering. Experience building predictive models in regulated financial services environments, ideally within: Retail banking Commercial banking Asset securitisation Credit management Expertise developing and deploying credit risk models, including: Probability of Default (PD) models Scorecards Risk segmentation models Experience evaluating and implementing challenger models such as XGBoost while balancing explainability and regulatory requirements. Strong understanding of model performance metrics including AUC, Gini, KS, calibration, and business impact measurement. Experience deploying production-ready models with monitoring, retraining triggers, and controls against issues such as target leakage. Governance & Regulatory Knowledge Experience operating within model risk governance frameworks, including documentation, validation, and audit requirements. Strong understanding of GDPR and automated decision-making considerations. Awareness of emerging AI regulations, including the EU AI Act and related governance requirements. Knowledge of security-by-design principles when working with sensitive financial and personal data. Why Join Us? Opportunity to shape and build a new data products capability from the ground up. Direct exposure to senior leadership and strategic decision-making. Work on complex, high-value datasets and industry-leading predictive analytics challenges. Join a collaborative environment that values innovation, ownership, and impact. Competitive salary and benefits package with flexible hybrid working. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Jul 07, 2026
Full time
Lead Data Scientist - Credit Modelling & Data Products My client is building a next-generation data and analytics capability using large-scale financial datasets spanning millions of records. Their goal is to transform complex data into predictive insights, industry intelligence, and innovative data products that create real business value. As Lead Data Scientist, you will be responsible for designing, building, and governing predictive models that support data-driven products and strategic decision-making. You will work closely with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL . Hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. Strong understanding of data pipelines, data quality, and analytics engineering principles. Credit Modelling & Predictive Analytics Proven experience conducting rigorous exploratory data analysis and feature engineering. Experience building predictive models in regulated financial services environments, ideally within: Retail banking Commercial banking Asset securitisation Credit management Expertise developing and deploying credit risk models, including: Probability of Default (PD) models Scorecards Risk segmentation models Experience evaluating and implementing challenger models such as XGBoost while balancing explainability and regulatory requirements. Strong understanding of model performance metrics including AUC, Gini, KS, calibration, and business impact measurement. Experience deploying production-ready models with monitoring, retraining triggers, and controls against issues such as target leakage. Governance & Regulatory Knowledge Experience operating within model risk governance frameworks, including documentation, validation, and audit requirements. Strong understanding of GDPR and automated decision-making considerations. Awareness of emerging AI regulations, including the EU AI Act and related governance requirements. Knowledge of security-by-design principles when working with sensitive financial and personal data. Why Join Us? Opportunity to shape and build a new data products capability from the ground up. Direct exposure to senior leadership and strategic decision-making. Work on complex, high-value datasets and industry-leading predictive analytics challenges. Join a collaborative environment that values innovation, ownership, and impact. Competitive salary and benefits package with flexible hybrid working. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning
Jul 07, 2026
Full time
Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning
