Lead Data Scientist - Financial Crime Salary: 95,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 95,000 - 120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.
09/06/2026
Full time
Lead Data Scientist - Financial Crime Salary: 95,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 95,000 - 120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.
Overview This three-year fixed term contract is with a prestigious research organisation who use emerging data science and AI techniques to stay ahead of evolving threats to national security. They employ some of the brightest minds in the country, and are seeking to add another high performing lateral thinker to their growing team specialising in securing against attacks in the electromagnet and radio frequency domains. This area could naturally encompass topics such as radars or resilient terrestrial or space-based communication systems. This is a senior research role, and requires exceptional mathematical and analytical skills, self motivation, and an ability to think beyond the state of the art to solve problems. You would be working in collaboration with industry partners or other research bodies. Your co workers could include computer scientists, AI specialists, statisticians, physicists, and mathematicians, so you will need excellent team working and communication skills. Responsibilities As a Senior Data Science Specialist, you would be instrumental in characterising problems and evaluating the plausibility of proposed solutions. Your projects would be exciting, mentally stimulating, and relatively short in duration, and would provide a key input for proofs of concept and follow up work. Qualifications An outstanding academic background, with a 1st or 2.1 class degree in maths, physics, or similar discipline from a top university and a relevant PhD. An aptitude for authoring quality scientific publications is essential. Substantial prior experience in applying data science within research in academia or industry. Strong expertise in data science techniques, knowledge in areas such as AI, signal conditioning, signal processing, RF engineering and modelling, protective strategies for electronics, and algorithm development. Sensor fusion experience would be very beneficial. Good coding skills in Python or similar. An aptitude or interest in mentoring junior researchers. Eligibility & Requirements Due to the sensitive nature of some of the work undertaken, the role requires security clearance, so sole British nationality is required. Benefits and Working Conditions You will be joining an exceptionally bright team of engineers and scientists, working in an open and adaptive culture that values honesty and accepts that blue sky ideas don't always succeed. They support continued learning and personal development as a fundamental part of how they operate. This is a great opportunity to work on exciting meaningful projects and take your data science expertise to the next level. The organisation's offices are easily accessible via public transport, and hybrid working is available.
09/06/2026
Full time
Overview This three-year fixed term contract is with a prestigious research organisation who use emerging data science and AI techniques to stay ahead of evolving threats to national security. They employ some of the brightest minds in the country, and are seeking to add another high performing lateral thinker to their growing team specialising in securing against attacks in the electromagnet and radio frequency domains. This area could naturally encompass topics such as radars or resilient terrestrial or space-based communication systems. This is a senior research role, and requires exceptional mathematical and analytical skills, self motivation, and an ability to think beyond the state of the art to solve problems. You would be working in collaboration with industry partners or other research bodies. Your co workers could include computer scientists, AI specialists, statisticians, physicists, and mathematicians, so you will need excellent team working and communication skills. Responsibilities As a Senior Data Science Specialist, you would be instrumental in characterising problems and evaluating the plausibility of proposed solutions. Your projects would be exciting, mentally stimulating, and relatively short in duration, and would provide a key input for proofs of concept and follow up work. Qualifications An outstanding academic background, with a 1st or 2.1 class degree in maths, physics, or similar discipline from a top university and a relevant PhD. An aptitude for authoring quality scientific publications is essential. Substantial prior experience in applying data science within research in academia or industry. Strong expertise in data science techniques, knowledge in areas such as AI, signal conditioning, signal processing, RF engineering and modelling, protective strategies for electronics, and algorithm development. Sensor fusion experience would be very beneficial. Good coding skills in Python or similar. An aptitude or interest in mentoring junior researchers. Eligibility & Requirements Due to the sensitive nature of some of the work undertaken, the role requires security clearance, so sole British nationality is required. Benefits and Working Conditions You will be joining an exceptionally bright team of engineers and scientists, working in an open and adaptive culture that values honesty and accepts that blue sky ideas don't always succeed. They support continued learning and personal development as a fundamental part of how they operate. This is a great opportunity to work on exciting meaningful projects and take your data science expertise to the next level. The organisation's offices are easily accessible via public transport, and hybrid working is available.
Working at the forefront of technology and security, this innovative company supports critical national security projects that safeguard what matters most. They bring together talented engineers, scientists, and creatives from diverse backgrounds to develop solutions that shape tomorrow's technology landscape. As part of their team, you'll contribute to meaningful work that makes a real difference. Role Overview Location: Cheltenham, United Kingdom Package: £Competitive Industry: National Security, Defence, and Intelligence Clearance: eDV What You'll Be Doing: Design, deploy, and maintain resilient, high-availability web services across different environments. Lead efforts to improve reliability, reduce technical debt, and manage incident responses including root cause analysis. Develop, automate, and optimise infrastructure as code and container platforms with tools like Docker, Kubernetes, Helm, Ansible, and Terraform. Build and enhance CI/CD pipelines for safe, repeatable deployments. Implement monitoring, logging, alerting, and tracing to support troubleshooting and performance optimisation. Embed security practices into pipelines and infrastructure, managing secrets, certificates, access controls, and compliance automation. Mentor junior engineers, influence engineering standards, and contribute to platform reliability strategies in a collaborative environment. Main Skills Needed: Experience deploying secure, scalable web services in production. Strong background in DevOps/SRE practices and CI/CD tooling such as GitLab CI or Jenkins. Proficiency with containerisation and orchestration technologies, including Docker, Kubernetes, and Helm. Familiarity with infrastructure as code tools like Terraform and Ansible. Knowledge of observability tools such as Prometheus, Grafana, or Kibana. Programming skills in Python, JavaScript, or Java, and a willingness to learn new tech. Experience with AI-enabled workflows and data pipelines is a bonus. Security awareness and experience with automation in classified and unclassified environments. Cloud experience, particularly with AWS, is desirable. What's in It for You: Join a team that values innovation, technical excellence, and continuous learning. Enjoy flexible working arrangements, a strong benefits package-including 30 days' holiday plus bank holidays-and the chance to work on impactful projects within a company that combines over 70 years of heritage with modern agility. Your growth and diverse perspectives are genuinely supported here. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
09/06/2026
Full time
Working at the forefront of technology and security, this innovative company supports critical national security projects that safeguard what matters most. They bring together talented engineers, scientists, and creatives from diverse backgrounds to develop solutions that shape tomorrow's technology landscape. As part of their team, you'll contribute to meaningful work that makes a real difference. Role Overview Location: Cheltenham, United Kingdom Package: £Competitive Industry: National Security, Defence, and Intelligence Clearance: eDV What You'll Be Doing: Design, deploy, and maintain resilient, high-availability web services across different environments. Lead efforts to improve reliability, reduce technical debt, and manage incident responses including root cause analysis. Develop, automate, and optimise infrastructure as code and container platforms with tools like Docker, Kubernetes, Helm, Ansible, and Terraform. Build and enhance CI/CD pipelines for safe, repeatable deployments. Implement monitoring, logging, alerting, and tracing to support troubleshooting and performance optimisation. Embed security practices into pipelines and infrastructure, managing secrets, certificates, access controls, and compliance automation. Mentor junior engineers, influence engineering standards, and contribute to platform reliability strategies in a collaborative environment. Main Skills Needed: Experience deploying secure, scalable web services in production. Strong background in DevOps/SRE practices and CI/CD tooling such as GitLab CI or Jenkins. Proficiency with containerisation and orchestration technologies, including Docker, Kubernetes, and Helm. Familiarity with infrastructure as code tools like Terraform and Ansible. Knowledge of observability tools such as Prometheus, Grafana, or Kibana. Programming skills in Python, JavaScript, or Java, and a willingness to learn new tech. Experience with AI-enabled workflows and data pipelines is a bonus. Security awareness and experience with automation in classified and unclassified environments. Cloud experience, particularly with AWS, is desirable. What's in It for You: Join a team that values innovation, technical excellence, and continuous learning. Enjoy flexible working arrangements, a strong benefits package-including 30 days' holiday plus bank holidays-and the chance to work on impactful projects within a company that combines over 70 years of heritage with modern agility. Your growth and diverse perspectives are genuinely supported here. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About the team Our Defence team is focused on building and embedding human centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting edge AI to high stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on site with these customers which may require travel to locations throughout the UK. When not required on client sites, you'll have the flexibility to work from our London office or remotely from elsewhere within the UK. About the role As a Senior Machine Learning Engineer, you'll lead development and deployment of cutting edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross functional role requiring a blend of technical expertise, engineering leadership, and confident client facing skills. Responsibilities Lead technical scoping and architectural decisions for high impact ML systems. Design and build production grade ML software, tools, and scalable infrastructure. Define and implement best practices and standards for deploying machine learning at scale across the business. Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities. Act as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies. Mentor and develop junior engineers, actively shaping our team's engineering culture and technical depth. Qualifications Understanding of the full ML lifecycle and significant experience operationalising models built with frameworks such as TensorFlow or PyTorch. Deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems. Hands on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure. Extensive experience working with container and orchestration tools such as Docker and Kubernetes to build and manage applications at scale. Comfortable thriving in fast paced, high growth environments, demonstrating ownership and autonomy in driving projects to completion. Excellent communication skills, confidently guiding both technical teams and senior, non technical stakeholders. Senior (5+ years of experience). Benefits Unlimited annual leave policy. Private healthcare and dental. Enhanced parental leave. Family friendly flexibility & flexible working. Sanctus coaching. Hybrid working. EEO Statement We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
09/06/2026
Full time
About the team Our Defence team is focused on building and embedding human centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting edge AI to high stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on site with these customers which may require travel to locations throughout the UK. When not required on client sites, you'll have the flexibility to work from our London office or remotely from elsewhere within the UK. About the role As a Senior Machine Learning Engineer, you'll lead development and deployment of cutting edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross functional role requiring a blend of technical expertise, engineering leadership, and confident client facing skills. Responsibilities Lead technical scoping and architectural decisions for high impact ML systems. Design and build production grade ML software, tools, and scalable infrastructure. Define and implement best practices and standards for deploying machine learning at scale across the business. Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities. Act as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies. Mentor and develop junior engineers, actively shaping our team's engineering culture and technical depth. Qualifications Understanding of the full ML lifecycle and significant experience operationalising models built with frameworks such as TensorFlow or PyTorch. Deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems. Hands on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure. Extensive experience working with container and orchestration tools such as Docker and Kubernetes to build and manage applications at scale. Comfortable thriving in fast paced, high growth environments, demonstrating ownership and autonomy in driving projects to completion. Excellent communication skills, confidently guiding both technical teams and senior, non technical stakeholders. Senior (5+ years of experience). Benefits Unlimited annual leave policy. Private healthcare and dental. Enhanced parental leave. Family friendly flexibility & flexible working. Sanctus coaching. Hybrid working. EEO Statement We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
AI Engineer Salary: Up to £80,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value. The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives. Responsibilities for the AI Engineer: Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready Deliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirements Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major cloud platforms including AI and ML services Solid foundation in software engineering principles for scalable, production-grade systems Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases Proven experience delivering full-stack AI or ML systems within enterprise environments Strong understanding of advanced agent architectures, reasoning systems and autonomous workflows Excellent communication and stakeholder management capability Experience supporting proposals, client-facing discussions or technical presentations If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence
09/06/2026
Full time
AI Engineer Salary: Up to £80,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value. The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives. Responsibilities for the AI Engineer: Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready Deliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirements Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major cloud platforms including AI and ML services Solid foundation in software engineering principles for scalable, production-grade systems Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases Proven experience delivering full-stack AI or ML systems within enterprise environments Strong understanding of advanced agent architectures, reasoning systems and autonomous workflows Excellent communication and stakeholder management capability Experience supporting proposals, client-facing discussions or technical presentations If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence
About the team Our Defence team is focused on building and embedding human centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting edge AI to high stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on site with these customers which may require travel to locations throughout the UK. When not required on client sites, you'll have the flexibility to work from our London office or remotely from elsewhere within the UK. About the role As a Senior Machine Learning Engineer, you'll lead development and deployment of cutting edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross functional role requiring a blend of technical expertise, engineering leadership, and confident client facing skills. Responsibilities Lead technical scoping and architectural decisions for high impact ML systems. Design and build production grade ML software, tools, and scalable infrastructure. Define and implement best practices and standards for deploying machine learning at scale across the business. Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities. Act as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies. Mentor and develop junior engineers, actively shaping our team's engineering culture and technical depth. Qualifications Understanding of the full ML lifecycle and significant experience operationalising models built with frameworks such as TensorFlow or PyTorch. Deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems. Hands on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure. Extensive experience working with container and orchestration tools such as Docker and Kubernetes to build and manage applications at scale. Comfortable thriving in fast paced, high growth environments, demonstrating ownership and autonomy in driving projects to completion. Excellent communication skills, confidently guiding both technical teams and senior, non technical stakeholders. Senior (5+ years of experience). Benefits Unlimited annual leave policy. Private healthcare and dental. Enhanced parental leave. Family friendly flexibility & flexible working. Sanctus coaching. Hybrid working. EEO Statement We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
09/06/2026
Full time
About the team Our Defence team is focused on building and embedding human centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting edge AI to high stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on site with these customers which may require travel to locations throughout the UK. When not required on client sites, you'll have the flexibility to work from our London office or remotely from elsewhere within the UK. About the role As a Senior Machine Learning Engineer, you'll lead development and deployment of cutting edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross functional role requiring a blend of technical expertise, engineering leadership, and confident client facing skills. Responsibilities Lead technical scoping and architectural decisions for high impact ML systems. Design and build production grade ML software, tools, and scalable infrastructure. Define and implement best practices and standards for deploying machine learning at scale across the business. Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities. Act as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies. Mentor and develop junior engineers, actively shaping our team's engineering culture and technical depth. Qualifications Understanding of the full ML lifecycle and significant experience operationalising models built with frameworks such as TensorFlow or PyTorch. Deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems. Hands on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure. Extensive experience working with container and orchestration tools such as Docker and Kubernetes to build and manage applications at scale. Comfortable thriving in fast paced, high growth environments, demonstrating ownership and autonomy in driving projects to completion. Excellent communication skills, confidently guiding both technical teams and senior, non technical stakeholders. Senior (5+ years of experience). Benefits Unlimited annual leave policy. Private healthcare and dental. Enhanced parental leave. Family friendly flexibility & flexible working. Sanctus coaching. Hybrid working. EEO Statement We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Location: London or Gloucestershire Overview We're looking for a Senior Machine Learning Engineer to join a supportive, multidisciplinary team developing AI/ML systems to solve critical National Security challenges. As a Senior Machine Learning Engineer, you'll lead onsite engagements with clients and stakeholders to translate their problems into robust, production-ready machine learning solutions. You'll rapidly explore, prototype, and deploy ML approaches both within and beyond our core capability offerings, taking ownership from initial concept through to live operation. Working at the forefront of applied AI alongside experts across multiple disciplines, you'll help users defend against Defence and National Security threats, directly contributing to safer, more resilient systems deployed where they matter most. Mind Foundry works on some of the most complex and urgent challenges in Defence and National Security. We specialise in supporting customers across the community to make sense at the speed of relevance from the ever-increasing volumes of data collected by sensors and systems. We often find ourselves working at the edge in complex environments where power, compute, and bandwidth are in short supply. The work is challenging, the customer needs products and applications they can trust, and the sense of achievement is therefore substantial. This is an opportunity to innovate at the forefront of applied machine learning, tackle high-impact real-world problems, grow your technical skills, and shape the way AI/ML solutions are delivered to critical operational environments. Because of the nature of this work: You will need to hold existing or be eligible for UK Developed Vetting (DV), details of which can be found on the Gov UK website. Be expected to work primarily on our clients' sites in London or Gloucestershire, please consider your commute when applying. Key day-to-day activities Lead technical scoping and make key architectural decisions to enable delivery of professional-level ML solutions. Design and build prototypes and robust, production-ready ML solutions. Work collaboratively with colleagues across the team (Product Managers, Machine Learning Scientists, Software Engineers) to solve critical National Security challenges. Maintain and develop a strong working knowledge of state-of-the-art ML methods, software tools and implementation methods. Write maintainable production code and promote best practices for code quality in a scientific codebase. Mentor and develop junior Machine Learning Engineers. Provide advice and explain core ML concepts to our customers and partners. Provide training to our customers and partners on Mind Foundry products and solutions. Core kills & Experience • A degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience). Strong engineer with demonstrated proficiency in programming languages such as Python, producing clean, reproducible, well-tested, and well-documented code suitable for long-term ownership and handover. Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures. Be able to work with state-of-the-art ML libraries to deliver powerful results quickly. Exceptional problem-solving skills and comfortable working in ambiguous, fast-moving environments, embedded with customers or delivery teams. Hold existing Developed Vetting (DV) level clearance, or willing and eligible to obtain and maintain UK security clearance to Developed Vetting (DV) level. Nice to Have Prior experience working with government customers, defence contractors, or in military environments. Ability to write technical material (documentation, published papers, internal technical notes etc). Experience with Natural Language Processing (NLP), Large Language Models (LLMs) or Image Processing. Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in python (Flask or FastAPI), and interactive visualisations and User Interfaces (Streamlit, Plotly, Gradio etc). While we think the above experience is important, we're keen to hear from people that believe they have valuable skills, ideas, or perspectives that will make an impact in this role. If our team and mission resonate with you, but you do not necessarily meet all our requirements, we still encourage you to apply. What do we offer? We believe in investing in our people by encouraging career and personal development that aligns with your goals and ambitions. We make sure all staff have the tools, time and support they need to shape their own professional development. We want to help you excel at what you do and support your growth within the company. You'll enjoy a competitive compensation package and great benefits such as: 25 days of annual leave plus Bank Holidays Salary Sacrifice Pension scheme with a 5% employer contribution (minimum 5% employee contribution) Private Healthcare (including dental and optical cover) Group Life Cover at x3 your annual salary once you pass your probation period Enhanced Paid Parental and Sickness Leave Workplace Nursery Scheme Pet friendly office Professional and personal development For more information, please visit our website or email Interview Process Initialdiscussion with the People team TestDome coding exercise 1 hour interview with two members of the Science & Engineering Team 1 hour technical interview, including a 10-minute presentation and live coding exercise In person meet the team at our Summertown, Oxford office Company Mind Foundry Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, Natural Language Processing, NLP, United Kingdom
09/06/2026
Full time
Location: London or Gloucestershire Overview We're looking for a Senior Machine Learning Engineer to join a supportive, multidisciplinary team developing AI/ML systems to solve critical National Security challenges. As a Senior Machine Learning Engineer, you'll lead onsite engagements with clients and stakeholders to translate their problems into robust, production-ready machine learning solutions. You'll rapidly explore, prototype, and deploy ML approaches both within and beyond our core capability offerings, taking ownership from initial concept through to live operation. Working at the forefront of applied AI alongside experts across multiple disciplines, you'll help users defend against Defence and National Security threats, directly contributing to safer, more resilient systems deployed where they matter most. Mind Foundry works on some of the most complex and urgent challenges in Defence and National Security. We specialise in supporting customers across the community to make sense at the speed of relevance from the ever-increasing volumes of data collected by sensors and systems. We often find ourselves working at the edge in complex environments where power, compute, and bandwidth are in short supply. The work is challenging, the customer needs products and applications they can trust, and the sense of achievement is therefore substantial. This is an opportunity to innovate at the forefront of applied machine learning, tackle high-impact real-world problems, grow your technical skills, and shape the way AI/ML solutions are delivered to critical operational environments. Because of the nature of this work: You will need to hold existing or be eligible for UK Developed Vetting (DV), details of which can be found on the Gov UK website. Be expected to work primarily on our clients' sites in London or Gloucestershire, please consider your commute when applying. Key day-to-day activities Lead technical scoping and make key architectural decisions to enable delivery of professional-level ML solutions. Design and build prototypes and robust, production-ready ML solutions. Work collaboratively with colleagues across the team (Product Managers, Machine Learning Scientists, Software Engineers) to solve critical National Security challenges. Maintain and develop a strong working knowledge of state-of-the-art ML methods, software tools and implementation methods. Write maintainable production code and promote best practices for code quality in a scientific codebase. Mentor and develop junior Machine Learning Engineers. Provide advice and explain core ML concepts to our customers and partners. Provide training to our customers and partners on Mind Foundry products and solutions. Core kills & Experience • A degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience). Strong engineer with demonstrated proficiency in programming languages such as Python, producing clean, reproducible, well-tested, and well-documented code suitable for long-term ownership and handover. Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures. Be able to work with state-of-the-art ML libraries to deliver powerful results quickly. Exceptional problem-solving skills and comfortable working in ambiguous, fast-moving environments, embedded with customers or delivery teams. Hold existing Developed Vetting (DV) level clearance, or willing and eligible to obtain and maintain UK security clearance to Developed Vetting (DV) level. Nice to Have Prior experience working with government customers, defence contractors, or in military environments. Ability to write technical material (documentation, published papers, internal technical notes etc). Experience with Natural Language Processing (NLP), Large Language Models (LLMs) or Image Processing. Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in python (Flask or FastAPI), and interactive visualisations and User Interfaces (Streamlit, Plotly, Gradio etc). While we think the above experience is important, we're keen to hear from people that believe they have valuable skills, ideas, or perspectives that will make an impact in this role. If our team and mission resonate with you, but you do not necessarily meet all our requirements, we still encourage you to apply. What do we offer? We believe in investing in our people by encouraging career and personal development that aligns with your goals and ambitions. We make sure all staff have the tools, time and support they need to shape their own professional development. We want to help you excel at what you do and support your growth within the company. You'll enjoy a competitive compensation package and great benefits such as: 25 days of annual leave plus Bank Holidays Salary Sacrifice Pension scheme with a 5% employer contribution (minimum 5% employee contribution) Private Healthcare (including dental and optical cover) Group Life Cover at x3 your annual salary once you pass your probation period Enhanced Paid Parental and Sickness Leave Workplace Nursery Scheme Pet friendly office Professional and personal development For more information, please visit our website or email Interview Process Initialdiscussion with the People team TestDome coding exercise 1 hour interview with two members of the Science & Engineering Team 1 hour technical interview, including a 10-minute presentation and live coding exercise In person meet the team at our Summertown, Oxford office Company Mind Foundry Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, Natural Language Processing, NLP, United Kingdom
Internwise seeks a Junior Data Scientist/Quant Analyst for its London office. The role involves maintaining Python libraries and performing financial modeling, offering a unique opportunity to learn from experienced investment professionals. Ideal candidates have strong quantitative skills, programming expertise in Python, and a record of academic excellence in fields like Mathematics or Statistics. This position promises a collaborative environment with opportunities for growth.
09/06/2026
Full time
Internwise seeks a Junior Data Scientist/Quant Analyst for its London office. The role involves maintaining Python libraries and performing financial modeling, offering a unique opportunity to learn from experienced investment professionals. Ideal candidates have strong quantitative skills, programming expertise in Python, and a record of academic excellence in fields like Mathematics or Statistics. This position promises a collaborative environment with opportunities for growth.
Working at the forefront of technology and security, this innovative company supports critical national security projects that safeguard what matters most. They bring together talented engineers, scientists, and creatives from diverse backgrounds to develop solutions that shape tomorrow's technology landscape. As part of their team, you'll contribute to meaningful work that makes a real difference. Role Overview Location: Cheltenham, United Kingdom Package: £Competitive Industry: National Security, Defence, and Intelligence Clearance: eDV What You'll Be Doing: Design, deploy, and maintain resilient, high-availability web services across different environments. Lead efforts to improve reliability, reduce technical debt, and manage incident responses including root cause analysis. Develop, automate, and optimise infrastructure as code and container platforms with tools like Docker, Kubernetes, Helm, Ansible, and Terraform. Build and enhance CI/CD pipelines for safe, repeatable deployments. Implement monitoring, logging, alerting, and tracing to support troubleshooting and performance optimisation. Embed security practices into pipelines and infrastructure, managing secrets, certificates, access controls, and compliance automation. Mentor junior engineers, influence engineering standards, and contribute to platform reliability strategies in a collaborative environment. Main Skills Needed: Experience deploying secure, scalable web services in production. Strong background in DevOps/SRE practices and CI/CD tooling such as GitLab CI or Jenkins. Proficiency with containerisation and orchestration technologies, including Docker, Kubernetes, and Helm. Familiarity with infrastructure as code tools like Terraform and Ansible. Knowledge of observability tools such as Prometheus, Grafana, or Kibana. Programming skills in Python, JavaScript, or Java, and a willingness to learn new tech. Experience with AI-enabled workflows and data pipelines is a bonus. Security awareness and experience with automation in classified and unclassified environments. Cloud experience, particularly with AWS, is desirable. What's in It for You: Join a team that values innovation, technical excellence, and continuous learning. Enjoy flexible working arrangements, a strong benefits package-including 30 days' holiday plus bank holidays-and the chance to work on impactful projects within a company that combines over 70 years of heritage with modern agility. Your growth and diverse perspectives are genuinely supported here. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
09/06/2026
Full time
Working at the forefront of technology and security, this innovative company supports critical national security projects that safeguard what matters most. They bring together talented engineers, scientists, and creatives from diverse backgrounds to develop solutions that shape tomorrow's technology landscape. As part of their team, you'll contribute to meaningful work that makes a real difference. Role Overview Location: Cheltenham, United Kingdom Package: £Competitive Industry: National Security, Defence, and Intelligence Clearance: eDV What You'll Be Doing: Design, deploy, and maintain resilient, high-availability web services across different environments. Lead efforts to improve reliability, reduce technical debt, and manage incident responses including root cause analysis. Develop, automate, and optimise infrastructure as code and container platforms with tools like Docker, Kubernetes, Helm, Ansible, and Terraform. Build and enhance CI/CD pipelines for safe, repeatable deployments. Implement monitoring, logging, alerting, and tracing to support troubleshooting and performance optimisation. Embed security practices into pipelines and infrastructure, managing secrets, certificates, access controls, and compliance automation. Mentor junior engineers, influence engineering standards, and contribute to platform reliability strategies in a collaborative environment. Main Skills Needed: Experience deploying secure, scalable web services in production. Strong background in DevOps/SRE practices and CI/CD tooling such as GitLab CI or Jenkins. Proficiency with containerisation and orchestration technologies, including Docker, Kubernetes, and Helm. Familiarity with infrastructure as code tools like Terraform and Ansible. Knowledge of observability tools such as Prometheus, Grafana, or Kibana. Programming skills in Python, JavaScript, or Java, and a willingness to learn new tech. Experience with AI-enabled workflows and data pipelines is a bonus. Security awareness and experience with automation in classified and unclassified environments. Cloud experience, particularly with AWS, is desirable. What's in It for You: Join a team that values innovation, technical excellence, and continuous learning. Enjoy flexible working arrangements, a strong benefits package-including 30 days' holiday plus bank holidays-and the chance to work on impactful projects within a company that combines over 70 years of heritage with modern agility. Your growth and diverse perspectives are genuinely supported here. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
AI Engineer Salary: Up to £80,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value. The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives. Responsibilities for the AI Engineer: Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready Deliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirements Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major cloud platforms including AI and ML services Solid foundation in software engineering principles for scalable, production-grade systems Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases Proven experience delivering full-stack AI or ML systems within enterprise environments Strong understanding of advanced agent architectures, reasoning systems and autonomous workflows Excellent communication and stakeholder management capability Experience supporting proposals, client-facing discussions or technical presentations If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence
09/06/2026
Full time
AI Engineer Salary: Up to £80,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value. The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives. Responsibilities for the AI Engineer: Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready Deliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirements Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major cloud platforms including AI and ML services Solid foundation in software engineering principles for scalable, production-grade systems Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases Proven experience delivering full-stack AI or ML systems within enterprise environments Strong understanding of advanced agent architectures, reasoning systems and autonomous workflows Excellent communication and stakeholder management capability Experience supporting proposals, client-facing discussions or technical presentations If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence
Shape the Future of AI at Forge Holiday Group At Forge Holiday Group, we don't just do holidays, we create memories. With market-leading brands like Sykes Holiday Cottages, Forest Holidays, and Bachcare in New Zealand, we're 1,700+ strong and powered by four values: One Business One Team, Keep it Simple, Grow & Learn, Sustainable Impact. Why This Role Stands Out Innovation: Work hands on with cutting edge AI/ML tools and techniques to deliver real business impact. Leadership: Mentor and collaborate with talented engineers, data scientists, and product teams. Culture: People first, values driven, creativity & integrity at the core. Impact: Shape AI driven solutions that directly improve customer experience and business decisions. About the Role As a Senior AI/ML Engineer, you'll play a pivotal role in designing, building, and deploying scalable AI and machine learning solutions across Forge Holiday Group. From data pipelines to machine learning models, your work will power customer interactions, internal insights, and commercial decision making. You'll Own Build and maintain end to end AI/ML pipelines in Microsoft Fabric. Design, train, deploy and monitor machine learning and deep learning models. Implement MLOps best practices: versioned data & features, CI/CD pipelines, model promotion, and rollback. Collaborate with data scientists, analytics engineers, product managers, and developers to turn business problems into AI solutions. Uphold data quality, governance, security, and responsible AI practices. Evaluate and adopt new tools and technologies to enhance our AI/ML platform. Mentor junior colleagues and foster a culture of innovation and knowledge sharing. What You Need To Know Salary: Up to £80,000 per annum. Team: Work with cross functional teams and mentor junior engineers. Tools: Microsoft Fabric, Azure ML, MLflow, Spark, Python, SQL, CI/CD, and ML frameworks like TensorFlow, PyTorch, Scikit learn. Scope: End to end AI/ML solutions for multi product, multi region strategy. Report To: Head of Data Science / CTO. Location: Chester HQ, Hybrid working. Working Pattern: 37.5 hours, Monday to Friday, 9am to 5:30pm. What We're Looking For Essential Strong experience designing, building and maintaining scalable data pipelines and architectures for AI/ML. Familiarity with Microsoft Fabric (Data Engineering, Data Science, Real Time Analytics) and Azure ML, including MLflow. Proficiency with tools such as Apache Spark, Azure Data Factory, GIT, Python and SQL. Skilled in developing, training and deploying machine learning models with frameworks like TensorFlow, PyTorch or Scikit learn. Strong understanding of data modelling, data governance, security and responsible AI practices. Excellent problem solving skills and the ability to explain technical concepts to varied audiences. Ability to manage priorities and deliver results in a fast paced environment. Desirable Experience with generative AI, large language models (e.g. LangChain, vector databases) and retrieval augmented generation. Knowledge of AutoML, hyperparameter tuning and advanced MLflow features. Experience with streaming and real time data platforms. Familiarity with CI/CD, MLOps and deployment pipelines (Azure DevOps, GitHub Actions, Docker). Commercial awareness in e commerce, travel or holiday lettings sectors. Experience mentoring others or leading technical workstreams. About You Curious, innovative and passionate about data and AI. A team player who values collaboration and honest communication. Able to take ownership, work independently and deliver on commitments. Supportive and approachable, with a willingness to share knowledge. Committed to building ethical AI solutions that respect privacy, security and sustainability. Forge Holiday Group Benefits Annual STIP Company wide Bonus Scheme offering up to an additional 10% of your salary through our performance based bonus program. 33 days' holiday (including bank holidays), plus up to 5 extra with long service. Option to purchase extra holiday days if you wish. A day off for your birthday. 2 volunteering days per year. Enhanced parental leave (24 weeks maternity, 3 weeks paternity at full pay). Pension scheme with employer contributions. Discounted and last minute stays at Forest Holidays and Sykes Cottages for you, your friends & family. Special offers and discounts designed to enhance your overall wellbeing. Health cash plan & life assurance. Training & development opportunities. 24/7 mental health support. On site gym and parking at Chester HQ (near train station). Employee savings scheme. Long service awards and company events. We're committed to diversity and inclusion and encourage you to bring your authentic self. Need adjustments for recruitment? Just ask. Ready to build intelligent AI solutions that drive real impact? Apply now or share with someone exceptional. Forge Holiday Group Ltd Senior (5+ years of experience)
09/06/2026
Full time
Shape the Future of AI at Forge Holiday Group At Forge Holiday Group, we don't just do holidays, we create memories. With market-leading brands like Sykes Holiday Cottages, Forest Holidays, and Bachcare in New Zealand, we're 1,700+ strong and powered by four values: One Business One Team, Keep it Simple, Grow & Learn, Sustainable Impact. Why This Role Stands Out Innovation: Work hands on with cutting edge AI/ML tools and techniques to deliver real business impact. Leadership: Mentor and collaborate with talented engineers, data scientists, and product teams. Culture: People first, values driven, creativity & integrity at the core. Impact: Shape AI driven solutions that directly improve customer experience and business decisions. About the Role As a Senior AI/ML Engineer, you'll play a pivotal role in designing, building, and deploying scalable AI and machine learning solutions across Forge Holiday Group. From data pipelines to machine learning models, your work will power customer interactions, internal insights, and commercial decision making. You'll Own Build and maintain end to end AI/ML pipelines in Microsoft Fabric. Design, train, deploy and monitor machine learning and deep learning models. Implement MLOps best practices: versioned data & features, CI/CD pipelines, model promotion, and rollback. Collaborate with data scientists, analytics engineers, product managers, and developers to turn business problems into AI solutions. Uphold data quality, governance, security, and responsible AI practices. Evaluate and adopt new tools and technologies to enhance our AI/ML platform. Mentor junior colleagues and foster a culture of innovation and knowledge sharing. What You Need To Know Salary: Up to £80,000 per annum. Team: Work with cross functional teams and mentor junior engineers. Tools: Microsoft Fabric, Azure ML, MLflow, Spark, Python, SQL, CI/CD, and ML frameworks like TensorFlow, PyTorch, Scikit learn. Scope: End to end AI/ML solutions for multi product, multi region strategy. Report To: Head of Data Science / CTO. Location: Chester HQ, Hybrid working. Working Pattern: 37.5 hours, Monday to Friday, 9am to 5:30pm. What We're Looking For Essential Strong experience designing, building and maintaining scalable data pipelines and architectures for AI/ML. Familiarity with Microsoft Fabric (Data Engineering, Data Science, Real Time Analytics) and Azure ML, including MLflow. Proficiency with tools such as Apache Spark, Azure Data Factory, GIT, Python and SQL. Skilled in developing, training and deploying machine learning models with frameworks like TensorFlow, PyTorch or Scikit learn. Strong understanding of data modelling, data governance, security and responsible AI practices. Excellent problem solving skills and the ability to explain technical concepts to varied audiences. Ability to manage priorities and deliver results in a fast paced environment. Desirable Experience with generative AI, large language models (e.g. LangChain, vector databases) and retrieval augmented generation. Knowledge of AutoML, hyperparameter tuning and advanced MLflow features. Experience with streaming and real time data platforms. Familiarity with CI/CD, MLOps and deployment pipelines (Azure DevOps, GitHub Actions, Docker). Commercial awareness in e commerce, travel or holiday lettings sectors. Experience mentoring others or leading technical workstreams. About You Curious, innovative and passionate about data and AI. A team player who values collaboration and honest communication. Able to take ownership, work independently and deliver on commitments. Supportive and approachable, with a willingness to share knowledge. Committed to building ethical AI solutions that respect privacy, security and sustainability. Forge Holiday Group Benefits Annual STIP Company wide Bonus Scheme offering up to an additional 10% of your salary through our performance based bonus program. 33 days' holiday (including bank holidays), plus up to 5 extra with long service. Option to purchase extra holiday days if you wish. A day off for your birthday. 2 volunteering days per year. Enhanced parental leave (24 weeks maternity, 3 weeks paternity at full pay). Pension scheme with employer contributions. Discounted and last minute stays at Forest Holidays and Sykes Cottages for you, your friends & family. Special offers and discounts designed to enhance your overall wellbeing. Health cash plan & life assurance. Training & development opportunities. 24/7 mental health support. On site gym and parking at Chester HQ (near train station). Employee savings scheme. Long service awards and company events. We're committed to diversity and inclusion and encourage you to bring your authentic self. Need adjustments for recruitment? Just ask. Ready to build intelligent AI solutions that drive real impact? Apply now or share with someone exceptional. Forge Holiday Group Ltd Senior (5+ years of experience)
The Role in 30 Seconds First data scientist at a funded London startup (two founders with proven track record) Build ML systems that predict future mobile app conversions weeks in advance Own the entire ML stack with direct business impact What We Do Day30 helps subscription apps improve paid acquisition ROI by providing predictive signals to optimise ad spend. We connect directly to mobile measurement partners (MMPs) to analyse behavioural event data, build ML models that predict high value conversions weeks in advance, and deliver these predictions to advertising platforms without compromising user privacy. We're a two founder London startup combining deep expertise in performance marketing and machine learning. As our first data scientist, you'll be founder adjacent, working directly with our CEO and CTO to transform our current ML capabilities into a scalable, automated platform that will power hundreds of clients. This role offers rare technical autonomy: you'll work across the entire ML pipeline from data ingestion through production deployment, collaborate with the CTO and software engineers, and have direct input on all technical decisions. We're looking for someone who thrives on solving complex behavioural modelling problems and wants to see their work immediately impact real business outcomes. What You'll Do Core ML Pipeline Development Design and implement end to end ML pipelines from data ingestion through model deployment and signal delivery Transform client specific Jupyter notebooks into modular, config driven pipelines using orchestration tools such as Prefect/Airflow Build robust API connectors handling schema evolution, incremental updates, and data quality validation Implement comprehensive machine learning model evaluation frameworks blending technical metrics (precision, recall, PRAUC, probability calibration) with business outcomes AutoML & Model Optimisation Develop AutoML capabilities optimised for time series behavioural data and subscription lifecycles Implement sophisticated feature engineering for event based data Design multi model systems handling various prediction horizons and conversion definitions Optimise hyperparameter tuning using frameworks like Optuna, AutoGluon, or H2O MLOps & Platform Engineering Establish MLOps practices appropriate for a small team: experiment tracking, model registry, and monitoring Collaborate with engineering on CI/CD pipelines, testing frameworks, and deployment automation Implement data quality monitoring and model drift detection systems Design for scalability: from a dozen customers today to 100+ within 12 months Technical Leadership Partner with the CTO on technical strategy and architecture decisions Work directly with client technical teams to understand data nuances and maximise predictive value Mentor junior data scientists through code review and pairing as the team growsCo create OKRs and a technical roadmap with the founding team The ideal candidate must have 5 8+ years building production ML systems with demonstrable business impact Strong experience with time series analysis and behavioural event modelling Deep expertise in Python with high code quality standards Experience with modern ML stack (e.g. pandas/polars, sklearn, xgboost, PyTorch/TensorFlow) Proven track record delivering end to end ML pipelines: ingestion feature engineering training deployment monitoring Hands on experience with cloud data warehouses (e.g. BigQuery, Snowflake) Track record of building automated, scalable systems from initial prototypes Right to Work in the UK (we cannot sponsor visas) Ability to work from Central London office 3 days/week (we believe in person collaboration is crucial at this early stage) You may be a great fit if you have any of the following AutoML framework experience (e.g. AutoGluon, TPOT, Optuna, H2O.ai) MLOps tooling (e.g. MLflow, Weights & Biases, Evidently) Hands on experience with orchestration tools (e.g. Prefect, Airflow, Dagster) Building robust API/ETL connectors with retry logic and incremental loading Statistical depth beyond standard metrics: calibration, cost sensitive learning, causal inference Passionate about leveraging the latest LLM tooling for accelerated AI enhanced delivery without compromising on quality Domain knowledge bonus points (beneficial but not required) Marketing attribution and conversion modelling Mobile app analytics and user lifecycle prediction Ad tech ecosystem and privacy regulations (ATT, GDPR) Subscription business metrics and retention modelling Our Interview Process We respect your time and move quickly. Application Review: We will look through your application (CV, screening questions, and code samples) to see if you meet the initial requirements for this role. Initial Screen (20 mins with CTO): Short video call to assess mutual fit and technical background. Practical Exercise (take home, up to 2 hours): We'll book you in for a 2 hour slot at any time. You will be given a real world modelling challenge that mirrors our work at Day30. Use any tools you'd use on the job (including LLMs, Copilot, etc) - we care about approach and outcomes, not memorisation. Technical Deep Dive (60 mins, in person): We will walk through your solution, discuss design and architecture decisions, consider alternative approaches, and work through live problem solving on solution extensions. Founder Conversation (30 mins): Meet both founders for us to understand your motivations and career goals, and for you to ask questions. We want to know that you'll be a great fit for our team, but we also want to help you achieve your goals too. Please ensure Workable is not included in your email spam filter. Compensation & Benefits Base Salary: Up to £95,000 per annum (depending on experience) Equity: Meaningful options as first technical hire Holidays: 25 days of annual paid leave, plus bank holidays. Flexibility: 3 days/week in Central London office, remote otherwise Equipment: Top spec MacBook Pro and any tools you need Learning Budget: Conferences, courses, and resources to stay current What Makes This Role Unique Founder Adjacent Position: Work directly with two second time founders, participating in strategic decisions beyond just ML. Your input will shape product direction and company culture. Technical Challenges: Solve genuinely hard problems in behavioural prediction, working with millions of events to predict conversions weeks in advance. Balance statistical rigour with business pragmatism. Immediate Impact: Your code ships to production quickly, directly affecting client performance. No layers of bureaucracy or months long deployment cycles. Growth Trajectory: As we scale, you'll have the opportunity to build and lead the data science function, defining best practices and mentoring the team.
09/06/2026
Full time
The Role in 30 Seconds First data scientist at a funded London startup (two founders with proven track record) Build ML systems that predict future mobile app conversions weeks in advance Own the entire ML stack with direct business impact What We Do Day30 helps subscription apps improve paid acquisition ROI by providing predictive signals to optimise ad spend. We connect directly to mobile measurement partners (MMPs) to analyse behavioural event data, build ML models that predict high value conversions weeks in advance, and deliver these predictions to advertising platforms without compromising user privacy. We're a two founder London startup combining deep expertise in performance marketing and machine learning. As our first data scientist, you'll be founder adjacent, working directly with our CEO and CTO to transform our current ML capabilities into a scalable, automated platform that will power hundreds of clients. This role offers rare technical autonomy: you'll work across the entire ML pipeline from data ingestion through production deployment, collaborate with the CTO and software engineers, and have direct input on all technical decisions. We're looking for someone who thrives on solving complex behavioural modelling problems and wants to see their work immediately impact real business outcomes. What You'll Do Core ML Pipeline Development Design and implement end to end ML pipelines from data ingestion through model deployment and signal delivery Transform client specific Jupyter notebooks into modular, config driven pipelines using orchestration tools such as Prefect/Airflow Build robust API connectors handling schema evolution, incremental updates, and data quality validation Implement comprehensive machine learning model evaluation frameworks blending technical metrics (precision, recall, PRAUC, probability calibration) with business outcomes AutoML & Model Optimisation Develop AutoML capabilities optimised for time series behavioural data and subscription lifecycles Implement sophisticated feature engineering for event based data Design multi model systems handling various prediction horizons and conversion definitions Optimise hyperparameter tuning using frameworks like Optuna, AutoGluon, or H2O MLOps & Platform Engineering Establish MLOps practices appropriate for a small team: experiment tracking, model registry, and monitoring Collaborate with engineering on CI/CD pipelines, testing frameworks, and deployment automation Implement data quality monitoring and model drift detection systems Design for scalability: from a dozen customers today to 100+ within 12 months Technical Leadership Partner with the CTO on technical strategy and architecture decisions Work directly with client technical teams to understand data nuances and maximise predictive value Mentor junior data scientists through code review and pairing as the team growsCo create OKRs and a technical roadmap with the founding team The ideal candidate must have 5 8+ years building production ML systems with demonstrable business impact Strong experience with time series analysis and behavioural event modelling Deep expertise in Python with high code quality standards Experience with modern ML stack (e.g. pandas/polars, sklearn, xgboost, PyTorch/TensorFlow) Proven track record delivering end to end ML pipelines: ingestion feature engineering training deployment monitoring Hands on experience with cloud data warehouses (e.g. BigQuery, Snowflake) Track record of building automated, scalable systems from initial prototypes Right to Work in the UK (we cannot sponsor visas) Ability to work from Central London office 3 days/week (we believe in person collaboration is crucial at this early stage) You may be a great fit if you have any of the following AutoML framework experience (e.g. AutoGluon, TPOT, Optuna, H2O.ai) MLOps tooling (e.g. MLflow, Weights & Biases, Evidently) Hands on experience with orchestration tools (e.g. Prefect, Airflow, Dagster) Building robust API/ETL connectors with retry logic and incremental loading Statistical depth beyond standard metrics: calibration, cost sensitive learning, causal inference Passionate about leveraging the latest LLM tooling for accelerated AI enhanced delivery without compromising on quality Domain knowledge bonus points (beneficial but not required) Marketing attribution and conversion modelling Mobile app analytics and user lifecycle prediction Ad tech ecosystem and privacy regulations (ATT, GDPR) Subscription business metrics and retention modelling Our Interview Process We respect your time and move quickly. Application Review: We will look through your application (CV, screening questions, and code samples) to see if you meet the initial requirements for this role. Initial Screen (20 mins with CTO): Short video call to assess mutual fit and technical background. Practical Exercise (take home, up to 2 hours): We'll book you in for a 2 hour slot at any time. You will be given a real world modelling challenge that mirrors our work at Day30. Use any tools you'd use on the job (including LLMs, Copilot, etc) - we care about approach and outcomes, not memorisation. Technical Deep Dive (60 mins, in person): We will walk through your solution, discuss design and architecture decisions, consider alternative approaches, and work through live problem solving on solution extensions. Founder Conversation (30 mins): Meet both founders for us to understand your motivations and career goals, and for you to ask questions. We want to know that you'll be a great fit for our team, but we also want to help you achieve your goals too. Please ensure Workable is not included in your email spam filter. Compensation & Benefits Base Salary: Up to £95,000 per annum (depending on experience) Equity: Meaningful options as first technical hire Holidays: 25 days of annual paid leave, plus bank holidays. Flexibility: 3 days/week in Central London office, remote otherwise Equipment: Top spec MacBook Pro and any tools you need Learning Budget: Conferences, courses, and resources to stay current What Makes This Role Unique Founder Adjacent Position: Work directly with two second time founders, participating in strategic decisions beyond just ML. Your input will shape product direction and company culture. Technical Challenges: Solve genuinely hard problems in behavioural prediction, working with millions of events to predict conversions weeks in advance. Balance statistical rigour with business pragmatism. Immediate Impact: Your code ships to production quickly, directly affecting client performance. No layers of bureaucracy or months long deployment cycles. Growth Trajectory: As we scale, you'll have the opportunity to build and lead the data science function, defining best practices and mentoring the team.
DAY30 seeks its first data scientist in Greater London to develop ML systems predicting app conversions. You'll have direct impact, working closely with the founders to build scalable solutions and deepen expertise in performance marketing and machine learning. This role offers extensive technical autonomy, core pipeline development, and the chance to mentor junior colleagues. Ideal candidates will have a strong ML background and the ability to work on-site 3 days a week while contributing to strategic decisions.
09/06/2026
Full time
DAY30 seeks its first data scientist in Greater London to develop ML systems predicting app conversions. You'll have direct impact, working closely with the founders to build scalable solutions and deepen expertise in performance marketing and machine learning. This role offers extensive technical autonomy, core pipeline development, and the chance to mentor junior colleagues. Ideal candidates will have a strong ML background and the ability to work on-site 3 days a week while contributing to strategic decisions.
Data Scientist Location: Hybrid (Belfast-based) Full-time Career development opportunity We're looking for a motivated Junior Data Scientist to join a growing AI Data team working on impactful, real-world machine learning solutions. This is an ideal role for someone with a solid foundation in Python and SQL, an interest in AI/ML frameworks, and a desire to contribute to innovative, data-driven decision-making. You'll collaborate closely with data scientists and stakeholders across the business to explore data, build and optimise models, and develop insights that inform strategic outcomes. From wrangling raw datasets to experimenting with ML techniques, you'll gain hands-on experience while learning best practices in a supportive, forward-thinking environment. This is a hands-on role where you'll grow fast, contribute meaningfully to projects, and gain exposure to a wide range of tools, including cloud-based AI/ML platforms. What you'll do: Support development and optimisation of ML models through EDA, feature engineering, and testing Assist with data labelling, wrangling, validation, and governance Collaborate with stakeholders to deliver analytical insights and AI-driven solutions Use Python, SQL, and cloud-based tools to support the full ML lifecycle Help maintain documentation and contribute to knowledge-sharing within the team What you'll bring: Experience in Data Science, or a related field Solid skills in Python and SQL for data manipulation and modelling Familiarity with ML libraries like Scikit-learn, PyTorch or TensorFlow Awareness of cloud platforms (Azure, AWS, or GCP) and data governance practices A strong analytical mindset, team spirit, and eagerness to learn from senior peers To speak in absolute confidence about this opportunity please contact Jess Ritchie, IT Recruitment Consultant at MCS Group or click the apply button below. If this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current jobs or give us a call . All conversations will be treated in the strictest of confidence. MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request.
09/06/2026
Full time
Data Scientist Location: Hybrid (Belfast-based) Full-time Career development opportunity We're looking for a motivated Junior Data Scientist to join a growing AI Data team working on impactful, real-world machine learning solutions. This is an ideal role for someone with a solid foundation in Python and SQL, an interest in AI/ML frameworks, and a desire to contribute to innovative, data-driven decision-making. You'll collaborate closely with data scientists and stakeholders across the business to explore data, build and optimise models, and develop insights that inform strategic outcomes. From wrangling raw datasets to experimenting with ML techniques, you'll gain hands-on experience while learning best practices in a supportive, forward-thinking environment. This is a hands-on role where you'll grow fast, contribute meaningfully to projects, and gain exposure to a wide range of tools, including cloud-based AI/ML platforms. What you'll do: Support development and optimisation of ML models through EDA, feature engineering, and testing Assist with data labelling, wrangling, validation, and governance Collaborate with stakeholders to deliver analytical insights and AI-driven solutions Use Python, SQL, and cloud-based tools to support the full ML lifecycle Help maintain documentation and contribute to knowledge-sharing within the team What you'll bring: Experience in Data Science, or a related field Solid skills in Python and SQL for data manipulation and modelling Familiarity with ML libraries like Scikit-learn, PyTorch or TensorFlow Awareness of cloud platforms (Azure, AWS, or GCP) and data governance practices A strong analytical mindset, team spirit, and eagerness to learn from senior peers To speak in absolute confidence about this opportunity please contact Jess Ritchie, IT Recruitment Consultant at MCS Group or click the apply button below. If this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current jobs or give us a call . All conversations will be treated in the strictest of confidence. MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request.
A workforce solutions provider in Mildenhall is seeking a qualified candidate with a Bachelor's degree in a relevant field. The role requires proficiency in Microsoft Office and data analysis for consulting and reporting tasks. Excellent communication skills, attention to detail, and organizational abilities are essential. Join us to contribute to government healthcare initiatives, providing transformative solutions for clients.
09/06/2026
Full time
A workforce solutions provider in Mildenhall is seeking a qualified candidate with a Bachelor's degree in a relevant field. The role requires proficiency in Microsoft Office and data analysis for consulting and reporting tasks. Excellent communication skills, attention to detail, and organizational abilities are essential. Join us to contribute to government healthcare initiatives, providing transformative solutions for clients.
Job Overview AI / ML Engineers build, evaluate, and deploy machine learning systems at scale. The day to day work combines data preprocessing, model training (PyTorch, TensorFlow), evaluation against business or research metrics, and production deployment (FastAPI, Triton, Ray) with monitoring. The role increasingly overlaps with MLOps (model deployment, monitoring, retraining infrastructure) and applied ML research, taking new techniques from papers to production. Generative AI (LLMs, diffusion models) is the most active area of UK ML hiring in . Responsibilities Train, evaluate, and deploy machine learning models in production. Work across LLMs, computer vision, recommender systems, and forecasting. Specialise into ML research, MLOps, applied ML, or generative AI. Work for UK AI labs (DeepMind, Anthropic), fintechs, scale ups, and major corporates. Skills & Qualifications Reading and implementing academic papers. Communication of complex technical concepts to non technical stakeholders. Rigorous experimental design and analysis. Comfortable with uncertainty and dead ends. Continuous learning across rapidly evolving methods. UK Salary Ranges UK AI / ML pay sits at the very top of the tech salary scale. London AI labs (DeepMind, OpenAI, Anthropic London, Cohere London) pay £100,000-£180,000 base + equity / RSU for new MSc / PhD graduates, totaling £150,000-£280,000. Top UK fintechs and scale ups (Monzo, Wise, OakNorth, Stripe UK) pay close to global rates for ML engineers. Mainstream UK corporates pay £55,000-£95,000. Typical Entry Routes PhD route (4-6 years): for research focused careers at AI labs (DeepMind, OpenAI, Anthropic). UK PhDs in ML / AI from Cambridge, Oxford, UCL, Edinburgh and Imperial are heavily recruited globally. Software engineering conversion (1-2 years): experienced software engineers regularly move into ML engineering via online courses, portfolio projects, and on the job specialisation. Global Talent visa: for published AI researchers, the UK Global Talent visa offers an alternative to the Skilled Worker scheme, endorsed by institutions such as The Alan Turing Institute or the Royal Society. Typical Career Path Junior ML Engineer / Applied Scientist - Build core ML engineering skills under senior guidance; run experiments, evaluate models, deploy small production features. ML Engineer / Applied Scientist - Own end to end ML projects from problem framing through to production deployment, specialising in a domain (NLP, vision, recommender systems, time series). Senior ML Engineer / Senior Scientist - Lead the technical design of major ML systems; mentor a small group of engineers / scientists and own cross team ML strategy. Staff / Principal ML Engineer - Set ML direction across multiple teams; drive applied research, model strategy and major system decisions; often the highest paying non management role at UK AI labs. Ready to start your AI / Machine Learning Engineer journey? Take the 60 second quiz and we'll match you to UK courses that lead to this career-checked against your eligibility, visa status and budget.
09/06/2026
Full time
Job Overview AI / ML Engineers build, evaluate, and deploy machine learning systems at scale. The day to day work combines data preprocessing, model training (PyTorch, TensorFlow), evaluation against business or research metrics, and production deployment (FastAPI, Triton, Ray) with monitoring. The role increasingly overlaps with MLOps (model deployment, monitoring, retraining infrastructure) and applied ML research, taking new techniques from papers to production. Generative AI (LLMs, diffusion models) is the most active area of UK ML hiring in . Responsibilities Train, evaluate, and deploy machine learning models in production. Work across LLMs, computer vision, recommender systems, and forecasting. Specialise into ML research, MLOps, applied ML, or generative AI. Work for UK AI labs (DeepMind, Anthropic), fintechs, scale ups, and major corporates. Skills & Qualifications Reading and implementing academic papers. Communication of complex technical concepts to non technical stakeholders. Rigorous experimental design and analysis. Comfortable with uncertainty and dead ends. Continuous learning across rapidly evolving methods. UK Salary Ranges UK AI / ML pay sits at the very top of the tech salary scale. London AI labs (DeepMind, OpenAI, Anthropic London, Cohere London) pay £100,000-£180,000 base + equity / RSU for new MSc / PhD graduates, totaling £150,000-£280,000. Top UK fintechs and scale ups (Monzo, Wise, OakNorth, Stripe UK) pay close to global rates for ML engineers. Mainstream UK corporates pay £55,000-£95,000. Typical Entry Routes PhD route (4-6 years): for research focused careers at AI labs (DeepMind, OpenAI, Anthropic). UK PhDs in ML / AI from Cambridge, Oxford, UCL, Edinburgh and Imperial are heavily recruited globally. Software engineering conversion (1-2 years): experienced software engineers regularly move into ML engineering via online courses, portfolio projects, and on the job specialisation. Global Talent visa: for published AI researchers, the UK Global Talent visa offers an alternative to the Skilled Worker scheme, endorsed by institutions such as The Alan Turing Institute or the Royal Society. Typical Career Path Junior ML Engineer / Applied Scientist - Build core ML engineering skills under senior guidance; run experiments, evaluate models, deploy small production features. ML Engineer / Applied Scientist - Own end to end ML projects from problem framing through to production deployment, specialising in a domain (NLP, vision, recommender systems, time series). Senior ML Engineer / Senior Scientist - Lead the technical design of major ML systems; mentor a small group of engineers / scientists and own cross team ML strategy. Staff / Principal ML Engineer - Set ML direction across multiple teams; drive applied research, model strategy and major system decisions; often the highest paying non management role at UK AI labs. Ready to start your AI / Machine Learning Engineer journey? Take the 60 second quiz and we'll match you to UK courses that lead to this career-checked against your eligibility, visa status and budget.
£100k Base + Bonus and a chance to lead a project in a skilled and growing team An exciting opportunity to work for a leading company with a significant presence globally as part of a growing London-based Data Science team. The company is known for their specialization in complex fields and they have built a reputation for using data science and analytics to improve not only their core business functions but also decision making across the whole organisation. The role You will be an integral part of a skilled technical team with a focus on leveraging data science to support a wide range of business functions. As a Principal Data Scientist, you will be responsible for leading the end to end delivery of their most complex and impactful data science processes as well as being a driver in defining and upholding the business' technical standards. Alongside the leadership of projects, you will also act as a mentor and coach for the growing team of junior and mid level data scientists, helping them to elevate the overall capability of the team around you. 8+ years of expertise in the fields of data science and machine learning Expert level Python programming with a focus on implementing diverse statistical and ML techniques Deep theoretical foundation in statistics, experimental design, and advanced modelling Proven track record of deploying end to end data science solutions into production Leadership and mentorship capabilities to elevate team performance and technical quality High level communication skills for effective stakeholder engagement and collaboration Cloud and modern tooling experience (e.g., AWS, Azure, GCP) is highly regarded Industry experience in finance or insurance is a plus, but not a requirement
09/06/2026
Full time
£100k Base + Bonus and a chance to lead a project in a skilled and growing team An exciting opportunity to work for a leading company with a significant presence globally as part of a growing London-based Data Science team. The company is known for their specialization in complex fields and they have built a reputation for using data science and analytics to improve not only their core business functions but also decision making across the whole organisation. The role You will be an integral part of a skilled technical team with a focus on leveraging data science to support a wide range of business functions. As a Principal Data Scientist, you will be responsible for leading the end to end delivery of their most complex and impactful data science processes as well as being a driver in defining and upholding the business' technical standards. Alongside the leadership of projects, you will also act as a mentor and coach for the growing team of junior and mid level data scientists, helping them to elevate the overall capability of the team around you. 8+ years of expertise in the fields of data science and machine learning Expert level Python programming with a focus on implementing diverse statistical and ML techniques Deep theoretical foundation in statistics, experimental design, and advanced modelling Proven track record of deploying end to end data science solutions into production Leadership and mentorship capabilities to elevate team performance and technical quality High level communication skills for effective stakeholder engagement and collaboration Cloud and modern tooling experience (e.g., AWS, Azure, GCP) is highly regarded Industry experience in finance or insurance is a plus, but not a requirement
£100k Base + Bonus and a chance to lead a project in a skilled and growing team An exciting opportunity to work for a leading company with a significant presence globally as part of a growing London-based Data Science team. The company is known for their specialization in complex fields and they have built a reputation for using data science and analytics to improve not only their core business functions but also decision making across the whole organisation. The role You will be an integral part of a skilled technical team with a focus on leveraging data science to support a wide range of business functions. As a Principal Data Scientist, you will be responsible for leading the end to end delivery of their most complex and impactful data science processes as well as being a driver in defining and upholding the business' technical standards. Alongside the leadership of projects, you will also act as a mentor and coach for the growing team of junior and mid level data scientists, helping them to elevate the overall capability of the team around you. 8+ years of expertise in the fields of data science and machine learning Expert level Python programming with a focus on implementing diverse statistical and ML techniques Deep theoretical foundation in statistics, experimental design, and advanced modelling Proven track record of deploying end to end data science solutions into production Leadership and mentorship capabilities to elevate team performance and technical quality High level communication skills for effective stakeholder engagement and collaboration Cloud and modern tooling experience (e.g., AWS, Azure, GCP) is highly regarded Industry experience in finance or insurance is a plus, but not a requirement
09/06/2026
Full time
£100k Base + Bonus and a chance to lead a project in a skilled and growing team An exciting opportunity to work for a leading company with a significant presence globally as part of a growing London-based Data Science team. The company is known for their specialization in complex fields and they have built a reputation for using data science and analytics to improve not only their core business functions but also decision making across the whole organisation. The role You will be an integral part of a skilled technical team with a focus on leveraging data science to support a wide range of business functions. As a Principal Data Scientist, you will be responsible for leading the end to end delivery of their most complex and impactful data science processes as well as being a driver in defining and upholding the business' technical standards. Alongside the leadership of projects, you will also act as a mentor and coach for the growing team of junior and mid level data scientists, helping them to elevate the overall capability of the team around you. 8+ years of expertise in the fields of data science and machine learning Expert level Python programming with a focus on implementing diverse statistical and ML techniques Deep theoretical foundation in statistics, experimental design, and advanced modelling Proven track record of deploying end to end data science solutions into production Leadership and mentorship capabilities to elevate team performance and technical quality High level communication skills for effective stakeholder engagement and collaboration Cloud and modern tooling experience (e.g., AWS, Azure, GCP) is highly regarded Industry experience in finance or insurance is a plus, but not a requirement
Job Title: C#/.NET Software Engineer Location:South Cambridgeshire Salary:Up to £70,000 Working Pattern: Hybrid2 days in office This is a brilliant opportunity for aC#/.NET engineer to join a fast-growingtechnology company whose software is used by scientists and engineers across the world. You'll be writing code that drives real machinesconnectinginstrumentation, automation systems, and digital workflows that power cutting-edge scientific processes. It's a genuinely hands-on role where your work has direct, visible impact. The Role You'll design and build high-quality software across desktop, embedded, and server environments, working alongside a talented team of architects, engineers, and product managers to deliver robust, user-focused solutions. You'll also contribute to architectural decisions and mentor junior developers. Requirements Strong C#/.NET development experience Strong knowledge of software design principles, testing and DevOps pipelines Experience building Windows applications with XAML Familiarity with IoT protocols such as MQTT and OPC/UA SQL databases and Linux OS experience Comfortable working with AI tools If this role is of interest, please apply below. JBRP1_UKTJ
09/06/2026
Full time
Job Title: C#/.NET Software Engineer Location:South Cambridgeshire Salary:Up to £70,000 Working Pattern: Hybrid2 days in office This is a brilliant opportunity for aC#/.NET engineer to join a fast-growingtechnology company whose software is used by scientists and engineers across the world. You'll be writing code that drives real machinesconnectinginstrumentation, automation systems, and digital workflows that power cutting-edge scientific processes. It's a genuinely hands-on role where your work has direct, visible impact. The Role You'll design and build high-quality software across desktop, embedded, and server environments, working alongside a talented team of architects, engineers, and product managers to deliver robust, user-focused solutions. You'll also contribute to architectural decisions and mentor junior developers. Requirements Strong C#/.NET development experience Strong knowledge of software design principles, testing and DevOps pipelines Experience building Windows applications with XAML Familiarity with IoT protocols such as MQTT and OPC/UA SQL databases and Linux OS experience Comfortable working with AI tools If this role is of interest, please apply below. JBRP1_UKTJ
Job Title: C#/.NET Software Engineer Location:South Cambridgeshire Salary:Up to £70,000 Working Pattern: Hybrid2 days in office This is a brilliant opportunity for aC#/.NET engineer to join a fast-growingtechnology company whose software is used by scientists and engineers across the world. You'll be writing code that drives real machinesconnectinginstrumentation, automation systems, and digital workflows that power cutting-edge scientific processes. It's a genuinely hands-on role where your work has direct, visible impact. The Role You'll design and build high-quality software across desktop, embedded, and server environments, working alongside a talented team of architects, engineers, and product managers to deliver robust, user-focused solutions. You'll also contribute to architectural decisions and mentor junior developers. Requirements Strong C#/.NET development experience Strong knowledge of software design principles, testing and DevOps pipelines Experience building Windows applications with XAML Familiarity with IoT protocols such as MQTT and OPC/UA SQL databases and Linux OS experience Comfortable working with AI tools If this role is of interest, please apply below. JBRP1_UKTJ
09/06/2026
Full time
Job Title: C#/.NET Software Engineer Location:South Cambridgeshire Salary:Up to £70,000 Working Pattern: Hybrid2 days in office This is a brilliant opportunity for aC#/.NET engineer to join a fast-growingtechnology company whose software is used by scientists and engineers across the world. You'll be writing code that drives real machinesconnectinginstrumentation, automation systems, and digital workflows that power cutting-edge scientific processes. It's a genuinely hands-on role where your work has direct, visible impact. The Role You'll design and build high-quality software across desktop, embedded, and server environments, working alongside a talented team of architects, engineers, and product managers to deliver robust, user-focused solutions. You'll also contribute to architectural decisions and mentor junior developers. Requirements Strong C#/.NET development experience Strong knowledge of software design principles, testing and DevOps pipelines Experience building Windows applications with XAML Familiarity with IoT protocols such as MQTT and OPC/UA SQL databases and Linux OS experience Comfortable working with AI tools If this role is of interest, please apply below. JBRP1_UKTJ
