Harnham - Data & Analytics Recruitment
Liverpool, Merseyside
Senior Credit Pricing Manager Liverpool (hybrid working) Salary up to £89,000 This is a senior opportunity to shape credit pricing strategy within a large-scale digital business that is investing heavily in analytics, data, and commercial decision-making. You will step into a newly formed function with clear executive sponsorship, genuine autonomy, and the chance to define how pricing supports sustainable growth and fair customer outcomes. The Company They are a major UK digital retailer with an integrated financial services proposition, operating at significant national scale. Their model combines ecommerce with flexible credit products, creating rich data across customer behaviour, risk, and lifetime value. Following recent investment, they are strengthening their analytics capability to drive more sophisticated commercial and pricing decisions. The Role You will lead credit pricing across customer acquisition and lifetime management, moving the function from a basic risk-led approach to a more commercially driven, analytically robust model. Key responsibilities include: Defining and delivering pricing strategies across credit products, balancing profitability, customer value, and regulatory requirements. Owning fair value and pricing governance, representing credit pricing in senior forums. Developing and overseeing pricing, forecasting, and valuation models including NPV, IRR, and risk-adjusted returns. Using experimentation and A/B testing to assess pricing changes and inform decision-making. Translating complex analysis into clear recommendations for senior stakeholders. Leading and developing a small team of analysts and data scientists. Partnering with product, engineering, and analytics teams to improve data quality, automation, and reporting. Your Skills and Experience Strong commercial experience within credit pricing, lending, or closely related financial services environments. A deep understanding of unit economics and customer lifetime value frameworks. Experience designing or interpreting pricing tests and experiments. Confident stakeholder management skills, with the ability to influence senior leaders. Proven people leadership or mentoring capability. A structured, first-principles approach to problem solving. Exposure to advanced analytics or modelling is beneficial, though this is not a hands-on coding role. What They Offer Hybrid working with flexibility on days in the office. The opportunity to build and lead a high-impact pricing function with clear progression. How to Apply If you are looking to lead credit pricing at scale and make a visible commercial impact, apply now to learn more about this opportunity.
May 17, 2026
Full time
Senior Credit Pricing Manager Liverpool (hybrid working) Salary up to £89,000 This is a senior opportunity to shape credit pricing strategy within a large-scale digital business that is investing heavily in analytics, data, and commercial decision-making. You will step into a newly formed function with clear executive sponsorship, genuine autonomy, and the chance to define how pricing supports sustainable growth and fair customer outcomes. The Company They are a major UK digital retailer with an integrated financial services proposition, operating at significant national scale. Their model combines ecommerce with flexible credit products, creating rich data across customer behaviour, risk, and lifetime value. Following recent investment, they are strengthening their analytics capability to drive more sophisticated commercial and pricing decisions. The Role You will lead credit pricing across customer acquisition and lifetime management, moving the function from a basic risk-led approach to a more commercially driven, analytically robust model. Key responsibilities include: Defining and delivering pricing strategies across credit products, balancing profitability, customer value, and regulatory requirements. Owning fair value and pricing governance, representing credit pricing in senior forums. Developing and overseeing pricing, forecasting, and valuation models including NPV, IRR, and risk-adjusted returns. Using experimentation and A/B testing to assess pricing changes and inform decision-making. Translating complex analysis into clear recommendations for senior stakeholders. Leading and developing a small team of analysts and data scientists. Partnering with product, engineering, and analytics teams to improve data quality, automation, and reporting. Your Skills and Experience Strong commercial experience within credit pricing, lending, or closely related financial services environments. A deep understanding of unit economics and customer lifetime value frameworks. Experience designing or interpreting pricing tests and experiments. Confident stakeholder management skills, with the ability to influence senior leaders. Proven people leadership or mentoring capability. A structured, first-principles approach to problem solving. Exposure to advanced analytics or modelling is beneficial, though this is not a hands-on coding role. What They Offer Hybrid working with flexibility on days in the office. The opportunity to build and lead a high-impact pricing function with clear progression. How to Apply If you are looking to lead credit pricing at scale and make a visible commercial impact, apply now to learn more about this opportunity.
Lead Data Scientist - Financial Crime (Consulting Environment) Salary: 90,000 - 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 ( 85,000 - 110,000) + 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.
May 17, 2026
Full time
Lead Data Scientist - Financial Crime (Consulting Environment) Salary: 90,000 - 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 ( 85,000 - 110,000) + 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.
Martin Veasey Talent Solutions
Northampton, Northamptonshire
Senior Machine Learning Data Scientist - Credit Risk 80,000- 120,000 + Bonus + Benefits (Flexibility to 150k DOE) East Midlands (Hybrid Min. 3 days) The Opportunity There are very few roles in the UK market where you can take ownership of a proven, production-grade credit risk model that is already outperforming competitors - and be given the autonomy to evolve it, refine it and directly influence commercial outcomes. This is one of them. This opportunity sits within a high-growth, data-driven financial services environment where machine learning is not theoretical or exploratory - it is embedded at the core of how the business makes decisions. At the centre of this capability is a highly accurate credit risk model, supported by rich, real-world datasets and a continuous feedback loop of internal and external lending outcomes. The model is already delivering strong predictive performance, but the real value lies in how it is developed from here. This opportunity represents a natural evolution of an already successful machine learning capability, offering the chance to take ownership of a proven model and shape its future direction. The Role This is a senior, hands-on data science role focused on credit risk modelling within a commercial lending environment. You will take ownership of the core modelling framework, working directly on probability of default models and broader decisioning logic that underpins lending strategy. The emphasis is on refinement, optimisation and continuous improvement rather than building from scratch. You will be responsible for the intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing recalibration Ensuring models remain robust in changing economic conditions You will not be responsible for infrastructure, pipelines or deployment. A dedicated engineering team manages AWS and production environments, allowing you to focus on modelling and analytics. This is a highly visible role with direct exposure to senior stakeholders. You will be expected to explain model performance, justify modelling decisions and translate technical outputs into clear commercial insight. The Environment This is a business that understands the value of data but is still at a stage where impact is direct and visible. There is: No large data science hierarchy No separation between thinking and execution No dilution of responsibility across multiple teams You will operate as the central subject matter expert within a collaborative technical environment, with the autonomy to influence both modelling direction and commercial outcomes. Over time, there is a clear pathway to build out a team and evolve into a leadership role. However, the immediate focus is on hands-on ownership and delivery. What This Role Is Not This role will not suit individuals who: Have moved fully into leadership and no longer build models themselves Prefer purely strategic or advisory positions without technical ownership Are focused on infrastructure, MLOps or engineering rather than modelling Want a large team or established function around them from day one This is a role for someone who wants to remain close to the detail and take responsibility for outcomes. The Ideal Profile You are a hands-on machine learning data scientist with deep experience in credit risk modelling. You are currently building, refining and optimising models yourself, not delegating that work. You are likely to have developed your career within: SME lending, fintech or banking environments Credit risk, underwriting or decision science functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial or behavioural datasets You understand how your work impacts: Approval rates Default risk Commercial performance You are comfortable discussing modelling decisions in depth with technical stakeholders, but equally able to simplify complex concepts for non-technical audiences. Qualifications You will typically have a strong academic foundation in a quantitative discipline such as Mathematics, Statistics, Data Science, Engineering, Physics or a closely related field. Many candidates at this level will hold a Master's degree or equivalent advanced qualification, although this is not essential where there is clear evidence of deep practical expertise in credit risk modelling and machine learning. What is critical is a strong grounding in mathematical thinking, statistical modelling and problem solving, combined with the ability to apply that knowledge in a commercial environment. Why This Role Stands Out Ownership of a high-performing, production-grade credit risk model Access to rich, real-world data with continuous feedback loops Direct influence on lending decisions and commercial performance Strong engineering support, allowing full focus on modelling High visibility with senior leadership Clear pathway to future Head of AI / Machine Learning role Opportunity to shape the next phase of a proven data capability Package & Flexibility 80,000- 120,000 base salary Bonus up to 15% Flexibility to 150,000 for exceptional candidates Hybrid working (East Midlands, typically 2-3 days onsite with flexibility)
May 17, 2026
Full time
Senior Machine Learning Data Scientist - Credit Risk 80,000- 120,000 + Bonus + Benefits (Flexibility to 150k DOE) East Midlands (Hybrid Min. 3 days) The Opportunity There are very few roles in the UK market where you can take ownership of a proven, production-grade credit risk model that is already outperforming competitors - and be given the autonomy to evolve it, refine it and directly influence commercial outcomes. This is one of them. This opportunity sits within a high-growth, data-driven financial services environment where machine learning is not theoretical or exploratory - it is embedded at the core of how the business makes decisions. At the centre of this capability is a highly accurate credit risk model, supported by rich, real-world datasets and a continuous feedback loop of internal and external lending outcomes. The model is already delivering strong predictive performance, but the real value lies in how it is developed from here. This opportunity represents a natural evolution of an already successful machine learning capability, offering the chance to take ownership of a proven model and shape its future direction. The Role This is a senior, hands-on data science role focused on credit risk modelling within a commercial lending environment. You will take ownership of the core modelling framework, working directly on probability of default models and broader decisioning logic that underpins lending strategy. The emphasis is on refinement, optimisation and continuous improvement rather than building from scratch. You will be responsible for the intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing recalibration Ensuring models remain robust in changing economic conditions You will not be responsible for infrastructure, pipelines or deployment. A dedicated engineering team manages AWS and production environments, allowing you to focus on modelling and analytics. This is a highly visible role with direct exposure to senior stakeholders. You will be expected to explain model performance, justify modelling decisions and translate technical outputs into clear commercial insight. The Environment This is a business that understands the value of data but is still at a stage where impact is direct and visible. There is: No large data science hierarchy No separation between thinking and execution No dilution of responsibility across multiple teams You will operate as the central subject matter expert within a collaborative technical environment, with the autonomy to influence both modelling direction and commercial outcomes. Over time, there is a clear pathway to build out a team and evolve into a leadership role. However, the immediate focus is on hands-on ownership and delivery. What This Role Is Not This role will not suit individuals who: Have moved fully into leadership and no longer build models themselves Prefer purely strategic or advisory positions without technical ownership Are focused on infrastructure, MLOps or engineering rather than modelling Want a large team or established function around them from day one This is a role for someone who wants to remain close to the detail and take responsibility for outcomes. The Ideal Profile You are a hands-on machine learning data scientist with deep experience in credit risk modelling. You are currently building, refining and optimising models yourself, not delegating that work. You are likely to have developed your career within: SME lending, fintech or banking environments Credit risk, underwriting or decision science functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial or behavioural datasets You understand how your work impacts: Approval rates Default risk Commercial performance You are comfortable discussing modelling decisions in depth with technical stakeholders, but equally able to simplify complex concepts for non-technical audiences. Qualifications You will typically have a strong academic foundation in a quantitative discipline such as Mathematics, Statistics, Data Science, Engineering, Physics or a closely related field. Many candidates at this level will hold a Master's degree or equivalent advanced qualification, although this is not essential where there is clear evidence of deep practical expertise in credit risk modelling and machine learning. What is critical is a strong grounding in mathematical thinking, statistical modelling and problem solving, combined with the ability to apply that knowledge in a commercial environment. Why This Role Stands Out Ownership of a high-performing, production-grade credit risk model Access to rich, real-world data with continuous feedback loops Direct influence on lending decisions and commercial performance Strong engineering support, allowing full focus on modelling High visibility with senior leadership Clear pathway to future Head of AI / Machine Learning role Opportunity to shape the next phase of a proven data capability Package & Flexibility 80,000- 120,000 base salary Bonus up to 15% Flexibility to 150,000 for exceptional candidates Hybrid working (East Midlands, typically 2-3 days onsite with flexibility)
DevOps Engineer Senior or Mid Level Role: DevOps Engineer or Senior DevOps Engineer (Flexible Seniority) Security Clearance: Current DV Clearance Required (eDV Eligibility Essential) Location: Central London (Hybrid - Maximum 3 days in office) Salary: 50,000 - 85,000 (D.O.E) I am currently partnering with an elite technical consultancy that operates at the mission-critical intersection of AI, Data Science, and National Security . My client is looking for a DV-cleared DevOps specialist to join a division dedicated to solving high-stakes challenges that drive genuine societal change. This is a rare opportunity for a cleared professional to step out of "legacy" environments and work with a modern tech stack-including AI infrastructure and cloud-native automation -within a culture that offers a maximum 3-day office presence. The Choice is Yours: Engineer or Senior? My client prioritizes the right mindset and clearance level over a specific number of years on a CV. They are open to meeting candidates at two levels: Engineer ( 50k - 65k): You'll be the engine room of the deployment cycle-building robust CI/CD pipelines, automating AWS environments, and ensuring high-availability for complex AI solutions. Senior Engineer ( 65k - 85k): You will take a "player-coach" approach-architecting bespoke infrastructure, mentoring rising talent, and challenging existing orthodoxies to shape the firm's long-term engineering roadmap. The Tech Challenge Working in highly collaborative, cleared squads alongside Software Engineers and Data Scientists, you will: Automate AI Workflows: Design and deploy infrastructure for AI and Machine Learning solutions tailored for secure, restricted client environments. Scale AWS Environments: Leverage Terraform, Kubernetes, and GitOps to manage complex, highly-restricted infrastructures. Drive Operational Excellence: Act as the pivotal link between technical delivery and mission-critical requirements, ensuring solutions are robust, compliant, and cutting-edge. What You'll Bring To be successful in this process, you will need: Clearance: You must currently hold DV Clearance and be eligible for eDV . Technical Foundations: Proven experience with AWS, Docker, and Git. Infrastructure as Code: A solid grip on Terraform and/or Kubernetes. Agile Mindset: You thrive in fast-paced environments and can navigate change effectively. Software Awareness: Knowledge of the dev lifecycle (TypeScript, Node.js, or SQL) is a major advantage. Apply now for a confidential discussion regarding the role, the client, and their 2026 project roadmap.
May 17, 2026
Full time
DevOps Engineer Senior or Mid Level Role: DevOps Engineer or Senior DevOps Engineer (Flexible Seniority) Security Clearance: Current DV Clearance Required (eDV Eligibility Essential) Location: Central London (Hybrid - Maximum 3 days in office) Salary: 50,000 - 85,000 (D.O.E) I am currently partnering with an elite technical consultancy that operates at the mission-critical intersection of AI, Data Science, and National Security . My client is looking for a DV-cleared DevOps specialist to join a division dedicated to solving high-stakes challenges that drive genuine societal change. This is a rare opportunity for a cleared professional to step out of "legacy" environments and work with a modern tech stack-including AI infrastructure and cloud-native automation -within a culture that offers a maximum 3-day office presence. The Choice is Yours: Engineer or Senior? My client prioritizes the right mindset and clearance level over a specific number of years on a CV. They are open to meeting candidates at two levels: Engineer ( 50k - 65k): You'll be the engine room of the deployment cycle-building robust CI/CD pipelines, automating AWS environments, and ensuring high-availability for complex AI solutions. Senior Engineer ( 65k - 85k): You will take a "player-coach" approach-architecting bespoke infrastructure, mentoring rising talent, and challenging existing orthodoxies to shape the firm's long-term engineering roadmap. The Tech Challenge Working in highly collaborative, cleared squads alongside Software Engineers and Data Scientists, you will: Automate AI Workflows: Design and deploy infrastructure for AI and Machine Learning solutions tailored for secure, restricted client environments. Scale AWS Environments: Leverage Terraform, Kubernetes, and GitOps to manage complex, highly-restricted infrastructures. Drive Operational Excellence: Act as the pivotal link between technical delivery and mission-critical requirements, ensuring solutions are robust, compliant, and cutting-edge. What You'll Bring To be successful in this process, you will need: Clearance: You must currently hold DV Clearance and be eligible for eDV . Technical Foundations: Proven experience with AWS, Docker, and Git. Infrastructure as Code: A solid grip on Terraform and/or Kubernetes. Agile Mindset: You thrive in fast-paced environments and can navigate change effectively. Software Awareness: Knowledge of the dev lifecycle (TypeScript, Node.js, or SQL) is a major advantage. Apply now for a confidential discussion regarding the role, the client, and their 2026 project roadmap.
AI Security Engineer Location: UK (Hybrid / Flexible Working) Level: Senior Sector: Financial Services We are working with a large, highly regulated financial organisation that is investing heavily in AI, cloud and next-generation security. They are looking to appoint an AI Security Engineer to help design, deliver and evolve security solutions that protect complex systems and sensitive data at scale. This role sits within a central security function responsible for safeguarding innovation, including GenAI and advanced data platforms and plays a critical part in shaping secure-by-design engineering across the business. The Role As an AI Security Engineer, you'll provide technical leadership and hands-on engineering across security architecture, cryptography, IAM and cloud-native platforms. You'll work closely with engineers, data scientists and security stakeholders to embed strong controls while enabling innovation. Key responsibilities include: Acting as a subject matter expert on security engineering patterns and best practice Designing and implementing solutions to protect systems, APIs and sensitive data Performing security audits, vulnerability assessments and supporting incident response Driving the adoption of modern cryptographic technologies and techniques Developing, implementing and maintaining Identity & Access Management (IAM) solutions Ensuring security controls align with regulatory requirements and business objectives Influencing stakeholders and contributing to security policy, governance and risk mitigation Skills & Experience Required Strong programming and scripting skills (Python and Bash essential) Solid experience with cloud platforms - AWS and/or Azure Strong understanding of API development and security Experience designing or implementing security controls in complex environments Knowledge of, or strong interest in, data science and AI-driven systems Comfortable operating in regulated, enterprise-scale environments Able to communicate complex and sensitive technical topics to senior stakeholders Why Apply? Work on cutting-edge AI and GenAI security challenges Influence security strategy within a large-scale, enterprise environment High-impact role with strong visibility across engineering and leadership teams Flexible working arrangements and a strong culture of collaboration Competitive compensation and long-term career development
May 17, 2026
Full time
AI Security Engineer Location: UK (Hybrid / Flexible Working) Level: Senior Sector: Financial Services We are working with a large, highly regulated financial organisation that is investing heavily in AI, cloud and next-generation security. They are looking to appoint an AI Security Engineer to help design, deliver and evolve security solutions that protect complex systems and sensitive data at scale. This role sits within a central security function responsible for safeguarding innovation, including GenAI and advanced data platforms and plays a critical part in shaping secure-by-design engineering across the business. The Role As an AI Security Engineer, you'll provide technical leadership and hands-on engineering across security architecture, cryptography, IAM and cloud-native platforms. You'll work closely with engineers, data scientists and security stakeholders to embed strong controls while enabling innovation. Key responsibilities include: Acting as a subject matter expert on security engineering patterns and best practice Designing and implementing solutions to protect systems, APIs and sensitive data Performing security audits, vulnerability assessments and supporting incident response Driving the adoption of modern cryptographic technologies and techniques Developing, implementing and maintaining Identity & Access Management (IAM) solutions Ensuring security controls align with regulatory requirements and business objectives Influencing stakeholders and contributing to security policy, governance and risk mitigation Skills & Experience Required Strong programming and scripting skills (Python and Bash essential) Solid experience with cloud platforms - AWS and/or Azure Strong understanding of API development and security Experience designing or implementing security controls in complex environments Knowledge of, or strong interest in, data science and AI-driven systems Comfortable operating in regulated, enterprise-scale environments Able to communicate complex and sensitive technical topics to senior stakeholders Why Apply? Work on cutting-edge AI and GenAI security challenges Influence security strategy within a large-scale, enterprise environment High-impact role with strong visibility across engineering and leadership teams Flexible working arrangements and a strong culture of collaboration Competitive compensation and long-term career development
Role: ML Lead Type: 12 Months Contract Location: London, UK Working Model: Hybrid (2 days per week in office) Payrate: (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: We are seeking an ML Lead to manage our team and spearhead the design and deployment of cutting-edge Agentic Systems and LLM applications. Key Responsibilities: Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders. LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using PEFT techniques like LoRA. Data Engineering: Design and maintain robust ETL/ELT pipelines to process structured and unstructured data. MLOps & Infrastructure: Automate CI/CD pipelines, manage cloud/container infrastructure (Docker, Kubernetes), and oversee secure model deployment and performance monitoring. Responsible AI: Build trustworthy AI systems with quantifiable metrics for fairness, explainability, and compliance. This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
May 17, 2026
Contractor
Role: ML Lead Type: 12 Months Contract Location: London, UK Working Model: Hybrid (2 days per week in office) Payrate: (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: We are seeking an ML Lead to manage our team and spearhead the design and deployment of cutting-edge Agentic Systems and LLM applications. Key Responsibilities: Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders. LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using PEFT techniques like LoRA. Data Engineering: Design and maintain robust ETL/ELT pipelines to process structured and unstructured data. MLOps & Infrastructure: Automate CI/CD pipelines, manage cloud/container infrastructure (Docker, Kubernetes), and oversee secure model deployment and performance monitoring. Responsible AI: Build trustworthy AI systems with quantifiable metrics for fairness, explainability, and compliance. This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
PR manager Location: Contracted to our Peterborough office with the flexibility for hybrid working Contract Type: Permanent Full time: 37.5 hours per week Salary: £36,000 - £40,000 depending on experience Benefits: We want all our employees to feel valued and engaged and are committed to offering a positive working culture along with a good work-life balance. As well as ensuring we pay our employees fairly, we offer the following benefits: Flexible working, Generous annual leave, Private Medical Insurance, including dental and optical, Pension Scheme, Sick Pay, Death in Service, Employee Assistance Programme, Bike Loan Scheme, Cycle2Work Scheme, Eyecare, Discount Portal. Closing date: Monday 1 June 2026 Interviews will be held Tuesday 16 June in our office in Peterborough No agencies please Be a part of an energetic and vibrant team who are driven by the desire to improve the lives of people living with kidney disease. Our vision is the day when everyone lives free from kidney disease. Kidney disease affects one in ten people in the UK, yet it still doesn t get the attention it deserves. At Kidney Research UK we are determined to change that. In this newly created role, we are looking for an experienced PR manager to help us significantly grow our media reach. You ll lead our press office and storytelling function and shape and deliver coverage that raises the profile of the charity and shows the reality, urgency and impact of kidney disease on patients and their families. You ll have a strong track record in press or media relations, excellent writing skills and the judgement to operate confidently and at pace. You ll be the first point of contact in the press office, with ability to spot a news story and the credibility to build lasting relationships with journalists. You ll also oversee our storytelling function, ensuring patient and supporter stories are handled with care and the right consent, safeguarding and data processes are in place. Working closely with fundraising, policy, research teams and colleagues in the marketing and communication team, you ll ensure PR plays a central role in our strategic priorities and campaigns. If you re ready to make kidney disease impossible to ignore, we d love to hear from you. If you are interested in the position, please complete the online application form and submit together with your CV. We are committed to providing equal opportunities for everyone and encourage applications from all sections of the community. About Kidney Research UK: Kidney Research UK is the leading charity in the UK focused on funding research into the prevention, treatment and management of kidney disease. Our vision is the day when everyone lives free from kidney disease and for more than 60 years the research, we fund has been making an impact. But kidney disease is increasing as are the factors contributing to it, such as diabetes, cardiovascular disease and obesity, making our work more essential than ever. At Kidney Research UK we work with clinicians and scientists across the UK, funding and facilitating research into all areas of kidney disease. We collaborate with partners across the public, private and third sectors to prevent kidney disease and drive innovation to transform treatments. Over the last ten years we have invested more than £71 million into research. We lobby governments and decision makers to change policy and practice to ensure that the estimated 7.2 million people living with all stages of kidney disease in the UK have access to the most effective care and treatment, and to make kidney disease a priority. Most importantly, we also work closely with patients, ensuring their voice is heard and is at the centre of everything we do, from deciding which research to invest in to how we plan our priorities and our work across the charity. Those patient contributions are vital, always helping us and our partners to understand what life is like with kidney disease, always ensuring we see the patient behind the treatment and always reminding us that behind every statistic and every number is a person the patients and the carers who inspire our mission and push us forward to make a difference and change the future of kidney disease. You may have experience of the following: PR Manager, Communications Manager, Corporate Communications Manager, External Communications Manager, Media Relations Manager, Digital PR, Social media strategy, Public Relations, Press Office, Charity, Charities, Third Sector, Not for Profit, NFP, etc. REF-(Apply online only)
May 16, 2026
Full time
PR manager Location: Contracted to our Peterborough office with the flexibility for hybrid working Contract Type: Permanent Full time: 37.5 hours per week Salary: £36,000 - £40,000 depending on experience Benefits: We want all our employees to feel valued and engaged and are committed to offering a positive working culture along with a good work-life balance. As well as ensuring we pay our employees fairly, we offer the following benefits: Flexible working, Generous annual leave, Private Medical Insurance, including dental and optical, Pension Scheme, Sick Pay, Death in Service, Employee Assistance Programme, Bike Loan Scheme, Cycle2Work Scheme, Eyecare, Discount Portal. Closing date: Monday 1 June 2026 Interviews will be held Tuesday 16 June in our office in Peterborough No agencies please Be a part of an energetic and vibrant team who are driven by the desire to improve the lives of people living with kidney disease. Our vision is the day when everyone lives free from kidney disease. Kidney disease affects one in ten people in the UK, yet it still doesn t get the attention it deserves. At Kidney Research UK we are determined to change that. In this newly created role, we are looking for an experienced PR manager to help us significantly grow our media reach. You ll lead our press office and storytelling function and shape and deliver coverage that raises the profile of the charity and shows the reality, urgency and impact of kidney disease on patients and their families. You ll have a strong track record in press or media relations, excellent writing skills and the judgement to operate confidently and at pace. You ll be the first point of contact in the press office, with ability to spot a news story and the credibility to build lasting relationships with journalists. You ll also oversee our storytelling function, ensuring patient and supporter stories are handled with care and the right consent, safeguarding and data processes are in place. Working closely with fundraising, policy, research teams and colleagues in the marketing and communication team, you ll ensure PR plays a central role in our strategic priorities and campaigns. If you re ready to make kidney disease impossible to ignore, we d love to hear from you. If you are interested in the position, please complete the online application form and submit together with your CV. We are committed to providing equal opportunities for everyone and encourage applications from all sections of the community. About Kidney Research UK: Kidney Research UK is the leading charity in the UK focused on funding research into the prevention, treatment and management of kidney disease. Our vision is the day when everyone lives free from kidney disease and for more than 60 years the research, we fund has been making an impact. But kidney disease is increasing as are the factors contributing to it, such as diabetes, cardiovascular disease and obesity, making our work more essential than ever. At Kidney Research UK we work with clinicians and scientists across the UK, funding and facilitating research into all areas of kidney disease. We collaborate with partners across the public, private and third sectors to prevent kidney disease and drive innovation to transform treatments. Over the last ten years we have invested more than £71 million into research. We lobby governments and decision makers to change policy and practice to ensure that the estimated 7.2 million people living with all stages of kidney disease in the UK have access to the most effective care and treatment, and to make kidney disease a priority. Most importantly, we also work closely with patients, ensuring their voice is heard and is at the centre of everything we do, from deciding which research to invest in to how we plan our priorities and our work across the charity. Those patient contributions are vital, always helping us and our partners to understand what life is like with kidney disease, always ensuring we see the patient behind the treatment and always reminding us that behind every statistic and every number is a person the patients and the carers who inspire our mission and push us forward to make a difference and change the future of kidney disease. You may have experience of the following: PR Manager, Communications Manager, Corporate Communications Manager, External Communications Manager, Media Relations Manager, Digital PR, Social media strategy, Public Relations, Press Office, Charity, Charities, Third Sector, Not for Profit, NFP, etc. REF-(Apply online only)
Job Title: C#/.NET Software Engineer Location: South Cambridgeshire Salary: Up to 70,000 Working Pattern: Hybrid 2 days in office This is a brilliant opportunity for aC#/.NET engineer to join a fast-growing technology company whose software is used by scientists and engineers across the world. You'll be writing code that drives real machines connecting instrumentation, 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.
May 16, 2026
Full time
Job Title: C#/.NET Software Engineer Location: South Cambridgeshire Salary: Up to 70,000 Working Pattern: Hybrid 2 days in office This is a brilliant opportunity for aC#/.NET engineer to join a fast-growing technology company whose software is used by scientists and engineers across the world. You'll be writing code that drives real machines connecting instrumentation, 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.
Overview We are looking for a skilled Data Engineer with strong experience in Snowflake to join our growing data team. You will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support analytics, reporting, and data-driven decision-making across the organization. 6 months initial contract (OUTSIDE IR35) Remote with occasional travel into London (1 day per month) Key Responsibilities Design, develop, and maintain robust data pipelines and ETL/ELT processes Build and optimize data models within Snowflake for performance and scalability Ingest data from various sources (APIs, databases, streaming platforms, etc.) Ensure data quality, integrity, and governance across systems Collaborate with data analysts, scientists, and business stakeholders to deliver data solutions Monitor and troubleshoot data workflows and pipeline performance Implement best practices for data security, privacy, and compliance Document data architecture, processes, and workflows Required Skills & Experience Proven experience as a Data Engineer or in a similar role Strong hands-on experience with Snowflake data platform Proficiency in SQL and data modeling techniques Experience with ETL/ELT tools (e.g., dbt, Apache Airflow, Talend, Informatica) Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with data warehousing concepts and best practices Understanding of data governance and data quality principles Preferred Qualifications Experience with modern data stack tools (e.g., dbt, Fivetran, Kafka) Knowledge of CI/CD pipelines and DevOps practices Experience working with large-scale or real-time data processing systems Familiarity with BI tools (e.g., Power BI, Tableau, Looker) Snowflake certification is a plus
May 16, 2026
Contractor
Overview We are looking for a skilled Data Engineer with strong experience in Snowflake to join our growing data team. You will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support analytics, reporting, and data-driven decision-making across the organization. 6 months initial contract (OUTSIDE IR35) Remote with occasional travel into London (1 day per month) Key Responsibilities Design, develop, and maintain robust data pipelines and ETL/ELT processes Build and optimize data models within Snowflake for performance and scalability Ingest data from various sources (APIs, databases, streaming platforms, etc.) Ensure data quality, integrity, and governance across systems Collaborate with data analysts, scientists, and business stakeholders to deliver data solutions Monitor and troubleshoot data workflows and pipeline performance Implement best practices for data security, privacy, and compliance Document data architecture, processes, and workflows Required Skills & Experience Proven experience as a Data Engineer or in a similar role Strong hands-on experience with Snowflake data platform Proficiency in SQL and data modeling techniques Experience with ETL/ELT tools (e.g., dbt, Apache Airflow, Talend, Informatica) Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with data warehousing concepts and best practices Understanding of data governance and data quality principles Preferred Qualifications Experience with modern data stack tools (e.g., dbt, Fivetran, Kafka) Knowledge of CI/CD pipelines and DevOps practices Experience working with large-scale or real-time data processing systems Familiarity with BI tools (e.g., Power BI, Tableau, Looker) Snowflake certification is a plus
My client based just outside Manchester are looking for 2 x Python Developers with good SQL skills. 6 month contract, immediate starts, Outside IR35, 2 days a week in office. Key requirements 3+ years of Python in production environments Strong AWS experience across core services Strong SQL skills for querying, transformation, and optimisation Experience with Apache Spark or serverless architectures Core responsibilities and skills Build and maintain real-time and batch ETL pipelines using Python on large, complex datasets Write clean, scalable Python code for data ingestion, transformation, and processing Design and optimise SQL queries for performance, cost, and reliability across large data volumes Model and transform data into well-structured, reusable datasets for downstream use Work with distributed data processing tools such as Apache Spark to handle high-volume workloads Improve existing pipelines by identifying bottlenecks and refactoring code and queries Develop and maintain data workflows, scheduling, and orchestration processes Provision and manage AWS infrastructure using Infrastructure as Code tools such as Terraform or CloudFormation Work with services such as S3, Lambda, and other serverless components to build scalable data solutions Collaborate with analysts, data scientists, and engineers to deliver high-quality data products Follow Agile practices with a focus on continuous integration, testing, and code quality Use modern tooling, including AI-assisted development, to improve productivity and output
May 16, 2026
Contractor
My client based just outside Manchester are looking for 2 x Python Developers with good SQL skills. 6 month contract, immediate starts, Outside IR35, 2 days a week in office. Key requirements 3+ years of Python in production environments Strong AWS experience across core services Strong SQL skills for querying, transformation, and optimisation Experience with Apache Spark or serverless architectures Core responsibilities and skills Build and maintain real-time and batch ETL pipelines using Python on large, complex datasets Write clean, scalable Python code for data ingestion, transformation, and processing Design and optimise SQL queries for performance, cost, and reliability across large data volumes Model and transform data into well-structured, reusable datasets for downstream use Work with distributed data processing tools such as Apache Spark to handle high-volume workloads Improve existing pipelines by identifying bottlenecks and refactoring code and queries Develop and maintain data workflows, scheduling, and orchestration processes Provision and manage AWS infrastructure using Infrastructure as Code tools such as Terraform or CloudFormation Work with services such as S3, Lambda, and other serverless components to build scalable data solutions Collaborate with analysts, data scientists, and engineers to deliver high-quality data products Follow Agile practices with a focus on continuous integration, testing, and code quality Use modern tooling, including AI-assisted development, to improve productivity and output
Sales Executive I page is loaded Sales Executive Ilocations: HOME UNITED KINGDOMtime type: Full timeposted on: Posted 24 Days Agojob requisition id: R53875 At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. OpenEye, Cadence Molecular Sciences - a division of Cadence Design Systems - is an industry leader in computational molecular design through rapid, robust, and scalable software, consulting services, and Orion(R), the only cloud-native fully integrated software-as-a-service molecular modeling platform. Combining unlimited computation and storage with powerful tools for data sharing, visualization and analysis in a customizable development platform, Orion offers unprecedented capabilities for the advancement of pharmaceuticals, biologics, agrochemicals, and flavors and fragrances. OpenEye, Cadence Molecular Sciences is headquartered in Santa Fe, N.M., with offices in Boston, Mass.; Cologne, Germany; and Yokohama, Japan . At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Title: Sales Executive I Location: United Kingdom (remote) Reports to: Group Director, Scientific Sales Job Overview: Sales Executive to join our fun-loving and unique commercial team to help build our rapidly growing business.You will utilise your technical knowledge, deep insight of the customer and broader industry knowledge to maximise and monetize the value of the OpenEye solutions, selling leading-edge software for computational chemistry, molecular design, and cloud-based scientific computation. You will develop and maintain open and honest relationships with current and prospective customers to maximize long-term revenue through selling of OpenEye solutions. You will need to rely on your relationships, knowledge, and superior communication skills to connect with business and technology customer stakeholders, identify critical customer challenges and gain buy-in to drive new business. Job Responsibilities: Maintain a good understanding of the OpenEye product line, research pipeline, vision, and philosophy. Communicate OpenEye knowledge to customers. Spend time interacting with current and prospective customers through video, phone, email, and site visits to optimally generate both maintenance revenue and new sales. Manage complex sales cycles including successful contract negotiations, involving high TCV greater than $2M. Help OpenEye grow in the existing market and establish new markets. Coordinate regional activities including software evaluations with application scientists and technology specialists. Work closely with colleagues in sales on global accounts. Generate and send new and renewal quotes; create, track, and update sales opportunities and information within SalesForce or other software systems. Provide territory financial updates as needed for senior management. Work with application scientists to develop and implement a regional plan to achieve sales growth. Attend scientific conferences representing OpenEye. Attend company and sales group meetings in the US. Travel to customer sites and internal meetings. Work with the marketing group; including conferences, event planning and execution. Collaborate with OpenEye colleagues and problem-solve as necessary to overcome sales obstacles. Job Qualifications: Bachelor's degree or greater in a scientific area, with a strong preference for chemistry or biology. 10+ years of successful experience selling either software, services, or instrumentation into the drug discovery market. Must have ability to call "high" (Executive Management) and help drive multi-million-dollar, complex sales campaigns with multiple decision makers and influencers across the customer organization. Deep understanding of the drug discovery market relevant to the customer ecosystem. The ability to foster and grow customer relationships throughout all levels of the customer organization to better connect our solutions with the customer's problems/business challenges and ensure roadmap alignment for long term success. A proven track-record demonstrating ability to identify and understand customer pain-points and the ability to communicate this to a broad range of technical and non-technical persons. Knowledge and demonstration of the ability to manage the complete sales process, strong communication skills, and the ability to interact with scientific and financial staff at all levels. A track record successfully managing multiple priorities, working with, and managing cross functional teams, and driving results as evidenced by overachievement of sales goals. Ability to meet deadlines, prioritize and plan. Ability to work independently, but also cooperatively with staff inside and outside of OpenEye. Excellent written and verbal skills. Additional Information: Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace. Travel You will interact with Customers in the UK and Europe. Employment is remote, with a strong preference for applicants that live in the Southeast of England (London/Cambridge/Oxford triangle). This position requires travel of up to 50%. We're doing work that matters. Help us solve what others can't. Equal Employment Opportunity Policy: Cadence is committed to equal employment opportunity throughout all levels of the organization.We welcome your interest in the company and want to make sure our job site is accessible to all. If you experience difficulty using this site or to request a reasonable accommodation, please contact . Privacy Policy: Job Applicant If you are a job seeker creating a profile using our careers website, please see the .E-Verify Cadence participates in theE-Verify program in certain U.S. locations as required by law.Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world's toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence. Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.
May 16, 2026
Full time
Sales Executive I page is loaded Sales Executive Ilocations: HOME UNITED KINGDOMtime type: Full timeposted on: Posted 24 Days Agojob requisition id: R53875 At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. OpenEye, Cadence Molecular Sciences - a division of Cadence Design Systems - is an industry leader in computational molecular design through rapid, robust, and scalable software, consulting services, and Orion(R), the only cloud-native fully integrated software-as-a-service molecular modeling platform. Combining unlimited computation and storage with powerful tools for data sharing, visualization and analysis in a customizable development platform, Orion offers unprecedented capabilities for the advancement of pharmaceuticals, biologics, agrochemicals, and flavors and fragrances. OpenEye, Cadence Molecular Sciences is headquartered in Santa Fe, N.M., with offices in Boston, Mass.; Cologne, Germany; and Yokohama, Japan . At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Title: Sales Executive I Location: United Kingdom (remote) Reports to: Group Director, Scientific Sales Job Overview: Sales Executive to join our fun-loving and unique commercial team to help build our rapidly growing business.You will utilise your technical knowledge, deep insight of the customer and broader industry knowledge to maximise and monetize the value of the OpenEye solutions, selling leading-edge software for computational chemistry, molecular design, and cloud-based scientific computation. You will develop and maintain open and honest relationships with current and prospective customers to maximize long-term revenue through selling of OpenEye solutions. You will need to rely on your relationships, knowledge, and superior communication skills to connect with business and technology customer stakeholders, identify critical customer challenges and gain buy-in to drive new business. Job Responsibilities: Maintain a good understanding of the OpenEye product line, research pipeline, vision, and philosophy. Communicate OpenEye knowledge to customers. Spend time interacting with current and prospective customers through video, phone, email, and site visits to optimally generate both maintenance revenue and new sales. Manage complex sales cycles including successful contract negotiations, involving high TCV greater than $2M. Help OpenEye grow in the existing market and establish new markets. Coordinate regional activities including software evaluations with application scientists and technology specialists. Work closely with colleagues in sales on global accounts. Generate and send new and renewal quotes; create, track, and update sales opportunities and information within SalesForce or other software systems. Provide territory financial updates as needed for senior management. Work with application scientists to develop and implement a regional plan to achieve sales growth. Attend scientific conferences representing OpenEye. Attend company and sales group meetings in the US. Travel to customer sites and internal meetings. Work with the marketing group; including conferences, event planning and execution. Collaborate with OpenEye colleagues and problem-solve as necessary to overcome sales obstacles. Job Qualifications: Bachelor's degree or greater in a scientific area, with a strong preference for chemistry or biology. 10+ years of successful experience selling either software, services, or instrumentation into the drug discovery market. Must have ability to call "high" (Executive Management) and help drive multi-million-dollar, complex sales campaigns with multiple decision makers and influencers across the customer organization. Deep understanding of the drug discovery market relevant to the customer ecosystem. The ability to foster and grow customer relationships throughout all levels of the customer organization to better connect our solutions with the customer's problems/business challenges and ensure roadmap alignment for long term success. A proven track-record demonstrating ability to identify and understand customer pain-points and the ability to communicate this to a broad range of technical and non-technical persons. Knowledge and demonstration of the ability to manage the complete sales process, strong communication skills, and the ability to interact with scientific and financial staff at all levels. A track record successfully managing multiple priorities, working with, and managing cross functional teams, and driving results as evidenced by overachievement of sales goals. Ability to meet deadlines, prioritize and plan. Ability to work independently, but also cooperatively with staff inside and outside of OpenEye. Excellent written and verbal skills. Additional Information: Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace. Travel You will interact with Customers in the UK and Europe. Employment is remote, with a strong preference for applicants that live in the Southeast of England (London/Cambridge/Oxford triangle). This position requires travel of up to 50%. We're doing work that matters. Help us solve what others can't. Equal Employment Opportunity Policy: Cadence is committed to equal employment opportunity throughout all levels of the organization.We welcome your interest in the company and want to make sure our job site is accessible to all. If you experience difficulty using this site or to request a reasonable accommodation, please contact . Privacy Policy: Job Applicant If you are a job seeker creating a profile using our careers website, please see the .E-Verify Cadence participates in theE-Verify program in certain U.S. locations as required by law.Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world's toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence. Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.
Senior Software Engineer - Python - Agentic AI Fully Remote (UK) A small and talented team of engineers, data scientists, and AI specialists are quietly building something exciting. Well-backed and operating in the AI delivery space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Senior Software Engineer, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. It's not about knowing everything on day one. It's about being the kind of engineer who's curious enough to figure it out. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're the kind of engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this could be ideal for you. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
May 16, 2026
Full time
Senior Software Engineer - Python - Agentic AI Fully Remote (UK) A small and talented team of engineers, data scientists, and AI specialists are quietly building something exciting. Well-backed and operating in the AI delivery space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Senior Software Engineer, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. It's not about knowing everything on day one. It's about being the kind of engineer who's curious enough to figure it out. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're the kind of engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this could be ideal for you. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
This is a fantastic opportunity to work as a contract Bioinformatician on an Outside IR35 contract, for a major pharmaceutical company. It's important to note that this Bioinformatician role will require a minimum of 3 days per week on site in central Cambridge. The key experience required for this Bioinformatician position is: CRISPR Data pipelines Python or R Support lab scientists If you do have the relevant skills for this Bioinformatician Engineer contract position, please do apply.
May 16, 2026
Contractor
This is a fantastic opportunity to work as a contract Bioinformatician on an Outside IR35 contract, for a major pharmaceutical company. It's important to note that this Bioinformatician role will require a minimum of 3 days per week on site in central Cambridge. The key experience required for this Bioinformatician position is: CRISPR Data pipelines Python or R Support lab scientists If you do have the relevant skills for this Bioinformatician Engineer contract position, please do apply.
Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer Competitive rate Flexible working arrangements (hybrid/remote options) Collaborative and innovative work environment Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role.
May 16, 2026
Contractor
Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer Competitive rate Flexible working arrangements (hybrid/remote options) Collaborative and innovative work environment Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role.
Full Stack Software Engineer (Data-Focused) Location: London - Hybrid - 1-2 days per week Salary: (Apply online only)k + Bonus Type: Permanent Sponsorship: Not Available Role Overview: We are seeking a Senior or Staff-Level Fullstack Software Engineer with a strong background in data to join our Data Science & Engineering team.This is a greenfield initiative that seeks to consolidate several lines of business under a single modern architecture. In this role, you will empower the business with the technology and tools needed to leverage data throughout the organization. This Includes: Deploying open-source BI tools and platforms Setting up streaming data collection and validation services Implementing third-party analytic solutions Assisting with data-centric migration tasks Key Responsibilities: Partner with Data Engineers to deploy and maintain internal data tools and platforms Implement and maintain integrations with third-party data platforms and APIs Work with DevOps and Platform Engineers to support: Infrastructure as Code using Terraform Containerisation and deployment via Kubernetes (AKS) CI/CD automation via ArgoCD Monitoring via OTLP and Sumo Logic Contribute to architectural decisions, with a strong emphasis on data security Assist migration and data engineering teams in moving legacy products to a new technology stack Support documentation, testing, and ongoing maintenance of production systems Required Qualifications: 7+ years of experience in software engineering roles, with a track record of building solutions end-to-end Experience deploying applications in cloud environments, preferably Microsoft Azure Strong experience in REST API design and OpenAPI standards Extensive experience working with databases, data platforms, and analytical tools Ability to research, propose, and implement solutions with minimal supervision Experience building internal-facing CRUD applications Familiarity with front-end development and ability to make basic modifications to open-source UI components Experience enabling data scientists and engineers with Python-based development workflows and tooling Technology Stack: Azure Cloud Services C# (.NET 10) Python React.js and modern JavaScript (ES6+) Snowflake (Data Warehouse) Apache Airflow Terraform dbt SQL Server
May 16, 2026
Full time
Full Stack Software Engineer (Data-Focused) Location: London - Hybrid - 1-2 days per week Salary: (Apply online only)k + Bonus Type: Permanent Sponsorship: Not Available Role Overview: We are seeking a Senior or Staff-Level Fullstack Software Engineer with a strong background in data to join our Data Science & Engineering team.This is a greenfield initiative that seeks to consolidate several lines of business under a single modern architecture. In this role, you will empower the business with the technology and tools needed to leverage data throughout the organization. This Includes: Deploying open-source BI tools and platforms Setting up streaming data collection and validation services Implementing third-party analytic solutions Assisting with data-centric migration tasks Key Responsibilities: Partner with Data Engineers to deploy and maintain internal data tools and platforms Implement and maintain integrations with third-party data platforms and APIs Work with DevOps and Platform Engineers to support: Infrastructure as Code using Terraform Containerisation and deployment via Kubernetes (AKS) CI/CD automation via ArgoCD Monitoring via OTLP and Sumo Logic Contribute to architectural decisions, with a strong emphasis on data security Assist migration and data engineering teams in moving legacy products to a new technology stack Support documentation, testing, and ongoing maintenance of production systems Required Qualifications: 7+ years of experience in software engineering roles, with a track record of building solutions end-to-end Experience deploying applications in cloud environments, preferably Microsoft Azure Strong experience in REST API design and OpenAPI standards Extensive experience working with databases, data platforms, and analytical tools Ability to research, propose, and implement solutions with minimal supervision Experience building internal-facing CRUD applications Familiarity with front-end development and ability to make basic modifications to open-source UI components Experience enabling data scientists and engineers with Python-based development workflows and tooling Technology Stack: Azure Cloud Services C# (.NET 10) Python React.js and modern JavaScript (ES6+) Snowflake (Data Warehouse) Apache Airflow Terraform dbt SQL Server
Data Scientist- Modelling & Intelligence - London London Hybrid (3 days in the office, 2 days from home) 6 month Fixed Term Contract Salary to 69,000 pro rata experience dependent Ref: J13096 What if modelling actually sat at the centre of business decisions, not just reporting? We're working with a leading independent property consultancy, building out a new analytics capability, where modelling is becoming central to how the business operates. This isn't a reporting role. It's focused on exploring data and solving real problems. Recent work has included: Clustering complex datasets Modelling trends to support commercial decisions Understanding patterns and behaviours across large datasets You'll work closely with stakeholders to shape problems, build models and turn analysis into something people can actually use. Python is key, with a strong focus on modelling and thinking rather than tooling. We're looking for someone who is comfortable working with messy data, enjoys problem solving and can communicate clearly with non technical stakeholders. What you'll bring Strong Python and SQL Advanced modelling capability Experience working with complex datasets Strong communication and stakeholder engagement Experience working with spatial and non spatial data desirable Exposure to Azure or Databricks beneficial Degree in a quantitative field, MSc or higher beneficial It's an opportunity to join a team that is still taking shape, with real influence over how data is used going forward. Get in touch to learn more. Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity. Alternatively, you can refer a friend or colleague by taking part in our referral scheme. For each relevant candidate you introduce and we place, you will be entitled to our reward scheme. Datatech is one of the UK's leading recruitment agencies in analytics and the host of Women in Data. For more information, visit (url removed) .
May 16, 2026
Full time
Data Scientist- Modelling & Intelligence - London London Hybrid (3 days in the office, 2 days from home) 6 month Fixed Term Contract Salary to 69,000 pro rata experience dependent Ref: J13096 What if modelling actually sat at the centre of business decisions, not just reporting? We're working with a leading independent property consultancy, building out a new analytics capability, where modelling is becoming central to how the business operates. This isn't a reporting role. It's focused on exploring data and solving real problems. Recent work has included: Clustering complex datasets Modelling trends to support commercial decisions Understanding patterns and behaviours across large datasets You'll work closely with stakeholders to shape problems, build models and turn analysis into something people can actually use. Python is key, with a strong focus on modelling and thinking rather than tooling. We're looking for someone who is comfortable working with messy data, enjoys problem solving and can communicate clearly with non technical stakeholders. What you'll bring Strong Python and SQL Advanced modelling capability Experience working with complex datasets Strong communication and stakeholder engagement Experience working with spatial and non spatial data desirable Exposure to Azure or Databricks beneficial Degree in a quantitative field, MSc or higher beneficial It's an opportunity to join a team that is still taking shape, with real influence over how data is used going forward. Get in touch to learn more. Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity. Alternatively, you can refer a friend or colleague by taking part in our referral scheme. For each relevant candidate you introduce and we place, you will be entitled to our reward scheme. Datatech is one of the UK's leading recruitment agencies in analytics and the host of Women in Data. For more information, visit (url removed) .
Data Platform Manager UK / Remote Circa 70k per annum + 15% bonus & benefits Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team. You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss. What you'll be doing Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement Collaborate closely with product owners and data scientists to align platform capabilities with business needs Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely with stakeholders across operations, analytics, and reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover) Strong understanding of data governance, quality, and lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent communication, problem-solving, and stakeholder management skills Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
May 16, 2026
Full time
Data Platform Manager UK / Remote Circa 70k per annum + 15% bonus & benefits Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team. You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss. What you'll be doing Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement Collaborate closely with product owners and data scientists to align platform capabilities with business needs Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely with stakeholders across operations, analytics, and reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover) Strong understanding of data governance, quality, and lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent communication, problem-solving, and stakeholder management skills Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Senior Machine Learning Engineer London, Hybrid (Twice Per Week) Up to £110,000 + 20% Bonus This is an opportunity to take ownership of end to end machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team. The Company They are a specialist, data led organisation applying advanced analytics and machine learning to solve complex commercial problems. Their work spans the full lifecycle of data products, from discovery through to deployment, with a strong focus on building robust, scalable solutions. The environment is delivery focused, technically ambitious, and designed for people who want their work to make a measurable difference. The Role You will play a key role in designing, building, and productionising machine learning solutions across a range of use cases. Working closely with data scientists, data engineers, and delivery colleagues, you will help set technical standards and ensure solutions are production ready. Key responsibilities include: Building and deploying machine learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally to align data, modelling, and business requirements Your Skills and Experience Strong commercial experience developing machine learning solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application development Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial What They Offer Salary up to £110,000 plus a 20% bonus Hybrid working with two days per week in the London office Exposure to varied, high impact machine learning projects Clear scope for technical ownership and career progression A collaborative culture with strong investment in data and AI capability
May 16, 2026
Full time
Senior Machine Learning Engineer London, Hybrid (Twice Per Week) Up to £110,000 + 20% Bonus This is an opportunity to take ownership of end to end machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team. The Company They are a specialist, data led organisation applying advanced analytics and machine learning to solve complex commercial problems. Their work spans the full lifecycle of data products, from discovery through to deployment, with a strong focus on building robust, scalable solutions. The environment is delivery focused, technically ambitious, and designed for people who want their work to make a measurable difference. The Role You will play a key role in designing, building, and productionising machine learning solutions across a range of use cases. Working closely with data scientists, data engineers, and delivery colleagues, you will help set technical standards and ensure solutions are production ready. Key responsibilities include: Building and deploying machine learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally to align data, modelling, and business requirements Your Skills and Experience Strong commercial experience developing machine learning solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application development Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial What They Offer Salary up to £110,000 plus a 20% bonus Hybrid working with two days per week in the London office Exposure to varied, high impact machine learning projects Clear scope for technical ownership and career progression A collaborative culture with strong investment in data and AI capability
Data Entry Administrator Location : Oak Tree House, Earby, BB18 6JZ Salary : £27,500 £28,500 per annum, DOE + Excellent Benefits! Contract : Full time, Permanent Hours : Full time, 40 hours per week (Monday Friday, 8-hour days with a 30-minute break) Benefits : Annual Bonus: £1,200 based on company and personal performance, Holidays: 25 days plus statutory holidays (option to purchase additional week), BroughtonDay: Option for a fixed day off every 2 3 weeks via salary sacrifice, Pension: Auto-enrolment, Life Insurance: 2x death in service and Healthcare: Cash plan Broughton s mission is to improve public health and well-being. As a global contract research organisation, we partner with future-focused organisations and category innovators to bring products to market across the Pharmaceutical, Healthcare, and Lifestyle sectors. Our integrated solutions are delivered by world-leading scientists and regulatory consultants through our contract laboratories. We are now recruiting for a new role within the business and it is a true data entry role. You will be responsible for the accurate entry, maintenance and management of laboratory data within approved systems. The role requires a high level of concentration and precision over sustained periods. Much of the work is repetitive by nature and carried out within strict regulatory frameworks. It is well suited to someone who values accuracy, is comfortable working methodically and takes pride in producing consistently high-quality work in a regulated environment. As our Data Entry Administrator you will: Accurately enter and tabulate laboratory data into approved spreadsheets and systems for routine and ad-hoc reporting, ensuring full compliance with GMP requirements Maintain clear, organised, contemporaneous and audit-ready records in line with ALCOA principles Apply sustained focus and attention to detail when completing high-volume, repetitive data entry tasks Support the Stability team with sample preparation activities, including labelling, documentation and preparation for stability set-down Assist with routine procurement and supply chain activities, including receiving samples and deliveries, arranging carriers, movement of goods, assisting with purchasing and checking non-scientific deliveries Undertake other administrative tasks as required to support business operations In order to be successful in this role you must have / be: GCSE English and Maths (or equivalent) Proven experience in a data entry or administrative role requiring accuracy and consistency Strong IT skills, particularly Microsoft Excel and Word Exceptional attention to detail with a strong commitment to data accuracy Ability to maintain focus and precision when performing repetitive tasks Methodical and disciplined approach to work Comfortable working to defined procedures and regulatory standards Quality-driven mindset with an understanding of the importance of accurate records It would be great if you had: Data entry or data tabulation experience within a regulated environment Previous experience within a laboratory or scientific setting Join us and be part of a team that s shaping the future of health and well-being through science. If you are interested in this role, please do submit a copy of your CV by clicking on APPLY today! No agencies please.
May 16, 2026
Full time
Data Entry Administrator Location : Oak Tree House, Earby, BB18 6JZ Salary : £27,500 £28,500 per annum, DOE + Excellent Benefits! Contract : Full time, Permanent Hours : Full time, 40 hours per week (Monday Friday, 8-hour days with a 30-minute break) Benefits : Annual Bonus: £1,200 based on company and personal performance, Holidays: 25 days plus statutory holidays (option to purchase additional week), BroughtonDay: Option for a fixed day off every 2 3 weeks via salary sacrifice, Pension: Auto-enrolment, Life Insurance: 2x death in service and Healthcare: Cash plan Broughton s mission is to improve public health and well-being. As a global contract research organisation, we partner with future-focused organisations and category innovators to bring products to market across the Pharmaceutical, Healthcare, and Lifestyle sectors. Our integrated solutions are delivered by world-leading scientists and regulatory consultants through our contract laboratories. We are now recruiting for a new role within the business and it is a true data entry role. You will be responsible for the accurate entry, maintenance and management of laboratory data within approved systems. The role requires a high level of concentration and precision over sustained periods. Much of the work is repetitive by nature and carried out within strict regulatory frameworks. It is well suited to someone who values accuracy, is comfortable working methodically and takes pride in producing consistently high-quality work in a regulated environment. As our Data Entry Administrator you will: Accurately enter and tabulate laboratory data into approved spreadsheets and systems for routine and ad-hoc reporting, ensuring full compliance with GMP requirements Maintain clear, organised, contemporaneous and audit-ready records in line with ALCOA principles Apply sustained focus and attention to detail when completing high-volume, repetitive data entry tasks Support the Stability team with sample preparation activities, including labelling, documentation and preparation for stability set-down Assist with routine procurement and supply chain activities, including receiving samples and deliveries, arranging carriers, movement of goods, assisting with purchasing and checking non-scientific deliveries Undertake other administrative tasks as required to support business operations In order to be successful in this role you must have / be: GCSE English and Maths (or equivalent) Proven experience in a data entry or administrative role requiring accuracy and consistency Strong IT skills, particularly Microsoft Excel and Word Exceptional attention to detail with a strong commitment to data accuracy Ability to maintain focus and precision when performing repetitive tasks Methodical and disciplined approach to work Comfortable working to defined procedures and regulatory standards Quality-driven mindset with an understanding of the importance of accurate records It would be great if you had: Data entry or data tabulation experience within a regulated environment Previous experience within a laboratory or scientific setting Join us and be part of a team that s shaping the future of health and well-being through science. If you are interested in this role, please do submit a copy of your CV by clicking on APPLY today! No agencies please.
Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function
May 16, 2026
Full time
Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function
