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.
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
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
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. 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
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. 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.
Data Scientist - Bristol (Hybrid 3 days office) Full-time Permanent Are you a data scientist who thrives on turning complex data into real commercial impact? Do you enjoy building scalable, repeatable solutions rather than one-off analysis? Are you excited by the opportunity to shape a product from the ground up? If so, this could be your next move. We're partnering with a fast-growing B2B SaaS business that blends behavioural science with cutting-edge data to help major consumer brands better understand and influence human behaviour. The product is already delivering strong results-and now the team is scaling it to the next level. This is a rare opportunity to step into a role where data science, product, and customer insight all meet. You'll be the key link between customers, product, and engineering-identifying valuable insights, shaping features, and helping embed them directly into a scalable SaaS platform. The Role You'll work closely with Customer Success to uncover what clients actually need from their data, translate that into structured data science problems, and then design and prototype features that can be rolled out across the platform. You'll also work directly with Product and Engineering to turn prototypes into production-ready features, while engaging with customers to validate ideas and refine direction. This is a highly visible role reporting into a Co-Founder, and will play a central part in shaping both the product roadmap and customer experience. What you'll be doing Designing, prototyping, and testing data-driven product features Translating business and customer needs into data science problems Building clear, engaging data outputs that demonstrate value Working with Product & Engineering to scale solutions across a SaaS platform Presenting insights and prototypes to both technical and non-technical audiences Gathering and analysing customer feedback to influence product direction Supporting Customer Success and Marketing with customer value storytelling Helping prioritise product development based on data and customer insight Occasionally supporting client-facing delivery and professional services work What we're looking for Strong Python skills for data science (pandas, seaborn, plotly) Experience turning data into clear, engaging business insights Confidence working across product, engineering, and customer teams Ability to translate business needs into structured technical requirements Strong communication skills, including presenting to non-technical stakeholders A proactive mindset-you don't wait to be told what to do Excellent organisation and attention to detail Nice to have Experience building production-level code Background in marketing analytics or campaign data Product management exposure Experience with geospatial data A/B testing knowledge Docker or containerisation experience Linux / Bash familiarity Experience delivering training or customer enablement sessions Why this role? This is a chance to join a small but ambitious team building something genuinely novel in behavioural science and marketing analytics. The product already has strong traction, and the next stage is about scaling impact, deepening capability, and pushing the boundaries of what's possible in data-driven marketing. If you want a role where your work directly shapes a product-and where data science sits at the heart of commercial value-this is one to explore. Please apply by sending your CV to (url removed)
May 15, 2026
Full time
Data Scientist - Bristol (Hybrid 3 days office) Full-time Permanent Are you a data scientist who thrives on turning complex data into real commercial impact? Do you enjoy building scalable, repeatable solutions rather than one-off analysis? Are you excited by the opportunity to shape a product from the ground up? If so, this could be your next move. We're partnering with a fast-growing B2B SaaS business that blends behavioural science with cutting-edge data to help major consumer brands better understand and influence human behaviour. The product is already delivering strong results-and now the team is scaling it to the next level. This is a rare opportunity to step into a role where data science, product, and customer insight all meet. You'll be the key link between customers, product, and engineering-identifying valuable insights, shaping features, and helping embed them directly into a scalable SaaS platform. The Role You'll work closely with Customer Success to uncover what clients actually need from their data, translate that into structured data science problems, and then design and prototype features that can be rolled out across the platform. You'll also work directly with Product and Engineering to turn prototypes into production-ready features, while engaging with customers to validate ideas and refine direction. This is a highly visible role reporting into a Co-Founder, and will play a central part in shaping both the product roadmap and customer experience. What you'll be doing Designing, prototyping, and testing data-driven product features Translating business and customer needs into data science problems Building clear, engaging data outputs that demonstrate value Working with Product & Engineering to scale solutions across a SaaS platform Presenting insights and prototypes to both technical and non-technical audiences Gathering and analysing customer feedback to influence product direction Supporting Customer Success and Marketing with customer value storytelling Helping prioritise product development based on data and customer insight Occasionally supporting client-facing delivery and professional services work What we're looking for Strong Python skills for data science (pandas, seaborn, plotly) Experience turning data into clear, engaging business insights Confidence working across product, engineering, and customer teams Ability to translate business needs into structured technical requirements Strong communication skills, including presenting to non-technical stakeholders A proactive mindset-you don't wait to be told what to do Excellent organisation and attention to detail Nice to have Experience building production-level code Background in marketing analytics or campaign data Product management exposure Experience with geospatial data A/B testing knowledge Docker or containerisation experience Linux / Bash familiarity Experience delivering training or customer enablement sessions Why this role? This is a chance to join a small but ambitious team building something genuinely novel in behavioural science and marketing analytics. The product already has strong traction, and the next stage is about scaling impact, deepening capability, and pushing the boundaries of what's possible in data-driven marketing. If you want a role where your work directly shapes a product-and where data science sits at the heart of commercial value-this is one to explore. Please apply by sending your CV to (url removed)
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
May 15, 2026
Full time
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Overview About Certara Certara accelerates the potential of bringing medicines to market and to patients using biosimulation software, technology, and services to transform traditional drug discovery and development. Our clients include more than 2,400 biopharmaceutical companies, academic institutions, and regulatory agencies across 70 countries. Our goal is to enable the life sciences industry's use of data, modeling, and analytics to make better decisions across the various phases of discovery and drug development. Our software and scientists incorporate modern advances in scientific understanding, drug development experience, data analysis, and AI resulting in significant opportunities to decrease the cost and increase the probability of success for new drug approval and commercialization. The Vice President of PBPK provides strategic, scientific, and organizational leadership for all physiologically based pharmacokinetic (PBPK) modeling and simulation activities across the company. This role is responsible for setting the vision for PBPK integration across discovery, preclinical, and clinical development, ensuring scientific excellence, regulatory impact, and business value. The SVP PBPK serves as a key scientific authority, internal advisor, and external thought leader in model-informed drug development (MIDD). Responsibilities Strategic Leadership Define and execute the company's PBPK strategy aligned with R&D, regulatory, and corporate objectives Drive integration of PBPK modeling into decision-making across discovery, translational science, clinical development, and lifecycle management Serve as a core member of senior leadership, influencing portfolio strategy and development prioritization Scientific & Technical Oversight Provide expert oversight of PBPK model development, qualification, validation, and application Ensure best-in-class scientific rigor, innovation, and adoption of emerging methodologies and platforms Guide PBPK applications including first-in-human dose selection, DDIs, special populations, pediatrics, formulation changes, and label claims Regulatory & External Engagement Lead PBPK strategy for global regulatory interactions (FDA, EMA, PMDA, etc.) Act as a primary scientific representative in regulatory meetings, advisory boards, and industry consortia Contribute to regulatory submissions, briefing documents, and responses related to PBPK and MIDD Organizational Leadership Build, mentor, and lead a high-performing PBPK and modeling organization Foster a culture of collaboration, scientific excellence, and continuous development Partner cross-functionally with clinical pharmacology, biostatistics, toxicology, chemistry, clinical, regulatory, and commercial teams Thought Leadership & Innovation Maintain external visibility through publications, presentations, and professional societies Evaluate and implement new modeling technologies, platforms, and data sources Shape industry standards and best practices in PBPK and model-informed drug development Qualifications Education PhD in Pharmacokinetics, Pharmaceutical Sciences, Biomedical Engineering, Chemical Engineering, Applied Mathematics, or a related field Experience 12+ years of progressive experience in PBPK modeling within pharma, biotech, CRO, or regulatory agencies Demonstrated leadership of PBPK or MIDD groups at a senior or executive level Proven track record of successful regulatory impact using PBPK approaches Experience influencing portfolio and development strategy at the enterprise level Skills & Competencies Deep technical expertise in PBPK theory, software platforms, and applications Strong regulatory knowledge and experience with global health authorities Exceptional leadership, communication, and stakeholder-management skills Strategic thinker with the ability to translate complex science into business value Preferred Attributes Recognized external expert or opinion leader in PBPK or MIDD Certara bases all employment-related decision on merit, taking into consideration qualifications, skills, achievement, and performance. We treat all applicants and employees without regard to personal characteristics such as race, color, ethnicity, religion, sex, sexual orientation, age, nationality, marital status, pregnancy, physical or mental condition, genetic information, military service or other characteristic protected by law.
May 15, 2026
Full time
Overview About Certara Certara accelerates the potential of bringing medicines to market and to patients using biosimulation software, technology, and services to transform traditional drug discovery and development. Our clients include more than 2,400 biopharmaceutical companies, academic institutions, and regulatory agencies across 70 countries. Our goal is to enable the life sciences industry's use of data, modeling, and analytics to make better decisions across the various phases of discovery and drug development. Our software and scientists incorporate modern advances in scientific understanding, drug development experience, data analysis, and AI resulting in significant opportunities to decrease the cost and increase the probability of success for new drug approval and commercialization. The Vice President of PBPK provides strategic, scientific, and organizational leadership for all physiologically based pharmacokinetic (PBPK) modeling and simulation activities across the company. This role is responsible for setting the vision for PBPK integration across discovery, preclinical, and clinical development, ensuring scientific excellence, regulatory impact, and business value. The SVP PBPK serves as a key scientific authority, internal advisor, and external thought leader in model-informed drug development (MIDD). Responsibilities Strategic Leadership Define and execute the company's PBPK strategy aligned with R&D, regulatory, and corporate objectives Drive integration of PBPK modeling into decision-making across discovery, translational science, clinical development, and lifecycle management Serve as a core member of senior leadership, influencing portfolio strategy and development prioritization Scientific & Technical Oversight Provide expert oversight of PBPK model development, qualification, validation, and application Ensure best-in-class scientific rigor, innovation, and adoption of emerging methodologies and platforms Guide PBPK applications including first-in-human dose selection, DDIs, special populations, pediatrics, formulation changes, and label claims Regulatory & External Engagement Lead PBPK strategy for global regulatory interactions (FDA, EMA, PMDA, etc.) Act as a primary scientific representative in regulatory meetings, advisory boards, and industry consortia Contribute to regulatory submissions, briefing documents, and responses related to PBPK and MIDD Organizational Leadership Build, mentor, and lead a high-performing PBPK and modeling organization Foster a culture of collaboration, scientific excellence, and continuous development Partner cross-functionally with clinical pharmacology, biostatistics, toxicology, chemistry, clinical, regulatory, and commercial teams Thought Leadership & Innovation Maintain external visibility through publications, presentations, and professional societies Evaluate and implement new modeling technologies, platforms, and data sources Shape industry standards and best practices in PBPK and model-informed drug development Qualifications Education PhD in Pharmacokinetics, Pharmaceutical Sciences, Biomedical Engineering, Chemical Engineering, Applied Mathematics, or a related field Experience 12+ years of progressive experience in PBPK modeling within pharma, biotech, CRO, or regulatory agencies Demonstrated leadership of PBPK or MIDD groups at a senior or executive level Proven track record of successful regulatory impact using PBPK approaches Experience influencing portfolio and development strategy at the enterprise level Skills & Competencies Deep technical expertise in PBPK theory, software platforms, and applications Strong regulatory knowledge and experience with global health authorities Exceptional leadership, communication, and stakeholder-management skills Strategic thinker with the ability to translate complex science into business value Preferred Attributes Recognized external expert or opinion leader in PBPK or MIDD Certara bases all employment-related decision on merit, taking into consideration qualifications, skills, achievement, and performance. We treat all applicants and employees without regard to personal characteristics such as race, color, ethnicity, religion, sex, sexual orientation, age, nationality, marital status, pregnancy, physical or mental condition, genetic information, military service or other characteristic protected by law.
Senior Platform Engineer Build and operate the platforms that make AI and machine learning work at scale We're looking for a Senior Platform Engineer to join our team and play a key role in designing and operating the platform that underpins AI and machine learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role . Instead, your impact will come from creating the infrastructure, tooling, workflows, and guardrails that allow others to do that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific capabilities , rather than treating it as a finished product Provideplatform-level support for: Model development and experimentation Model packaging, deployment, and promotion Scalable inference and LLM-based workloads Build shared platform services that enable consistent, repeatable model deployment , even where day-to-day deployment is owned by MLOps or ML engineers Work closely with data scientists and MLOps engineers to ensure the platform is genuinely usable and fit for purpose Own platform operability, reliability, security, and life cycle management in production Troubleshoot complex issues that cut across infrastructure, Kubernetes, and MLOps layers Contribute to architectural decisions while remaining hands-on with implementation What we're looking for This role is ideal for someone who sees themselves first and foremost as a platform engineer , with the depth to support AI and ML workloads properly. Essential experience: Strong background as a Senior Platform Engineer or Senior DevOps Engineer Deep, hands-on experience building and operating Kubernetes-based platforms Strong practical experience with Helm and Infrastructure as Code (eg Terraform) Proven experience building internal platforms for other engineers , not just running workloads Strong grasp of operational fundamentals: monitoring, logging, reliability, incidents, and maintainability Comfortable collaborating closely with MLOps engineers and data scientists , even where responsibilities differ ML platform & MLOps knowledge (important) You don't need to be a Full time MLOps engineer - but you do need practical understanding of how ML and AI workloads behave in production. Experience or exposure to areas such as: MLOps platforms (eg Kubeflow or similar frameworks) Model serving and inference platforms (eg KServe, vLLM , or equivalent) Supporting LLM-based workloads , including performance and scaling considerations Notebook environments such as JupyterHub Awareness of emerging tooling around Responsible/Trustworthy AI or comparable solutions This ensures you're building a platform that actually works for AI use cases - not a generic compute layer. Desirable experience Working in organisations with a clear AI or data platform strategy Supporting data scientists or ML engineers at scale Experience in regulated, secure, or high-assurance environments Designing platforms that balance flexibility, governance, and control If you enjoy solving hard platform problems and understand that AI places real, specific demands on infrastructure, this role gives you the space and responsibility to make a genuine impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
May 15, 2026
Contractor
Senior Platform Engineer Build and operate the platforms that make AI and machine learning work at scale We're looking for a Senior Platform Engineer to join our team and play a key role in designing and operating the platform that underpins AI and machine learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role . Instead, your impact will come from creating the infrastructure, tooling, workflows, and guardrails that allow others to do that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific capabilities , rather than treating it as a finished product Provideplatform-level support for: Model development and experimentation Model packaging, deployment, and promotion Scalable inference and LLM-based workloads Build shared platform services that enable consistent, repeatable model deployment , even where day-to-day deployment is owned by MLOps or ML engineers Work closely with data scientists and MLOps engineers to ensure the platform is genuinely usable and fit for purpose Own platform operability, reliability, security, and life cycle management in production Troubleshoot complex issues that cut across infrastructure, Kubernetes, and MLOps layers Contribute to architectural decisions while remaining hands-on with implementation What we're looking for This role is ideal for someone who sees themselves first and foremost as a platform engineer , with the depth to support AI and ML workloads properly. Essential experience: Strong background as a Senior Platform Engineer or Senior DevOps Engineer Deep, hands-on experience building and operating Kubernetes-based platforms Strong practical experience with Helm and Infrastructure as Code (eg Terraform) Proven experience building internal platforms for other engineers , not just running workloads Strong grasp of operational fundamentals: monitoring, logging, reliability, incidents, and maintainability Comfortable collaborating closely with MLOps engineers and data scientists , even where responsibilities differ ML platform & MLOps knowledge (important) You don't need to be a Full time MLOps engineer - but you do need practical understanding of how ML and AI workloads behave in production. Experience or exposure to areas such as: MLOps platforms (eg Kubeflow or similar frameworks) Model serving and inference platforms (eg KServe, vLLM , or equivalent) Supporting LLM-based workloads , including performance and scaling considerations Notebook environments such as JupyterHub Awareness of emerging tooling around Responsible/Trustworthy AI or comparable solutions This ensures you're building a platform that actually works for AI use cases - not a generic compute layer. Desirable experience Working in organisations with a clear AI or data platform strategy Supporting data scientists or ML engineers at scale Experience in regulated, secure, or high-assurance environments Designing platforms that balance flexibility, governance, and control If you enjoy solving hard platform problems and understand that AI places real, specific demands on infrastructure, this role gives you the space and responsibility to make a genuine impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Lead AI-Enabled DevOps Engineer Technical leadership at the intersection of software, platforms, and AI We're seeking a Lead AI-Enabled DevOps Engineer to join a growing engineering capability and play a central role in shaping how AI is Embedded into real, production-grade software systems . This is not a traditional people-management role . Instead, you'll lead through technical depth, architectural judgement, and delivery experience by setting direction, guiding teams, and making informed decisions as AI capabilities are integrated into modern software platforms. If you enjoy working where architecture, APIs, DevOps, and AI meet , and you care about building systems that are secure, operable, and genuinely useful, this role offers the chance to have real impact. What you'll be doing Your focus will be on enabling AI within modern, API-first software platforms , particularly where Legacy or existing systems need to evolve to support new capabilities safely and effectively. You will: Provide technical leadership across AI-enabled software and DevOps engineering teams Set architectural direction for API-first design, system integration, and platform enablement for AI Lead the modernisation of Legacy or existing applications toward service-based, API-driven architectures Define and guide integration patterns between applications, platforms, and AI services Make pragmatic decisions about when and how emerging AI integration approaches (eg protocols such as MCP) should be adopted Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions Ensure solutions meet standards for security, resilience, performance, and operability Anticipate and manage architectural and operational risks associated with AI-enabled systems Champion strong engineering practices across software development, DevOps, and platform engineering Lead by example in complex environments where production reliability matters This is delivery-focused leadership , not experimentation for its own sake. What we're looking for We're looking for someone who combines senior technical credibility with the confidence to guide others and shape direction. Essential experience: Strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer , or similar hands-on leadership role Excellent software engineering fundamentals: system design, clean code, testing, and long-term maintainability Deep experience designing and delivering API-driven and microservice-based systems Proven ability to modernise or integrate Legacy systems into modern platforms Solid development experience in TypeScript and Python Experience spanning software delivery, CI/CD, infrastructure, and operations Comfortable setting direction and influencing teams without relying on formal authority Able to balance innovation with pragmatism in production environments Desirable experience: Integrating software systems with AI platforms or AI-enabled services Exposure to emerging AI integration patterns or protocols (eg Model Context Protocol ) Platform engineering or DevOps at scale Experience working in regulated or security-conscious environments Defining technical standards or architectural direction across multiple teams You'll be trusted to make decisions that matter, and supported by teams who value strong engineering leadership. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
May 15, 2026
Contractor
Lead AI-Enabled DevOps Engineer Technical leadership at the intersection of software, platforms, and AI We're seeking a Lead AI-Enabled DevOps Engineer to join a growing engineering capability and play a central role in shaping how AI is Embedded into real, production-grade software systems . This is not a traditional people-management role . Instead, you'll lead through technical depth, architectural judgement, and delivery experience by setting direction, guiding teams, and making informed decisions as AI capabilities are integrated into modern software platforms. If you enjoy working where architecture, APIs, DevOps, and AI meet , and you care about building systems that are secure, operable, and genuinely useful, this role offers the chance to have real impact. What you'll be doing Your focus will be on enabling AI within modern, API-first software platforms , particularly where Legacy or existing systems need to evolve to support new capabilities safely and effectively. You will: Provide technical leadership across AI-enabled software and DevOps engineering teams Set architectural direction for API-first design, system integration, and platform enablement for AI Lead the modernisation of Legacy or existing applications toward service-based, API-driven architectures Define and guide integration patterns between applications, platforms, and AI services Make pragmatic decisions about when and how emerging AI integration approaches (eg protocols such as MCP) should be adopted Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions Ensure solutions meet standards for security, resilience, performance, and operability Anticipate and manage architectural and operational risks associated with AI-enabled systems Champion strong engineering practices across software development, DevOps, and platform engineering Lead by example in complex environments where production reliability matters This is delivery-focused leadership , not experimentation for its own sake. What we're looking for We're looking for someone who combines senior technical credibility with the confidence to guide others and shape direction. Essential experience: Strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer , or similar hands-on leadership role Excellent software engineering fundamentals: system design, clean code, testing, and long-term maintainability Deep experience designing and delivering API-driven and microservice-based systems Proven ability to modernise or integrate Legacy systems into modern platforms Solid development experience in TypeScript and Python Experience spanning software delivery, CI/CD, infrastructure, and operations Comfortable setting direction and influencing teams without relying on formal authority Able to balance innovation with pragmatism in production environments Desirable experience: Integrating software systems with AI platforms or AI-enabled services Exposure to emerging AI integration patterns or protocols (eg Model Context Protocol ) Platform engineering or DevOps at scale Experience working in regulated or security-conscious environments Defining technical standards or architectural direction across multiple teams You'll be trusted to make decisions that matter, and supported by teams who value strong engineering leadership. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Senior Machine Learning Engineer Applying rigorous machine learning to real-world problems that matter We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment . This is a senior, hands-on practitioner role , not a people-management position. You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility . The organisation is outcome-led rather than technology-led . Where strong market solutions exist, they are used. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. This means the work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: Lead end-to-end machine learning delivery , from problem definition through experimentation, evaluation, and iteration Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results Design and run structured experiments to assess model behaviour, performance, and user impact Work with real, imperfect operational data , not just curated or static datasets Collect, assess, and transform data to support model evaluation and continuous improvement Balance rigour with pragmatism, delivering solutions that are robust, proportionate, and fit for purpose Integrate machine learning components into wider systems , considering performance, reliability, and operational constraints Communicate complex technical ideas clearly to non-technical stakeholders , enabling informed decision-making Engage confidently in deep technical design and review discussions with peers Operate effectively within a strong technical assurance and review culture Collaborate with internal teams and selected external partners working at the leading edge of AI What we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating on ML solutions Experience working with real-world, imperfect data from operational systems Strong software engineering practices, including readable, maintainable, and well-tested code Experience integrating ML components into broader production systems Clear understanding of data ethics, privacy, and responsible use of data Strong communication skills across technical and non-technical audiences Proven ability to lead work independently and take ownership of outcomes Technologies you'll encounter The environment evolves, but typical tools include: Python for experimentation, modelling, and evaluation Weights & Biases (or equivalent) for experiment tracking AWS , including services such as SageMaker and Bedrock Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools . Adaptability and outcome focus matter more than platform allegiance. Desirable experience Working in secure, safety-critical, or heavily regulated environments Background in sectors such as energy, oil & gas, defence, or public sector Experience within formal technical assurance or governance processes Collaboration with external suppliers, partners, or research organisations Comfort operating at pace where quality, safety, and compliance are non-negotiable If you enjoy solving complex problems, applying scientific thinking to messy reality, and delivering ML that stands up to scrutiny, this role offers both challenge and meaning. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
May 15, 2026
Contractor
Senior Machine Learning Engineer Applying rigorous machine learning to real-world problems that matter We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment . This is a senior, hands-on practitioner role , not a people-management position. You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility . The organisation is outcome-led rather than technology-led . Where strong market solutions exist, they are used. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. This means the work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: Lead end-to-end machine learning delivery , from problem definition through experimentation, evaluation, and iteration Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results Design and run structured experiments to assess model behaviour, performance, and user impact Work with real, imperfect operational data , not just curated or static datasets Collect, assess, and transform data to support model evaluation and continuous improvement Balance rigour with pragmatism, delivering solutions that are robust, proportionate, and fit for purpose Integrate machine learning components into wider systems , considering performance, reliability, and operational constraints Communicate complex technical ideas clearly to non-technical stakeholders , enabling informed decision-making Engage confidently in deep technical design and review discussions with peers Operate effectively within a strong technical assurance and review culture Collaborate with internal teams and selected external partners working at the leading edge of AI What we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating on ML solutions Experience working with real-world, imperfect data from operational systems Strong software engineering practices, including readable, maintainable, and well-tested code Experience integrating ML components into broader production systems Clear understanding of data ethics, privacy, and responsible use of data Strong communication skills across technical and non-technical audiences Proven ability to lead work independently and take ownership of outcomes Technologies you'll encounter The environment evolves, but typical tools include: Python for experimentation, modelling, and evaluation Weights & Biases (or equivalent) for experiment tracking AWS , including services such as SageMaker and Bedrock Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools . Adaptability and outcome focus matter more than platform allegiance. Desirable experience Working in secure, safety-critical, or heavily regulated environments Background in sectors such as energy, oil & gas, defence, or public sector Experience within formal technical assurance or governance processes Collaboration with external suppliers, partners, or research organisations Comfort operating at pace where quality, safety, and compliance are non-negotiable If you enjoy solving complex problems, applying scientific thinking to messy reality, and delivering ML that stands up to scrutiny, this role offers both challenge and meaning. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Your Responsibilities: Full Stack Development: Design, develop, and maintain end-to-end AI solutions, including Front End interfaces, Back End services, and data pipelines. AI System Development: Implement and optimize AI models, ensuring they are scalable, maintainable, and production-ready. Work on GenAI, Agentic AI, and classic ML solutions. Enterprise Integration: Integrate AI solutions with existing enterprise systems and ensure seamless operation within the client's technology stack. Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to identify opportunities and deliver robust AI solutions. Technical Leadership: Provide technical guidance and mentorship to junior engineers. Lead the implementation of best practices in AI/ML development and deployment. Innovation: Stay updated with the latest advancements in AI/ML technologies and contribute to the development of innovative solutions. Your Profile Essential skills/knowledge/experience: Proficiency in Python and extensive experience with AI/ML/NLP libraries (eg, Hugging Face Transformers, spaCy, NLTK). Experience with state-of-the-art LLMs (eg, GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. Hands-on experience with core GenAI frameworks (eg, LangChain, LlamaIndex) and Agentic AI frameworks (eg, AutoGen, CrewAI, LangGraph). Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their AI/ML services. Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Experience in designing and implementing enterprise-grade AI solutions, including RAG-based solutions with LLMs and vector databases (eg, Pinecone, Weaviate, FAISS). Proven experience in full stack development and AI/ML system implementation within enterprise environments. Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, and autonomous agent design. Excellent communication and stakeholder management skills. Experience working on client proposals and leading technical presentations.
May 15, 2026
Full time
Your Responsibilities: Full Stack Development: Design, develop, and maintain end-to-end AI solutions, including Front End interfaces, Back End services, and data pipelines. AI System Development: Implement and optimize AI models, ensuring they are scalable, maintainable, and production-ready. Work on GenAI, Agentic AI, and classic ML solutions. Enterprise Integration: Integrate AI solutions with existing enterprise systems and ensure seamless operation within the client's technology stack. Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to identify opportunities and deliver robust AI solutions. Technical Leadership: Provide technical guidance and mentorship to junior engineers. Lead the implementation of best practices in AI/ML development and deployment. Innovation: Stay updated with the latest advancements in AI/ML technologies and contribute to the development of innovative solutions. Your Profile Essential skills/knowledge/experience: Proficiency in Python and extensive experience with AI/ML/NLP libraries (eg, Hugging Face Transformers, spaCy, NLTK). Experience with state-of-the-art LLMs (eg, GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. Hands-on experience with core GenAI frameworks (eg, LangChain, LlamaIndex) and Agentic AI frameworks (eg, AutoGen, CrewAI, LangGraph). Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their AI/ML services. Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Experience in designing and implementing enterprise-grade AI solutions, including RAG-based solutions with LLMs and vector databases (eg, Pinecone, Weaviate, FAISS). Proven experience in full stack development and AI/ML system implementation within enterprise environments. Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, and autonomous agent design. Excellent communication and stakeholder management skills. Experience working on client proposals and leading technical presentations.
Your work will change lives. Including your own. We are expanding our in-vitro pharmacology capabilities at our Milton Park site and are seeking a motivated and dynamic early career scientist to join the Biology Automation team and Primary Pharmacology group. In this role, you will work on a leading-edge automation platform, helping to push laboratory automation towards autonomous science and entirely hands free assay execution. You will work within the team to ensure that the large scale automation platform meets its objectives and that all our automated assays are fit for purpose and appropriately quality controlled. You will regularly run biochemical and cell based screening assays that deliver high quality data to project teams and learn how to develop and validate new assays. This includes being responsible for analysing and reporting data while providing interpretation and context in project team meetings, as well as troubleshooting any issues with assays and equipment. In this role, you will: Develop and run automated, semi automated and manual biochemical and cell based assays, to help drive development of small molecule therapeutics with a focus on compound characterisation and the rapid identification of candidate molecules. Implement latest scientific developments and evaluate new technologies. Collaborate with cross functional project teams to drive drug discovery programs forward by producing decision making data in a timely manner. Engage in continual learning and development, gaining exposure to multiple scientific disciplines and the drug discovery process, from initial target identification through to candidate selection. Innovate in a truly leading edge automation laboratory, pushing the boundaries of drug discovery and laboratory automation. The Team You'll Join You will join the Primary Pharmacology group as part of a small team focused mainly on laboratory automation, but also providing key assay data of our own to project teams. The group provides critical data, driving multiple drug discovery projects within multidisciplinary project teams. We work on a range of target classes that could include kinases, proteases, epigenetic targets, or protein:protein interactions etc. Our work covers indications including but not limited to Oncology, Neurology, and Immunology/Inflammation, often in areas of highly novel biology. These positions are primarily laboratory based and offer significant scope for personal growth and continual learning across a range of activities dependent on your experience and ambition. The Experience You'll Need Education: BSc/HND in Biology, Biochemistry, Pharmacology, or a related discipline. Technical Knowledge: A good understanding of Enzyme kinetics (e.g., Michaelis Menten kinetics and mechanism of action studies) and data analysis regarding dose response relationships. Assay Technologies: Practical understanding of biochemical techniques and technologies such as Fluorescence, Luminescence, FRET, and Fluorescence Polarisation (FP). Automation Interest: A keen interest in automation, robotics, and laboratory liquid handling. Soft Skills: Excellent interpersonal and communication skills, with the ability to communicate technical information to a non specialist audience. Adaptability: Flexible, adaptable, and able to work across multiple projects in a fast paced environment. Nice to have Some work experience in the pharmaceutical or biotechnology industry. Experience of Medium or High Throughput Screening (HTS) and in vitro assay development, assay optimisation and validation. Previous use of automation or liquid handling equipment. Working Location & Compensation This is a lab based role in our Milton Park site. Employees are expected to work on site 100% of the time, with occasional flexibility. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £52,000 to £70,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process.
May 15, 2026
Full time
Your work will change lives. Including your own. We are expanding our in-vitro pharmacology capabilities at our Milton Park site and are seeking a motivated and dynamic early career scientist to join the Biology Automation team and Primary Pharmacology group. In this role, you will work on a leading-edge automation platform, helping to push laboratory automation towards autonomous science and entirely hands free assay execution. You will work within the team to ensure that the large scale automation platform meets its objectives and that all our automated assays are fit for purpose and appropriately quality controlled. You will regularly run biochemical and cell based screening assays that deliver high quality data to project teams and learn how to develop and validate new assays. This includes being responsible for analysing and reporting data while providing interpretation and context in project team meetings, as well as troubleshooting any issues with assays and equipment. In this role, you will: Develop and run automated, semi automated and manual biochemical and cell based assays, to help drive development of small molecule therapeutics with a focus on compound characterisation and the rapid identification of candidate molecules. Implement latest scientific developments and evaluate new technologies. Collaborate with cross functional project teams to drive drug discovery programs forward by producing decision making data in a timely manner. Engage in continual learning and development, gaining exposure to multiple scientific disciplines and the drug discovery process, from initial target identification through to candidate selection. Innovate in a truly leading edge automation laboratory, pushing the boundaries of drug discovery and laboratory automation. The Team You'll Join You will join the Primary Pharmacology group as part of a small team focused mainly on laboratory automation, but also providing key assay data of our own to project teams. The group provides critical data, driving multiple drug discovery projects within multidisciplinary project teams. We work on a range of target classes that could include kinases, proteases, epigenetic targets, or protein:protein interactions etc. Our work covers indications including but not limited to Oncology, Neurology, and Immunology/Inflammation, often in areas of highly novel biology. These positions are primarily laboratory based and offer significant scope for personal growth and continual learning across a range of activities dependent on your experience and ambition. The Experience You'll Need Education: BSc/HND in Biology, Biochemistry, Pharmacology, or a related discipline. Technical Knowledge: A good understanding of Enzyme kinetics (e.g., Michaelis Menten kinetics and mechanism of action studies) and data analysis regarding dose response relationships. Assay Technologies: Practical understanding of biochemical techniques and technologies such as Fluorescence, Luminescence, FRET, and Fluorescence Polarisation (FP). Automation Interest: A keen interest in automation, robotics, and laboratory liquid handling. Soft Skills: Excellent interpersonal and communication skills, with the ability to communicate technical information to a non specialist audience. Adaptability: Flexible, adaptable, and able to work across multiple projects in a fast paced environment. Nice to have Some work experience in the pharmaceutical or biotechnology industry. Experience of Medium or High Throughput Screening (HTS) and in vitro assay development, assay optimisation and validation. Previous use of automation or liquid handling equipment. Working Location & Compensation This is a lab based role in our Milton Park site. Employees are expected to work on site 100% of the time, with occasional flexibility. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £52,000 to £70,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process.
AI Engineer Salary: Up to £85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value. The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives. Responsibilities for the AI Engineer: Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready Deliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirements Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major cloud platforms including AI and ML services Solid foundation in software engineering principles for scalable, production-grade systems Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases Proven experience delivering full-stack AI or ML systems within enterprise environments Strong understanding of advanced agent architectures, reasoning systems and autonomous workflows Excellent communication and stakeholder management capability Experience supporting proposals, client-facing discussions or technical presentations If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence
May 14, 2026
Full time
AI Engineer Salary: Up to £85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value. The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives. Responsibilities for the AI Engineer: Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready Deliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirements Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major cloud platforms including AI and ML services Solid foundation in software engineering principles for scalable, production-grade systems Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases Proven experience delivering full-stack AI or ML systems within enterprise environments Strong understanding of advanced agent architectures, reasoning systems and autonomous workflows Excellent communication and stakeholder management capability Experience supporting proposals, client-facing discussions or technical presentations If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence
We are looking for a Machine Learning Engineer who excels at turning AI research into scalable, production-grade reality. You will be responsible for the "heavy lifting" building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they are fast, ethical, and cost-efficient. You will bridge the gap between Data Science prototypes and enterprise-scale deployment. Key Responsibilities AI Model design and build: Work closely with data scientists and business to design and implement AI algorithms, frameworks and architectures. AI model Data Preprocessing: Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources. AI model Feature Engineering: Integrate structured and unstructured data from internal and external systems into centralized data platforms. Performance Tuning of AI/ models: Optimize data workflows and queries for performance, scalability, and cost-efficiency. Building Agentic Systems: Developing intelligent AI agents that can reason, plan, and execute tasks autonomously using LLMs and other tools. LLM application Development: LLM fine-tuning adapting pretrained LLMs for specific tasks using techniques like parameterefficient fine-tuning (PEFT) (e.g., LoRA, QLoRA). Implementing Retrieval-Augmented Generation pipelines to enhance the knowledge and accuracy of LLMs. Utilizing vector databases for efficient storage and retrieval of embeddings generated by LLMs. rafting effective prompts to elicit desired responses from LLMs. Connecting LLMs and generative models with other systems and APIs to create comprehensive solutions. Communicate findings: Collaborate extensively with data scientists, and business during model development and deployment. Maintain updated documentation with details of all aspects of model development lifecycle. Responsible AI: Build AI systems which are trustworthy and beneficial considering ethical principles such as fairness, transparency, accountability, privacy and reliability. Implement quantifiable metrics detecting bias, explainability and adherence to regulatory compliance. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
May 14, 2026
Contractor
We are looking for a Machine Learning Engineer who excels at turning AI research into scalable, production-grade reality. You will be responsible for the "heavy lifting" building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they are fast, ethical, and cost-efficient. You will bridge the gap between Data Science prototypes and enterprise-scale deployment. Key Responsibilities AI Model design and build: Work closely with data scientists and business to design and implement AI algorithms, frameworks and architectures. AI model Data Preprocessing: Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources. AI model Feature Engineering: Integrate structured and unstructured data from internal and external systems into centralized data platforms. Performance Tuning of AI/ models: Optimize data workflows and queries for performance, scalability, and cost-efficiency. Building Agentic Systems: Developing intelligent AI agents that can reason, plan, and execute tasks autonomously using LLMs and other tools. LLM application Development: LLM fine-tuning adapting pretrained LLMs for specific tasks using techniques like parameterefficient fine-tuning (PEFT) (e.g., LoRA, QLoRA). Implementing Retrieval-Augmented Generation pipelines to enhance the knowledge and accuracy of LLMs. Utilizing vector databases for efficient storage and retrieval of embeddings generated by LLMs. rafting effective prompts to elicit desired responses from LLMs. Connecting LLMs and generative models with other systems and APIs to create comprehensive solutions. Communicate findings: Collaborate extensively with data scientists, and business during model development and deployment. Maintain updated documentation with details of all aspects of model development lifecycle. Responsible AI: Build AI systems which are trustworthy and beneficial considering ethical principles such as fairness, transparency, accountability, privacy and reliability. Implement quantifiable metrics detecting bias, explainability and adherence to regulatory compliance. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Databricks Solution Architect (Azure / Lakehouse) Salary: Up to £90,000 + Bonus + Benefits Location: Reading - Hybrid (3 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Databricks Solution Architect to lead the design and delivery of modern, scalable cloud data platforms. This Databricks Solution Architect role will focus on architecting enterprise-grade Lakehouse solutions, designing secure and high-performing data frameworks, and driving data transformation initiatives across a complex Azure environment. Responsibilities for the Databricks Solution Architect: Design and implement scalable Lakehouse, warehouse and enterprise data architectures Build and optimise ETL / ELT pipelines using Azure Databricks Design data solutions using Azure Data Lake, Azure Data Factory and cloud storage services Lead greenfield Lakehouse framework implementations Define conceptual, logical and physical data models Establish data governance, security and compliance standards Implement partitioning, clustering and optimisation strategies for performance and scalability Collaborate with data scientists, analysts and DevOps teams to deliver end-to-end solutions Contribute hands-on development using PySpark, SQL and Python Support CI/CD and DevOps practices using Git-based version control Present architectural designs to governance and review forums Essential Skills for the Databricks Solution Architect: Strong experience designing ETL / ELT pipelines using Azure Databricks Hands-on experience with Azure Data Lake and Azure Data Factory Strong experience implementing Lakehouse architecture in greenfield environments Strong knowledge of data modelling and enterprise data architecture Experience implementing data governance, metadata and security frameworks Experience working across enterprise-scale cloud data landscapes Strong understanding of performance optimisation and data management strategies Experience with PySpark, SQL and Python Spark Desirable Skills for the Databricks Solution Architect: Strong stakeholder management and communication skills Experience working within Agile delivery environments Experience collaborating with large cross-functional delivery teams Retail industry experience beneficial If you are an experienced Databricks Architect looking to shape enterprise-scale cloud data platforms within a modern Azure environment, this role offers strong technical ownership, large-scale delivery exposure and long-term career growth.
May 14, 2026
Full time
Databricks Solution Architect (Azure / Lakehouse) Salary: Up to £90,000 + Bonus + Benefits Location: Reading - Hybrid (3 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Databricks Solution Architect to lead the design and delivery of modern, scalable cloud data platforms. This Databricks Solution Architect role will focus on architecting enterprise-grade Lakehouse solutions, designing secure and high-performing data frameworks, and driving data transformation initiatives across a complex Azure environment. Responsibilities for the Databricks Solution Architect: Design and implement scalable Lakehouse, warehouse and enterprise data architectures Build and optimise ETL / ELT pipelines using Azure Databricks Design data solutions using Azure Data Lake, Azure Data Factory and cloud storage services Lead greenfield Lakehouse framework implementations Define conceptual, logical and physical data models Establish data governance, security and compliance standards Implement partitioning, clustering and optimisation strategies for performance and scalability Collaborate with data scientists, analysts and DevOps teams to deliver end-to-end solutions Contribute hands-on development using PySpark, SQL and Python Support CI/CD and DevOps practices using Git-based version control Present architectural designs to governance and review forums Essential Skills for the Databricks Solution Architect: Strong experience designing ETL / ELT pipelines using Azure Databricks Hands-on experience with Azure Data Lake and Azure Data Factory Strong experience implementing Lakehouse architecture in greenfield environments Strong knowledge of data modelling and enterprise data architecture Experience implementing data governance, metadata and security frameworks Experience working across enterprise-scale cloud data landscapes Strong understanding of performance optimisation and data management strategies Experience with PySpark, SQL and Python Spark Desirable Skills for the Databricks Solution Architect: Strong stakeholder management and communication skills Experience working within Agile delivery environments Experience collaborating with large cross-functional delivery teams Retail industry experience beneficial If you are an experienced Databricks Architect looking to shape enterprise-scale cloud data platforms within a modern Azure environment, this role offers strong technical ownership, large-scale delivery exposure and long-term career growth.
Roke Manor Research Limited
Gloucester, Gloucestershire
Posted Friday 19 September 2025 at 00:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. Full Stack Software Engineer National Security Business Be part of a growing and highly trusted supplier into the NS domain working to deliver mission critical solutions helping to keep the nation safe, secure and prosperous. Working on leading edge technology solutions including AI/DS, Cyber, Cloud, DevOps/SRE, Platform Engineering. We have secured long term work, across the full spectrum, on the latest framework with the client, which provides the springboard for our ongoing growth and development in this domain, so join us on what will be an incredible growth journey. Role As a Full Stack Software Engineer, you'll enjoy delivering mission critical solutions to National Security customers. This isn't developing solutions that complete financial transactions faster; you'll develop cutting edge product that protects people, platforms, missions and information against constantly changing threats. You're a Full Stack Software Engineer that enjoys developing novel products; leading, innovating and inventing by bringing the physical and digital together. It'll involve consulting with customers, defining strategy and understanding how to apply emerging technologies. Roke is a leading technology & engineering company with clients spanning National Security, Defence and Intelligence. You will work alongside our customers to solve their complex and unique challenges. As a Full Stack Software Developer, you will be responsible for Writing clean, secure code following a test-driven approach Create code that is open by default and easy for others to reuse Effectively document all work using required standards, methods and tools, including prototyping tools where appropriate Work with well understood and emerging technologies and identify appropriate patterns Integrating API / UI components with existing data stores and APIs Maintain and develop existing architectural components including Data Ingest, Data Stores and REST APIs Participate in sprint ceremonies with the agile team, attending daily stand-ups, epic decomposition, demos and planning sessions. Assist the wider team to understand upcoming API features and their impact on Collaborate with user researchers and can represent users internally Explain the difference between user needs and the desires of the user Required skills Spring Boot React / VueJS / AngularJS Appropriate Testing Frameworks Technologically curious / Willing / Able to tactically upskill new technologies Built on over a 60 year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and ML. We change the way organisations think and act - through dynamic insights from the analysis of multiple layers of data. We take care of the innovative, technical stuff that keeps everyone safe - that's our mission, passion, and motivation. Where you'll work GLOUCESTER - Alongside hybrid and flexible working options, you'll find our Gloucester site in a business park two minutes from junction 11A of the M5; The site allows easy access to our local customer base. Set on the outskirts of the Cotswolds, you are never far from a picturesque view or lunch time walk. The Next Step Click apply, submitting an up-to-date CV. We look forward to hearing from you.
May 13, 2026
Full time
Posted Friday 19 September 2025 at 00:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. Full Stack Software Engineer National Security Business Be part of a growing and highly trusted supplier into the NS domain working to deliver mission critical solutions helping to keep the nation safe, secure and prosperous. Working on leading edge technology solutions including AI/DS, Cyber, Cloud, DevOps/SRE, Platform Engineering. We have secured long term work, across the full spectrum, on the latest framework with the client, which provides the springboard for our ongoing growth and development in this domain, so join us on what will be an incredible growth journey. Role As a Full Stack Software Engineer, you'll enjoy delivering mission critical solutions to National Security customers. This isn't developing solutions that complete financial transactions faster; you'll develop cutting edge product that protects people, platforms, missions and information against constantly changing threats. You're a Full Stack Software Engineer that enjoys developing novel products; leading, innovating and inventing by bringing the physical and digital together. It'll involve consulting with customers, defining strategy and understanding how to apply emerging technologies. Roke is a leading technology & engineering company with clients spanning National Security, Defence and Intelligence. You will work alongside our customers to solve their complex and unique challenges. As a Full Stack Software Developer, you will be responsible for Writing clean, secure code following a test-driven approach Create code that is open by default and easy for others to reuse Effectively document all work using required standards, methods and tools, including prototyping tools where appropriate Work with well understood and emerging technologies and identify appropriate patterns Integrating API / UI components with existing data stores and APIs Maintain and develop existing architectural components including Data Ingest, Data Stores and REST APIs Participate in sprint ceremonies with the agile team, attending daily stand-ups, epic decomposition, demos and planning sessions. Assist the wider team to understand upcoming API features and their impact on Collaborate with user researchers and can represent users internally Explain the difference between user needs and the desires of the user Required skills Spring Boot React / VueJS / AngularJS Appropriate Testing Frameworks Technologically curious / Willing / Able to tactically upskill new technologies Built on over a 60 year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and ML. We change the way organisations think and act - through dynamic insights from the analysis of multiple layers of data. We take care of the innovative, technical stuff that keeps everyone safe - that's our mission, passion, and motivation. Where you'll work GLOUCESTER - Alongside hybrid and flexible working options, you'll find our Gloucester site in a business park two minutes from junction 11A of the M5; The site allows easy access to our local customer base. Set on the outskirts of the Cotswolds, you are never far from a picturesque view or lunch time walk. The Next Step Click apply, submitting an up-to-date CV. We look forward to hearing from you.
Roke, Roke Manor, Romsey, Hampshire, United Kingdom Job Description Posted Tuesday 2 December 2025 at 01:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. Cyber Software Engineer National Security Business Be part of a growing and highly trusted supplier into the NS domain working to deliver mission critical solutions helping to keep the nation safe, secure and prosperous. Working on leading edge technology solutions including AI/DS, Cyber, Cloud, SRE, VR and Platform Engineering We have secured long term work, across the full spectrum, on the latest framework with the client, which provides the springboard for our ongoing growth and development in this domain, so join us on what will be an incredible growth journey. Role As a Cyber Software Engineer you'll analyse, make, break, and secure systems across a variety of projects. Our Cyber work spans diverse technology stacks on multiple platforms, including Linux, Windows and Android, with environments ranging from small IoT devices, through to user equipment, servers and into the Cloud. You'll tackle hard problems, where solutions need research and experimentation to identify the art of the possible. Working in teams of talented individuals, you'll use your expertise to engineer these solutions, construct pipelines to robustly test them, and integrate them with upstream services. You'll see their deployment all the way to operational use, working hand in glove with our clients. The key requirements Software analysis, reverse engineering and vulnerability research of compiled or interpreted code that could be obfuscated or defensively structured, for either x86/x64 or ARM processor architectures. Operating systems and/or firmware internals, security architectures and hardware abstraction. Engineering software from design to delivery in modern IDEs and languages, using Agile delivery. Creating tested and testable code. Integrating with automated verification systems, CI and CD pipelines. You will have likely used some of the below technologies: Ghidra or IDA Pro for reverse engineering. C, C++, Java or C# for solution creation. Python, Bash, Powershell or Groovy for prototyping and tool-making. Experience in supporting areas is also beneficial, which could include: AI and ML models and their usage. Cloud technologies, including AWS. Virtualisation, emulation and containerisation. Built on over a 60 year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and ML. We change the way organisations think and act - through dynamic insights from the analysis of multiple layers of data. We take care of the innovative, technical stuff that keeps everyone safe - that's our mission, passion, and motivation. Where you'll work You'll find our Romsey site located within beautiful Hampshire countryside, close to the picturesque New Forest District and not far from a superb stretch of the south coast. This is no corporate concrete jungle; this is a manor house site, with ample parking an on-site gym and a driveway full of daffodils in the spring. Clearances Due to the nature of this role, we require you to be eligible to achieve SC / DV clearance. The Next Step Click apply, submitting an up-to-date CV. We look forward to hearing from you.
May 13, 2026
Full time
Roke, Roke Manor, Romsey, Hampshire, United Kingdom Job Description Posted Tuesday 2 December 2025 at 01:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. Cyber Software Engineer National Security Business Be part of a growing and highly trusted supplier into the NS domain working to deliver mission critical solutions helping to keep the nation safe, secure and prosperous. Working on leading edge technology solutions including AI/DS, Cyber, Cloud, SRE, VR and Platform Engineering We have secured long term work, across the full spectrum, on the latest framework with the client, which provides the springboard for our ongoing growth and development in this domain, so join us on what will be an incredible growth journey. Role As a Cyber Software Engineer you'll analyse, make, break, and secure systems across a variety of projects. Our Cyber work spans diverse technology stacks on multiple platforms, including Linux, Windows and Android, with environments ranging from small IoT devices, through to user equipment, servers and into the Cloud. You'll tackle hard problems, where solutions need research and experimentation to identify the art of the possible. Working in teams of talented individuals, you'll use your expertise to engineer these solutions, construct pipelines to robustly test them, and integrate them with upstream services. You'll see their deployment all the way to operational use, working hand in glove with our clients. The key requirements Software analysis, reverse engineering and vulnerability research of compiled or interpreted code that could be obfuscated or defensively structured, for either x86/x64 or ARM processor architectures. Operating systems and/or firmware internals, security architectures and hardware abstraction. Engineering software from design to delivery in modern IDEs and languages, using Agile delivery. Creating tested and testable code. Integrating with automated verification systems, CI and CD pipelines. You will have likely used some of the below technologies: Ghidra or IDA Pro for reverse engineering. C, C++, Java or C# for solution creation. Python, Bash, Powershell or Groovy for prototyping and tool-making. Experience in supporting areas is also beneficial, which could include: AI and ML models and their usage. Cloud technologies, including AWS. Virtualisation, emulation and containerisation. Built on over a 60 year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and ML. We change the way organisations think and act - through dynamic insights from the analysis of multiple layers of data. We take care of the innovative, technical stuff that keeps everyone safe - that's our mission, passion, and motivation. Where you'll work You'll find our Romsey site located within beautiful Hampshire countryside, close to the picturesque New Forest District and not far from a superb stretch of the south coast. This is no corporate concrete jungle; this is a manor house site, with ample parking an on-site gym and a driveway full of daffodils in the spring. Clearances Due to the nature of this role, we require you to be eligible to achieve SC / DV clearance. The Next Step Click apply, submitting an up-to-date CV. We look forward to hearing from you.
Greater Manchester, United Kingdom London, United Kingdom Birmingham, West Midlands, United Kingdom Job Description What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. WSP is one of the world's leading engineering and environmental professional services firms providing technical consultancy to the built and natural environment. We believe that for societies to thrive, we must all hold ourselves accountable for tomorrow. For us, that means creating innovative solutions to the challenges the future will bring to the communities and environments where we live and work across the UK. We are locally dedicated and propelled by international brainpower. We are technical experts and strategic advisors, including engineers, technicians, scientists, planners, surveyors, geo-science and environmental specialists, as well as other design, programme and construction management professionals. Our experts influence and design sustainable lasting solutions in the property & buildings, transportation & infrastructure, earth & environment, industry and power & energy sectors as well as project delivery and strategic consulting services. A little more about your role Our Cost Intelligence team provides expertise in construction economics, leveraging cost and market data to enhance forecasting, benchmarking and demonstrate value for money. We work across all infrastructure sectors and the built environment, supporting clients in major investment decisions by improving confidence through provision of evidenced analyses on cost, risk and inflation and advising how clients can use their own historic data to inform their forward business plans. As a Consultant Analyst in our team, you are passionate about applying digital tools and techniques to solve complex problems. You will work across cost- and project management disciplines to provide specialist cost data advice and analytical capability in stand-alone commissions or as part of a wider multi-disciplined team. You will combine knowledge of the sector challenges, the data available to address them and the technical skills to apply to develop innovative solutions. You will help clients identify solutions to their needs, support developing and applying these and ensure our own services, tools and datasets are kept at the forefront of our discipline and maintaining our reputation as trusted advisors in this space. ACCOUNTABILITIES Contribution to our technical development plans Clear, defensible cost analyses that explains cost drivers, variances, trends, and risk. Accurate, structured, and reliable cost data that supports decision making across projects and programmes. Consistent application of cost breakdown structures, assumptions, and methodologies. Analytical outputs that improve affordability, value, and investment confidence. Robust support to client and programme assurance processes, ensuring cost submissions are credible and transparent. Alignment of cost analysis with agreed governance, assurance, and audit requirements. Translation of complex cost information into understandable narratives. High standards of technical accuracy, transparency, and professional judgement in all cost outputs. RESPONSIBILITIES Development of our digital architecture, data capture and automation processes to facilitate continuous improvement of cost data, analytics, and benchmarking maturity Collect, clean, structure, and maintain estimated, forecast, and actual cost data to populate and maintain benchmark libraries using historic and market data. Apply CBS, asset, and elemental classifications consistently. Undertake cost trend, variance, and sensitivity analysis. Support estimate, target cost, and change reviews, developing comparisons against benchmarks and should cost models. Support development of consistent reporting methods, templates and exemplars. Identify opportunities to improve data capture, automation, and analysis outputs. Work with project controls, commercial, PMO, and engineering teams to integrate cost insights. What we will be looking for you to demonstrate Expert user of Excel to transform and analyse large / complex datasets Knowledge of relational databases and structured query language Experienced user of the power platform to develop reports and automate workflows Proficient in any common portable/low code language or analytical tools (e.g. VBA, Python, R, PowerApps) Strong capability in structuring, cleaning, and managing cost datasets to support repeatable analysis. Ability to analyse and interpret estimated, forecast, and actual cost data to generate meaningful insight across the project lifecycle. Competence in applying cost breakdown structures, asset/elemental classifications, and cost models to enable comparison and benchmarking. Understanding of cost drivers, inflation, market trends, and risk impacts on capital and whole life costs. Clear written and verbal communication aligned to programme governance and decision making needs. Effective collaboration with project controls, commercial, PMO, and engineering teams. Experience supporting infrastructure projects or programmes in sectors such as transport, water, energy, or the built environment. Exposure to multi project or programme level cost reporting and assurance environments. Hands on experience with cost estimates, cost plans, or commercial data, including change events or target cost submissions. QUALIFICATIONS Minimum degree or equivalent experience in: Data Analytics / Data Science / Computer Science / Software Engineering Desirable: Experience and/or qualification in Quantity Surveying, Economics, Mathematics / Statistics What if you could shape a career as unique as you? At WSP, you can always find opportunities to grow and do what matters to you. Make the most of our global reach to discover new challenges and chances to work with diverse, talented individuals who will help you expand your horizons. Imagine a better future for you and a better future for us all. Work on landmark projects around the world and embrace opportunities to make an even bigger impact in the communities you care about. What if you could do the best work of your life and create a legacy for yourself? With us, you can. Apply today. Job Info Job Identification 82567 Posting Date 03/12/2026, 12:16 PM About Us We are one of the world's leading engineering and professional services firms. Our 72,800 passionate people are united by the common purpose of creating positive, long-lasting impacts on the communities we serve through a culture of innovation, integrity, and inclusion. With over 9,000 professionals across the UK and Ireland, we are dedicated to our local communities and propelled by international brainpower. WHAT'S IN IT FOR YOU? Work-life balance At WSP, we understand that work is just one aspect of your life. It's important to make time for you, your family, friends, interests and your community. Our hybrid working policy offers the flexibility to work from home two days a week, while also providing opportunities to collaborate in our modern offices across the UK. Inclusivity & Belonging We welcome applicants with varied backgrounds and experiences. We enable rewarding careers by encouraging people to bring their whole and authentic selves to work so that our work represents the fullest spectrum of society. We celebrate integrity and treat people with respect, supporting each other and embracing a culture of inclusion and belonging at WSP. We have our employee resource groups bring together employees and allies with different backgrounds to promote our culture of inclusivity. We are committed to supporting our people, giving you the tools to make improvements to your health and wellbeing through our Thrive programme. Our Virtual GP service gives you access to an NHS or Irish Medical Council GP at a time and place that suits you - giving you peace of mind and quick access to medical advice when you need it most. We also provide reasonable workplace adjustments for those in need. Additionally, you can benefit from the Gymflex scheme, which offers up to 40% off annual gym memberships through our WSP flexible benefits program, as well as a comprehensive menopause support package. Flex your time To enhance work-life balance, WSP offers the "WSP My Hour," allowing you to take one hour each day for personal activities, with the flexibility to make up the time earlier or later that day. We also provide part-time and flexible working arrangements, the option to purchase additional leave, and the ability to use your bank holiday entitlement to suit you. We understand the importance of development and training to you. That's why we foster a supportive environment that invests in your growth, whether through training, mentoring, or Chartership. Here at WSP we positively encourage applications from suitably qualified and eligible candidates regardless of sex . click apply for full job details
May 13, 2026
Full time
Greater Manchester, United Kingdom London, United Kingdom Birmingham, West Midlands, United Kingdom Job Description What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. WSP is one of the world's leading engineering and environmental professional services firms providing technical consultancy to the built and natural environment. We believe that for societies to thrive, we must all hold ourselves accountable for tomorrow. For us, that means creating innovative solutions to the challenges the future will bring to the communities and environments where we live and work across the UK. We are locally dedicated and propelled by international brainpower. We are technical experts and strategic advisors, including engineers, technicians, scientists, planners, surveyors, geo-science and environmental specialists, as well as other design, programme and construction management professionals. Our experts influence and design sustainable lasting solutions in the property & buildings, transportation & infrastructure, earth & environment, industry and power & energy sectors as well as project delivery and strategic consulting services. A little more about your role Our Cost Intelligence team provides expertise in construction economics, leveraging cost and market data to enhance forecasting, benchmarking and demonstrate value for money. We work across all infrastructure sectors and the built environment, supporting clients in major investment decisions by improving confidence through provision of evidenced analyses on cost, risk and inflation and advising how clients can use their own historic data to inform their forward business plans. As a Consultant Analyst in our team, you are passionate about applying digital tools and techniques to solve complex problems. You will work across cost- and project management disciplines to provide specialist cost data advice and analytical capability in stand-alone commissions or as part of a wider multi-disciplined team. You will combine knowledge of the sector challenges, the data available to address them and the technical skills to apply to develop innovative solutions. You will help clients identify solutions to their needs, support developing and applying these and ensure our own services, tools and datasets are kept at the forefront of our discipline and maintaining our reputation as trusted advisors in this space. ACCOUNTABILITIES Contribution to our technical development plans Clear, defensible cost analyses that explains cost drivers, variances, trends, and risk. Accurate, structured, and reliable cost data that supports decision making across projects and programmes. Consistent application of cost breakdown structures, assumptions, and methodologies. Analytical outputs that improve affordability, value, and investment confidence. Robust support to client and programme assurance processes, ensuring cost submissions are credible and transparent. Alignment of cost analysis with agreed governance, assurance, and audit requirements. Translation of complex cost information into understandable narratives. High standards of technical accuracy, transparency, and professional judgement in all cost outputs. RESPONSIBILITIES Development of our digital architecture, data capture and automation processes to facilitate continuous improvement of cost data, analytics, and benchmarking maturity Collect, clean, structure, and maintain estimated, forecast, and actual cost data to populate and maintain benchmark libraries using historic and market data. Apply CBS, asset, and elemental classifications consistently. Undertake cost trend, variance, and sensitivity analysis. Support estimate, target cost, and change reviews, developing comparisons against benchmarks and should cost models. Support development of consistent reporting methods, templates and exemplars. Identify opportunities to improve data capture, automation, and analysis outputs. Work with project controls, commercial, PMO, and engineering teams to integrate cost insights. What we will be looking for you to demonstrate Expert user of Excel to transform and analyse large / complex datasets Knowledge of relational databases and structured query language Experienced user of the power platform to develop reports and automate workflows Proficient in any common portable/low code language or analytical tools (e.g. VBA, Python, R, PowerApps) Strong capability in structuring, cleaning, and managing cost datasets to support repeatable analysis. Ability to analyse and interpret estimated, forecast, and actual cost data to generate meaningful insight across the project lifecycle. Competence in applying cost breakdown structures, asset/elemental classifications, and cost models to enable comparison and benchmarking. Understanding of cost drivers, inflation, market trends, and risk impacts on capital and whole life costs. Clear written and verbal communication aligned to programme governance and decision making needs. Effective collaboration with project controls, commercial, PMO, and engineering teams. Experience supporting infrastructure projects or programmes in sectors such as transport, water, energy, or the built environment. Exposure to multi project or programme level cost reporting and assurance environments. Hands on experience with cost estimates, cost plans, or commercial data, including change events or target cost submissions. QUALIFICATIONS Minimum degree or equivalent experience in: Data Analytics / Data Science / Computer Science / Software Engineering Desirable: Experience and/or qualification in Quantity Surveying, Economics, Mathematics / Statistics What if you could shape a career as unique as you? At WSP, you can always find opportunities to grow and do what matters to you. Make the most of our global reach to discover new challenges and chances to work with diverse, talented individuals who will help you expand your horizons. Imagine a better future for you and a better future for us all. Work on landmark projects around the world and embrace opportunities to make an even bigger impact in the communities you care about. What if you could do the best work of your life and create a legacy for yourself? With us, you can. Apply today. Job Info Job Identification 82567 Posting Date 03/12/2026, 12:16 PM About Us We are one of the world's leading engineering and professional services firms. Our 72,800 passionate people are united by the common purpose of creating positive, long-lasting impacts on the communities we serve through a culture of innovation, integrity, and inclusion. With over 9,000 professionals across the UK and Ireland, we are dedicated to our local communities and propelled by international brainpower. WHAT'S IN IT FOR YOU? Work-life balance At WSP, we understand that work is just one aspect of your life. It's important to make time for you, your family, friends, interests and your community. Our hybrid working policy offers the flexibility to work from home two days a week, while also providing opportunities to collaborate in our modern offices across the UK. Inclusivity & Belonging We welcome applicants with varied backgrounds and experiences. We enable rewarding careers by encouraging people to bring their whole and authentic selves to work so that our work represents the fullest spectrum of society. We celebrate integrity and treat people with respect, supporting each other and embracing a culture of inclusion and belonging at WSP. We have our employee resource groups bring together employees and allies with different backgrounds to promote our culture of inclusivity. We are committed to supporting our people, giving you the tools to make improvements to your health and wellbeing through our Thrive programme. Our Virtual GP service gives you access to an NHS or Irish Medical Council GP at a time and place that suits you - giving you peace of mind and quick access to medical advice when you need it most. We also provide reasonable workplace adjustments for those in need. Additionally, you can benefit from the Gymflex scheme, which offers up to 40% off annual gym memberships through our WSP flexible benefits program, as well as a comprehensive menopause support package. Flex your time To enhance work-life balance, WSP offers the "WSP My Hour," allowing you to take one hour each day for personal activities, with the flexibility to make up the time earlier or later that day. We also provide part-time and flexible working arrangements, the option to purchase additional leave, and the ability to use your bank holiday entitlement to suit you. We understand the importance of development and training to you. That's why we foster a supportive environment that invests in your growth, whether through training, mentoring, or Chartership. Here at WSP we positively encourage applications from suitably qualified and eligible candidates regardless of sex . click apply for full job details
Director, Machine Learning Science - Content AI Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools that deliver high-quality experiences for travelers, partners, and our employees. A single technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Introduction to the Team We're seeking a Director of Machine Learning Science to lead our Content AI strategy and execution. In this pivotal role, you will move beyond traditional ML applications to architect the next generation of our Content Engine. You will leverage Large Language Models (LLMs), Multimodal Modality, Agentic Workflow to ensure that every image, review, property description, and video is not only relevant but inspiring, safe, and hyper-personalized. Responsibilities Define the Content AI Strategy: Establish the technical roadmap and OKRs for the Machine Learning systems that power Content Generation, Content Moderation, and Content Relevance across our global ecosystem. Lead AI Innovation: Spearhead the deployment of cutting edge AI solutions (LLMs, Diffusion Models) to automate content creation (text, image, video) and summarization, enhancing discovery on both app and web platforms. Pioneer Agentic Workflows: Drive the research and development of autonomous AI Agents capable of reasoning over vast content repositories to answer complex traveler queries and perform multi-step planning tasks. Master Content Relevance & Safety: Oversee the development of models that rank and personalize content to improve conversion and loyalty, while simultaneously building robust automated moderation pipelines to ensure brand safety, trust, and quality at scale. Bridge the Gap between Research & Product: Prioritize efforts between foundational platform migration/optimization and cutting edge experimentation with new GenAI features. Influence & Collaborate: Foster cross functional partnerships with Product, Engineering, Legal, and Supply teams to integrate AI generated content into the core user experience seamlessly. Build a World Class Team: Recruit, mentor, and manage a high performing team of Applied Scientists and AI Engineers, fostering a culture of technical excellence and rapid experimentation. Minimum Qualifications Graduate degree (PhD preferred) in Computer Science, Artificial Intelligence, Computational Linguistics, or equivalent experience. 12+ years of experience in Machine Learning Science with a specific focus on NLP, Computer Vision, or Recommender Systems. 5+ years of people management experience, with a track record of leading high performing science teams in a tech first environment. Hands on experience with Generative AI technologies (e.g., Transformer architectures, LLMs like LLaMA/GPT, RAG pipelines, PEFT/LoRA fine tuning). Understanding of hallucination, latency, and cost optimization. Proven experience in the Content ML/AI space, specifically regarding Content Understanding, Moderation, Generation, and Relevance, creating rich and immersive user experiences. A proven track record of taking high risk, high reward ML projects from proof of concept to large scale production serving millions of users. Preferred Qualifications Agentic AI Experience: Experience building and deploying Agentic workflows with tool use, planning, and reasoning capabilities. Ability to translate complex AI concepts into clear business value for executive stakeholders. Pay Range: Total cash base $242,000.00 to $338,500.00 in San Jose. Potential to increase salary up to $387,000.00 based on performance. Starting pay varies by location, budget, and experience. Benefits: medical/dental/vision, paid time off, Employee Assistance Program, wellness & travel reimbursement, travel discounts, International Airlines Travel Agent membership. View our full list of benefits. Accommodation Requests If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
May 12, 2026
Full time
Director, Machine Learning Science - Content AI Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools that deliver high-quality experiences for travelers, partners, and our employees. A single technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Introduction to the Team We're seeking a Director of Machine Learning Science to lead our Content AI strategy and execution. In this pivotal role, you will move beyond traditional ML applications to architect the next generation of our Content Engine. You will leverage Large Language Models (LLMs), Multimodal Modality, Agentic Workflow to ensure that every image, review, property description, and video is not only relevant but inspiring, safe, and hyper-personalized. Responsibilities Define the Content AI Strategy: Establish the technical roadmap and OKRs for the Machine Learning systems that power Content Generation, Content Moderation, and Content Relevance across our global ecosystem. Lead AI Innovation: Spearhead the deployment of cutting edge AI solutions (LLMs, Diffusion Models) to automate content creation (text, image, video) and summarization, enhancing discovery on both app and web platforms. Pioneer Agentic Workflows: Drive the research and development of autonomous AI Agents capable of reasoning over vast content repositories to answer complex traveler queries and perform multi-step planning tasks. Master Content Relevance & Safety: Oversee the development of models that rank and personalize content to improve conversion and loyalty, while simultaneously building robust automated moderation pipelines to ensure brand safety, trust, and quality at scale. Bridge the Gap between Research & Product: Prioritize efforts between foundational platform migration/optimization and cutting edge experimentation with new GenAI features. Influence & Collaborate: Foster cross functional partnerships with Product, Engineering, Legal, and Supply teams to integrate AI generated content into the core user experience seamlessly. Build a World Class Team: Recruit, mentor, and manage a high performing team of Applied Scientists and AI Engineers, fostering a culture of technical excellence and rapid experimentation. Minimum Qualifications Graduate degree (PhD preferred) in Computer Science, Artificial Intelligence, Computational Linguistics, or equivalent experience. 12+ years of experience in Machine Learning Science with a specific focus on NLP, Computer Vision, or Recommender Systems. 5+ years of people management experience, with a track record of leading high performing science teams in a tech first environment. Hands on experience with Generative AI technologies (e.g., Transformer architectures, LLMs like LLaMA/GPT, RAG pipelines, PEFT/LoRA fine tuning). Understanding of hallucination, latency, and cost optimization. Proven experience in the Content ML/AI space, specifically regarding Content Understanding, Moderation, Generation, and Relevance, creating rich and immersive user experiences. A proven track record of taking high risk, high reward ML projects from proof of concept to large scale production serving millions of users. Preferred Qualifications Agentic AI Experience: Experience building and deploying Agentic workflows with tool use, planning, and reasoning capabilities. Ability to translate complex AI concepts into clear business value for executive stakeholders. Pay Range: Total cash base $242,000.00 to $338,500.00 in San Jose. Potential to increase salary up to $387,000.00 based on performance. Starting pay varies by location, budget, and experience. Benefits: medical/dental/vision, paid time off, Employee Assistance Program, wellness & travel reimbursement, travel discounts, International Airlines Travel Agent membership. View our full list of benefits. Accommodation Requests If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Software Engineer (Junior-Senior) £50,000-£80,000+ Hybrid Defence Sector Ready to build software that makes a real-world impact? Join a high-performing engineering team delivering mission-critical solutions within the defence and national security space. You'll work on complex, high-stakes systems where reliability, performance, and security are paramount - contributing to technology that truly matters. This opportunity is open to engineers across Junior, Mid, and Senior levels , offering clear progression, exposure to cutting-edge technologies, and the chance to work alongside experienced engineers, data scientists, and domain experts. What You'll Do Design, develop, and maintain secure, high-performance software systems Write clean, scalable code in languages such as Python, C++, Java, or JavaScript Contribute to system architecture and technical decision-making (level dependent) Collaborate with cross-functional teams including engineering, data, and product Work on cloud-based and on-premise infrastructure (AWS / Azure / secure environments) Support CI/CD pipelines, testing, and deployment in regulated environments Ensure software meets strict security and compliance standards What We're Looking For STEM degree (Computer Science, Engineering, Mathematics, Physics, or similar) Experience level: Junior: Strong academic background + internships/personal projects Mid: Commercial experience delivering production-grade software Senior: Proven track record in system design, leadership, and delivery Proficiency in at least one core language: Python, C++, Java, or JavaScript Strong problem-solving skills and ability to work in complex environments Familiarity with Git, testing practices, and software development lifecycle Highly Desirable: Experience with cloud platforms (AWS, Azure) Exposure to DevOps practices (CI/CD, containerisation, infrastructure as code) Knowledge of secure software development or regulated industries Important Requirements Must be eligible for UK Security Clearance (SC/DV) Must be willing to work within the defence/national security sector Why Join Impact: Work on systems that support national security and critical operations Progression: Clear career pathways from Junior to Senior and beyond Learning: Ongoing technical development and exposure to advanced technologies Environment: Collaborative, mission-driven engineering culture Benefits: Competitive salary, bonus, hybrid working, and long-term career stability Apply Now If you're motivated by solving complex problems and want to build secure, high-impact systems, we'd love to hear from you.
May 12, 2026
Full time
Software Engineer (Junior-Senior) £50,000-£80,000+ Hybrid Defence Sector Ready to build software that makes a real-world impact? Join a high-performing engineering team delivering mission-critical solutions within the defence and national security space. You'll work on complex, high-stakes systems where reliability, performance, and security are paramount - contributing to technology that truly matters. This opportunity is open to engineers across Junior, Mid, and Senior levels , offering clear progression, exposure to cutting-edge technologies, and the chance to work alongside experienced engineers, data scientists, and domain experts. What You'll Do Design, develop, and maintain secure, high-performance software systems Write clean, scalable code in languages such as Python, C++, Java, or JavaScript Contribute to system architecture and technical decision-making (level dependent) Collaborate with cross-functional teams including engineering, data, and product Work on cloud-based and on-premise infrastructure (AWS / Azure / secure environments) Support CI/CD pipelines, testing, and deployment in regulated environments Ensure software meets strict security and compliance standards What We're Looking For STEM degree (Computer Science, Engineering, Mathematics, Physics, or similar) Experience level: Junior: Strong academic background + internships/personal projects Mid: Commercial experience delivering production-grade software Senior: Proven track record in system design, leadership, and delivery Proficiency in at least one core language: Python, C++, Java, or JavaScript Strong problem-solving skills and ability to work in complex environments Familiarity with Git, testing practices, and software development lifecycle Highly Desirable: Experience with cloud platforms (AWS, Azure) Exposure to DevOps practices (CI/CD, containerisation, infrastructure as code) Knowledge of secure software development or regulated industries Important Requirements Must be eligible for UK Security Clearance (SC/DV) Must be willing to work within the defence/national security sector Why Join Impact: Work on systems that support national security and critical operations Progression: Clear career pathways from Junior to Senior and beyond Learning: Ongoing technical development and exposure to advanced technologies Environment: Collaborative, mission-driven engineering culture Benefits: Competitive salary, bonus, hybrid working, and long-term career stability Apply Now If you're motivated by solving complex problems and want to build secure, high-impact systems, we'd love to hear from you.
