Staff Data Scientist 120K - 140K + Equity London Hybrid At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data Scientist to lead the development of geospatial and movement intelligence products that sit at the heart of the business. The Opportunity This is a highly strategic individual contributor role focused on geospatial data, routing intelligence and operational optimisation. You will own the roadmap and technical direction for a critical data product area, helping the business better understand movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys solving ambiguous technical problems, working with large-scale operational datasets and building products that directly influence business performance. Skills and experience Strong Python and SQL skills Experience working with geospatial, routing or movement-related data Experience building production-grade data products or ML systems Strong stakeholder management and communication skills Experience working with large, complex or unstructured datasets Experience operating in fast-moving environments If you are looking for a new challenge and want to work on complex real-world data problems where your work directly influences operational performance and product strategy, please submit your CV for initial screening and further details. Staff Data Scientist
May 14, 2026
Full time
Staff Data Scientist 120K - 140K + Equity London Hybrid At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data Scientist to lead the development of geospatial and movement intelligence products that sit at the heart of the business. The Opportunity This is a highly strategic individual contributor role focused on geospatial data, routing intelligence and operational optimisation. You will own the roadmap and technical direction for a critical data product area, helping the business better understand movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys solving ambiguous technical problems, working with large-scale operational datasets and building products that directly influence business performance. Skills and experience Strong Python and SQL skills Experience working with geospatial, routing or movement-related data Experience building production-grade data products or ML systems Strong stakeholder management and communication skills Experience working with large, complex or unstructured datasets Experience operating in fast-moving environments If you are looking for a new challenge and want to work on complex real-world data problems where your work directly influences operational performance and product strategy, please submit your CV for initial screening and further details. Staff Data Scientist
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.
MLOPS AI Lead - €250 - 12 Months Fully Remote outside IR35 Own the process of taking machine learning models from experimentation into production Build and maintain repeatable ML pipelines for training, validation, deployment and monitoring Work with data scientists to package models into production ready services or batch processes Implement CI/CD for machine learning workflows Manage model versioning, model registry and release controls Build monitoring for model performance, data drift, concept drift, latency, errors and usage Define retraining workflows and model refresh processes Ensure ML solutions are secure, scalable, auditable and maintainable Work with data engineering teams to ensure reliable data pipelines and feature generation MLOPS AI Lead - €250 - 12 Months Fully Remote outside IR35 bluewaveSELECT is a global recruitment business that is exclusively focused on SAP. Involved in placing over 4,000 SAP professionals, our team has helped deliver some of the highest-profile SAP programmes for some of the most recognisable brands all over of the world. We are on a mission is to become the world's most trusted SAP recruitment business, delivering our unique wow factor by consistently exceeding expectations for both our customers and our network of SAP professionals. We are an official SAP partner, you will find us on the Ariba Network and we have a 5-Star approval rating on TrustPilot from fellow SAP enthusiasts. Whether this will be your first experience with us, or you are a bluewaveSELECT regular, we look forward to working with you! Disclaimer; We try and contact all applicants to every advert however due to volumes of responses with some adverts we may not be able to get back to you in some cases. If this is the case and you do not hear from us within 5 working days please take it that your application has been unsuccessful. Please note, your profile will be rejected if you do not meet language/legislation criteria. Thank you.
May 14, 2026
Contractor
MLOPS AI Lead - €250 - 12 Months Fully Remote outside IR35 Own the process of taking machine learning models from experimentation into production Build and maintain repeatable ML pipelines for training, validation, deployment and monitoring Work with data scientists to package models into production ready services or batch processes Implement CI/CD for machine learning workflows Manage model versioning, model registry and release controls Build monitoring for model performance, data drift, concept drift, latency, errors and usage Define retraining workflows and model refresh processes Ensure ML solutions are secure, scalable, auditable and maintainable Work with data engineering teams to ensure reliable data pipelines and feature generation MLOPS AI Lead - €250 - 12 Months Fully Remote outside IR35 bluewaveSELECT is a global recruitment business that is exclusively focused on SAP. Involved in placing over 4,000 SAP professionals, our team has helped deliver some of the highest-profile SAP programmes for some of the most recognisable brands all over of the world. We are on a mission is to become the world's most trusted SAP recruitment business, delivering our unique wow factor by consistently exceeding expectations for both our customers and our network of SAP professionals. We are an official SAP partner, you will find us on the Ariba Network and we have a 5-Star approval rating on TrustPilot from fellow SAP enthusiasts. Whether this will be your first experience with us, or you are a bluewaveSELECT regular, we look forward to working with you! Disclaimer; We try and contact all applicants to every advert however due to volumes of responses with some adverts we may not be able to get back to you in some cases. If this is the case and you do not hear from us within 5 working days please take it that your application has been unsuccessful. Please note, your profile will be rejected if you do not meet language/legislation criteria. Thank you.
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads to build and embed industrialised decision-support software products. This area plays a critical role in improving operational outcomes by applying advanced machine learning and optimisation techniques to real-world decision-making challenges across the airline. What you'll do: Act as the technical owner of one or more production-grade data science product codebases Lead the end-to-end delivery of decision-support software across the full product lifecycle Understand complex operational business problems end to end and identify opportunities for data-driven optimisation Drive modelling and system design decisions, balancing implementation time, system behaviour, technical debt and business value Prototype, build and deliver industrialised machine learning and optimisation models in Python Design and build robust data ingestion, cleaning and processing pipelines Implement orchestration pipelines and CI/CD deployment processes Ensure software quality through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify product adoption and value capture Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of decision-support products into operational business processes Communicate modelling approaches, trade-offs and results clearly to technical and business audiences Mentor and support junior team members Contribute to agile ways of working, including Git versioning, code reviews and delivery predictability What you'll bring to British Airways: Expert capability in applied machine learning, optimisation and operational research techniques Strong Python expertise with experience delivering production-quality data science software Experience working with cloud platforms and modern ML tooling Strong software engineering discipline including testing, CI/CD and version control Ability to structure complex business and technical problems and propose pragmatic solutions Clear communication skills across technical and non-technical audiences Collaborative working style with a focus on continuous improvement Systems-thinking mindset with attention to detail Curiosity, resilience and adaptability in fast-moving environments Strong commitment to delivering measurable business value Your experience: Master's degree or greater in data science, ML, or operational research, or 6+ years of highly relevant industry experience (required) 4-6 years working on production ML or optimization software products at scale (required) Experience in developing industrialized software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
May 14, 2026
Full time
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads to build and embed industrialised decision-support software products. This area plays a critical role in improving operational outcomes by applying advanced machine learning and optimisation techniques to real-world decision-making challenges across the airline. What you'll do: Act as the technical owner of one or more production-grade data science product codebases Lead the end-to-end delivery of decision-support software across the full product lifecycle Understand complex operational business problems end to end and identify opportunities for data-driven optimisation Drive modelling and system design decisions, balancing implementation time, system behaviour, technical debt and business value Prototype, build and deliver industrialised machine learning and optimisation models in Python Design and build robust data ingestion, cleaning and processing pipelines Implement orchestration pipelines and CI/CD deployment processes Ensure software quality through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify product adoption and value capture Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of decision-support products into operational business processes Communicate modelling approaches, trade-offs and results clearly to technical and business audiences Mentor and support junior team members Contribute to agile ways of working, including Git versioning, code reviews and delivery predictability What you'll bring to British Airways: Expert capability in applied machine learning, optimisation and operational research techniques Strong Python expertise with experience delivering production-quality data science software Experience working with cloud platforms and modern ML tooling Strong software engineering discipline including testing, CI/CD and version control Ability to structure complex business and technical problems and propose pragmatic solutions Clear communication skills across technical and non-technical audiences Collaborative working style with a focus on continuous improvement Systems-thinking mindset with attention to detail Curiosity, resilience and adaptability in fast-moving environments Strong commitment to delivering measurable business value Your experience: Master's degree or greater in data science, ML, or operational research, or 6+ years of highly relevant industry experience (required) 4-6 years working on production ML or optimization software products at scale (required) Experience in developing industrialized software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Senior Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads that build data-driven decision-support software. This area plays a critical role in improving operational performance by embedding advanced analytics, machine learning and optimisation into day-to-day operational decision-making across the airline. What you'll do: Develop and embed industrialised decision-support software using machine learning and optimisation techniques Act as the technical owner of one or more modules within a production-grade data science product Understand operational business problems end-to-end and identify opportunities to optimise decisions using decision-support tooling Conduct analysis and visualisation to identify valuable opportunities and assess trade-offs between design and feature options Drive modelling and technical approach decisions, balancing implementation speed, runtime performance, technical debt and business value Rapidly prototype advanced machine learning and optimisation models in Python Deliver production-grade machine learning and optimisation modules using software engineering best practice Build robust data ingestion, cleaning and processing pipelines Contribute to software orchestration and cloud-based CI/CD deployment Drive system design decisions alongside software architects Ensure robustness through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify adoption and value capture of decision-support products Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of products into operational business processes Communicate modelling approaches, trade-offs and results clearly to stakeholders Mentor junior team members Contribute to agile ways of working including Git version control, code reviews and delivery predictability What you'll bring to British Airways: Experience solving real-world problems using applied machine learning, optimisation and operational research techniques Strong Python capability and experience with data science and optimisation libraries Experience delivering production-quality data science software Familiarity with cloud platforms, CI/CD pipelines and modern orchestration tooling Strong software engineering discipline including testing, logging and version control Ability to structure complex business and technical problems and propose pragmatic solutions Confidence communicating advanced technical concepts to both technical and non-technical audiences Systems-thinking mindset with attention to detail Curious, proactive and resilient approach Collaborative working style with a strong focus on continuous improvement Commitment to delivering measurable business value Your experience: Master's degree or greater in data science, ML, or operational research, or 4+ years of highly relevant industry experience (required) 2+ years working on production ML or optimization software products at scale (required) Experience in developing industrialized software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
May 14, 2026
Full time
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Senior Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads that build data-driven decision-support software. This area plays a critical role in improving operational performance by embedding advanced analytics, machine learning and optimisation into day-to-day operational decision-making across the airline. What you'll do: Develop and embed industrialised decision-support software using machine learning and optimisation techniques Act as the technical owner of one or more modules within a production-grade data science product Understand operational business problems end-to-end and identify opportunities to optimise decisions using decision-support tooling Conduct analysis and visualisation to identify valuable opportunities and assess trade-offs between design and feature options Drive modelling and technical approach decisions, balancing implementation speed, runtime performance, technical debt and business value Rapidly prototype advanced machine learning and optimisation models in Python Deliver production-grade machine learning and optimisation modules using software engineering best practice Build robust data ingestion, cleaning and processing pipelines Contribute to software orchestration and cloud-based CI/CD deployment Drive system design decisions alongside software architects Ensure robustness through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify adoption and value capture of decision-support products Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of products into operational business processes Communicate modelling approaches, trade-offs and results clearly to stakeholders Mentor junior team members Contribute to agile ways of working including Git version control, code reviews and delivery predictability What you'll bring to British Airways: Experience solving real-world problems using applied machine learning, optimisation and operational research techniques Strong Python capability and experience with data science and optimisation libraries Experience delivering production-quality data science software Familiarity with cloud platforms, CI/CD pipelines and modern orchestration tooling Strong software engineering discipline including testing, logging and version control Ability to structure complex business and technical problems and propose pragmatic solutions Confidence communicating advanced technical concepts to both technical and non-technical audiences Systems-thinking mindset with attention to detail Curious, proactive and resilient approach Collaborative working style with a strong focus on continuous improvement Commitment to delivering measurable business value Your experience: Master's degree or greater in data science, ML, or operational research, or 4+ years of highly relevant industry experience (required) 2+ years working on production ML or optimization software products at scale (required) Experience in developing industrialized software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
We are currently looking for a number of skilled Data Scientist with strong expertise in Python to join our clients team. You must have experience of working within the energy industry previously and the role involves managing Azure ML Ops, large data modelling, and leveraging the Databricks platform. The ideal candidate will have a robust background in data science, machine learning, and cloud-based solutions to drive data-driven decision-making and innovation within the role. Utilise Python for advanced data analysis, exploration, and processing to uncover insights and trends and develop and implement machine learning models and algorithms using Python, Azure Machine Learning, and Databricks. You will manage and optimise ML Ops processes within the Azure environment, ensuring efficient deployment, monitoring, and maintenance of models and collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Develop and maintain large-scale data models to support analytics and reporting needs as well as utilising Databricks for advanced data processing and analytics, ensuring scalability and performance. Ensure data quality and integrity through effective data governance and validation processes and stay updated with the latest advancements in data science, machine learning, and cloud technologies to ensure best practices are applied. You will be on site a couple of days a week max and the roles will be inside IR35.
May 13, 2026
Contractor
We are currently looking for a number of skilled Data Scientist with strong expertise in Python to join our clients team. You must have experience of working within the energy industry previously and the role involves managing Azure ML Ops, large data modelling, and leveraging the Databricks platform. The ideal candidate will have a robust background in data science, machine learning, and cloud-based solutions to drive data-driven decision-making and innovation within the role. Utilise Python for advanced data analysis, exploration, and processing to uncover insights and trends and develop and implement machine learning models and algorithms using Python, Azure Machine Learning, and Databricks. You will manage and optimise ML Ops processes within the Azure environment, ensuring efficient deployment, monitoring, and maintenance of models and collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Develop and maintain large-scale data models to support analytics and reporting needs as well as utilising Databricks for advanced data processing and analytics, ensuring scalability and performance. Ensure data quality and integrity through effective data governance and validation processes and stay updated with the latest advancements in data science, machine learning, and cloud technologies to ensure best practices are applied. You will be on site a couple of days a week max and the roles will be inside IR35.
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.
Senior Audio Data Scientist (Research) Remote, Europe3-5 days per week €70,000 - €100,000 salary (or equivalent compensation) Sentinel is partnering with a specialist team working at the cutting edge of speech AI and clinical research. Their work sits at the intersection of acoustic engineering, machine learning and regulated clinical environments. This is a senior individual contributor role with two core objectives: producing credible, publishable research that validates the science externally, and building the models and pipelines that power the product internally. Responsibilities: Building and improving audio and transcript processing pipelines - segmentation, noise reduction, feature extraction Extracting acoustic, prosodic and linguistic features: pitch, speech rate, pauses, jitter, shimmer, spectral features, sentiment and more Developing models that map signals to behavioural indicators and well-being scores Fine-tuning and integrating LLMs for conversation summarisation, signal labelling and emotion assessment Designing validation studies and contributing to publications, reports and clinical evidence packages Requirements: Research background, including publishing and presenting Hands-on experience with raw audio data and speech processing tools (such as librosa, Kaldi, Praat) Strong in ML frameworks (PyTorch, TensorFlow, scikit-learn) and experienced with LLMs end-to-end PhD or similar depth of experience in speech technology, acoustics, ML or computational linguistics (desirable)
May 12, 2026
Full time
Senior Audio Data Scientist (Research) Remote, Europe3-5 days per week €70,000 - €100,000 salary (or equivalent compensation) Sentinel is partnering with a specialist team working at the cutting edge of speech AI and clinical research. Their work sits at the intersection of acoustic engineering, machine learning and regulated clinical environments. This is a senior individual contributor role with two core objectives: producing credible, publishable research that validates the science externally, and building the models and pipelines that power the product internally. Responsibilities: Building and improving audio and transcript processing pipelines - segmentation, noise reduction, feature extraction Extracting acoustic, prosodic and linguistic features: pitch, speech rate, pauses, jitter, shimmer, spectral features, sentiment and more Developing models that map signals to behavioural indicators and well-being scores Fine-tuning and integrating LLMs for conversation summarisation, signal labelling and emotion assessment Designing validation studies and contributing to publications, reports and clinical evidence packages Requirements: Research background, including publishing and presenting Hands-on experience with raw audio data and speech processing tools (such as librosa, Kaldi, Praat) Strong in ML frameworks (PyTorch, TensorFlow, scikit-learn) and experienced with LLMs end-to-end PhD or similar depth of experience in speech technology, acoustics, ML or computational linguistics (desirable)
About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting edge science with advanced technology. Powered by physics based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. About our Team AQEMIA brings together a diverse, multidisciplinary team of 65+ professionals based in Paris and London. Our scientists and engineers-including chemists, physicists, machine learning experts, and software engineers-work side by side to push the boundaries of early stage drug discovery. About the Team The mission of the Molecular Simulations Team is threefold: Support drug discovery programs by maximizing the impact of binding free energy calculations in decision making. Build, benchmark and continuously improve reproducible and scalable pipelines for binding free energy calculations, enabling support for multiple programs in parallel. Collaborate closely with our Physics Research Team to integrate innovations from AQEMIA's proprietary binding free energy methods. Role Overview As a Senior Application Research Scientist in the Molecular Simulations Team, you will be a scientific leader and technical expert, contributing to the strategy and delivery of AQEMIA's Binding Free Energy Technology. You will help define and evolve how physics based simulations inform and accelerate drug discovery decisions at AQEMIA. Key Responsibilities Design and lead large scale simulation studies (e.g., relative and absolute binding free energy predictions). Evaluate and improve modelling protocols for reproducibility, accuracy, and efficiency. Serve as a mentor to junior scientists, promoting best practices in simulation and analysis. Contribute to cross functional planning and the integration of simulations with experimental and AI based insights. Stay at the forefront of developments in molecular simulations and suggest innovations to the team. Support the development and scaling of workflows that can serve multiple drug discovery projects. Work closely with the Research Team to implement improvements and updates to AQEMIA's proprietary binding free energy methods. Qualifications & Experience PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or related discipline. 5+ years of experience in molecular simulations, ideally within an industrial drug discovery context. Deep knowledge of free energy methods, molecular dynamics, and simulation software. Experience running and analysing binding free energy calculations. Strong programming/scripting ability (Python) and experience with code sharing platforms (GitHub). Demonstrated ability to lead scientific projects and communicate effectively across disciplines. Nice to Have Experience in machine learning applications for physics based modelling. Track record of scientific publications and contributions to the computational drug discovery community. Preferred Mindset Scientific Rigour: Champion high scientific standards and promote best practices across the team. Humble and Willing to Learn: Lead by example with curiosity and openness to new ideas. Excited by Challenging Scientific Problems: Passionate about solving complex, cutting edge problems and guiding others through them. Pragmatic and Impact Driven: Combine strategic thinking with practical execution to deliver real world impact in a fast paced environment. Leadership through Influence: Inspire and mentor colleagues while fostering a collaborative, high performance culture. Application Deadline We will be accepting applications until 14th April. Once the role closes, our team will review all submissions and reach out to candidates selected for interview. Benefits Expanding Drug Discovery Pipeline: Focused on critical therapeutic areas such as Oncology, CNS, and Immuno inflammation, with in vivo proof of concept and patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World Class Interdisciplinary Team: Work alongside exceptional talent at the intersection of technology and life sciences. DeepTech Recognition: AQEMIA is proud to be part of the French Tech 120 and France 2030, highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility: Offices located in the heart of Paris and London (King's Cross), with flexible work arrangements including up to two remote days per week. Strong Financial Backing: $100M raised from leading European and International investors.
May 12, 2026
Full time
About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting edge science with advanced technology. Powered by physics based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. About our Team AQEMIA brings together a diverse, multidisciplinary team of 65+ professionals based in Paris and London. Our scientists and engineers-including chemists, physicists, machine learning experts, and software engineers-work side by side to push the boundaries of early stage drug discovery. About the Team The mission of the Molecular Simulations Team is threefold: Support drug discovery programs by maximizing the impact of binding free energy calculations in decision making. Build, benchmark and continuously improve reproducible and scalable pipelines for binding free energy calculations, enabling support for multiple programs in parallel. Collaborate closely with our Physics Research Team to integrate innovations from AQEMIA's proprietary binding free energy methods. Role Overview As a Senior Application Research Scientist in the Molecular Simulations Team, you will be a scientific leader and technical expert, contributing to the strategy and delivery of AQEMIA's Binding Free Energy Technology. You will help define and evolve how physics based simulations inform and accelerate drug discovery decisions at AQEMIA. Key Responsibilities Design and lead large scale simulation studies (e.g., relative and absolute binding free energy predictions). Evaluate and improve modelling protocols for reproducibility, accuracy, and efficiency. Serve as a mentor to junior scientists, promoting best practices in simulation and analysis. Contribute to cross functional planning and the integration of simulations with experimental and AI based insights. Stay at the forefront of developments in molecular simulations and suggest innovations to the team. Support the development and scaling of workflows that can serve multiple drug discovery projects. Work closely with the Research Team to implement improvements and updates to AQEMIA's proprietary binding free energy methods. Qualifications & Experience PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or related discipline. 5+ years of experience in molecular simulations, ideally within an industrial drug discovery context. Deep knowledge of free energy methods, molecular dynamics, and simulation software. Experience running and analysing binding free energy calculations. Strong programming/scripting ability (Python) and experience with code sharing platforms (GitHub). Demonstrated ability to lead scientific projects and communicate effectively across disciplines. Nice to Have Experience in machine learning applications for physics based modelling. Track record of scientific publications and contributions to the computational drug discovery community. Preferred Mindset Scientific Rigour: Champion high scientific standards and promote best practices across the team. Humble and Willing to Learn: Lead by example with curiosity and openness to new ideas. Excited by Challenging Scientific Problems: Passionate about solving complex, cutting edge problems and guiding others through them. Pragmatic and Impact Driven: Combine strategic thinking with practical execution to deliver real world impact in a fast paced environment. Leadership through Influence: Inspire and mentor colleagues while fostering a collaborative, high performance culture. Application Deadline We will be accepting applications until 14th April. Once the role closes, our team will review all submissions and reach out to candidates selected for interview. Benefits Expanding Drug Discovery Pipeline: Focused on critical therapeutic areas such as Oncology, CNS, and Immuno inflammation, with in vivo proof of concept and patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World Class Interdisciplinary Team: Work alongside exceptional talent at the intersection of technology and life sciences. DeepTech Recognition: AQEMIA is proud to be part of the French Tech 120 and France 2030, highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility: Offices located in the heart of Paris and London (King's Cross), with flexible work arrangements including up to two remote days per week. Strong Financial Backing: $100M raised from leading European and International investors.
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune. You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite's delivery standards. This is a capability-building role-your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods. The Impact you bring to Cognite Regional Technical Leadership (Data Science) Own the DS function's technical quality across all customer engagements in the region Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing Ensure scalable, maintainable, and well-documented analytical solutions across all pods. Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs. Support escalations as a senior technical advisor-ensuring pragmatic, customer centric resolution Scaling & Growth Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions. Ensure DS work accelerates adoption of AI enabled workflows, Dune based solutions, and repeatable industrial patterns. Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function. Operational & Delivery Quality Management Ensure DS teams follow disciplined delivery practices including: - clear problem framing - structured exploration - robust modelling & validation - well defined acceptance criteria - telemetry, monitoring, and performance checks Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness. Track DS contribution to delivery health, model quality, and customer outcomes. Lead, mentor, and develop the Data Science community across Value Delivery Europe. Define the DS competency framework and build learning pathways covering: - statistics, machine learning, optimisation - deep learning, generative models, agentic frameworks - industrial domain context - Dune workflows and UI based logic - communication, consulting, and delivery excellence Run DS guilds, brown bags, technical shows and tells, and practice reviews. Recruit top DS talent, shape onboarding, and grow internal leaders. Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success. Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements. Support cross functional alignment on best practices for modelling, data readiness, and solution reliability Required Qualifications 7-10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles Proven track record delivering data driven solutions in production-preferably in industrial, asset heavy, or mission critical environments Experience leading technical teams or DS communities Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows. Ability to translate industrial problems into analytical, predictive, or agent based solutions Familiarity with full stack DS: - backend logic (Python/SQL/pipelines) - UI/workflow experience (Dune, low code/no code, visual interfaces) Excellent communication skills-able to explain complex technical concepts to non technical stakeholders High delivery orientation with strong problem solving and analytical thinking Mindset: Passionate about growing people, uplifting technical depth, and maturing DS practices Curious, experimental, and willing to adopt new frameworks, including Dune based development Collaborative, structured, and committed to customer value and operational excellence Thrives in high growth, rapidly evolving environments A snapshot of our many perks and benefits as a Cogniter Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Flat structure with direct access to decision makers Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology Join ourHUB ️ to be part of the conversation directly with Cogniters and our partners. Get access to private health services with Cognite Care. Hungry? We've got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House) Our ownCognite exclusive coffee bar with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes. We take your mental and physical health seriously by having a broad health offering and a free membership to our fully staffed gym on site. We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
May 12, 2026
Full time
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune. You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite's delivery standards. This is a capability-building role-your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods. The Impact you bring to Cognite Regional Technical Leadership (Data Science) Own the DS function's technical quality across all customer engagements in the region Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing Ensure scalable, maintainable, and well-documented analytical solutions across all pods. Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs. Support escalations as a senior technical advisor-ensuring pragmatic, customer centric resolution Scaling & Growth Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions. Ensure DS work accelerates adoption of AI enabled workflows, Dune based solutions, and repeatable industrial patterns. Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function. Operational & Delivery Quality Management Ensure DS teams follow disciplined delivery practices including: - clear problem framing - structured exploration - robust modelling & validation - well defined acceptance criteria - telemetry, monitoring, and performance checks Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness. Track DS contribution to delivery health, model quality, and customer outcomes. Lead, mentor, and develop the Data Science community across Value Delivery Europe. Define the DS competency framework and build learning pathways covering: - statistics, machine learning, optimisation - deep learning, generative models, agentic frameworks - industrial domain context - Dune workflows and UI based logic - communication, consulting, and delivery excellence Run DS guilds, brown bags, technical shows and tells, and practice reviews. Recruit top DS talent, shape onboarding, and grow internal leaders. Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success. Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements. Support cross functional alignment on best practices for modelling, data readiness, and solution reliability Required Qualifications 7-10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles Proven track record delivering data driven solutions in production-preferably in industrial, asset heavy, or mission critical environments Experience leading technical teams or DS communities Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows. Ability to translate industrial problems into analytical, predictive, or agent based solutions Familiarity with full stack DS: - backend logic (Python/SQL/pipelines) - UI/workflow experience (Dune, low code/no code, visual interfaces) Excellent communication skills-able to explain complex technical concepts to non technical stakeholders High delivery orientation with strong problem solving and analytical thinking Mindset: Passionate about growing people, uplifting technical depth, and maturing DS practices Curious, experimental, and willing to adopt new frameworks, including Dune based development Collaborative, structured, and committed to customer value and operational excellence Thrives in high growth, rapidly evolving environments A snapshot of our many perks and benefits as a Cogniter Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Flat structure with direct access to decision makers Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology Join ourHUB ️ to be part of the conversation directly with Cogniters and our partners. Get access to private health services with Cognite Care. Hungry? We've got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House) Our ownCognite exclusive coffee bar with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes. We take your mental and physical health seriously by having a broad health offering and a free membership to our fully staffed gym on site. We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
The role We are looking for a motivated and skilled Trait Design Scientist, ideally with a background in photosynthesis research, to drive our R&D initiatives. At Wild, we are building proprietary and "new-to-science" datasets that we use to discover new yield traits. You will play a key role in analysing these datasets and driving the future direction of data collection to accelerate this discovery work. Location We're headquartered in Milton Park, a business and technology park in Oxfordshire. This is an on-site role, though we offer flexibility and hybrid working when possible. Job requirements A PhD in a relevant discipline, e.g. Plant Science, Photosynthesis, Plant Physiology, Bioinformatics. Proven experience delivering complex scientific research projects and driving their strategic direction. Deep theoretical and practical understanding of photosynthesis; you are comfortable interpreting complex physiological data to generate biological hypotheses. Experience using gas exchange and chlorophyll fluorescence systems (e.g. LICORs, Walz), and/or other photosynthetic mechanistic studies used to dissect photosynthetic performance. A strong understanding of the genetic mechanisms that govern plant phenotypes and the factors that influence gene expression. Familiarity with Linux, bioinformatic tools, and the application of machine learning to genomic/phenotype data is highly desirable. A growth-oriented mindset focused on continuous improvement - evaluating new tools and sparking innovation within the team. Ability to distil complex data into clear hypothesis and lead collaborative decision-making sessions. Job responsibilities Lead the design and management of experiments to collect bespoke physiology and genetic datasets across diverse species. Establish robust phenotyping methods and train junior team members to ensure high-quality data collection at scale. Utilise machine learning and bioinformatic tools to mine proprietary datasets, identifying causal genetics behind key photosynthesis traits. Critically evaluate machine learning / AI outputs by integrating photosynthesis expertise with literature reviews and data from our proprietary evolutionary and cell-based platform. Lead trait design sessions, collaborating with other photosynthesis experts, construct engineers, and bioinformaticians to inform phase promotion decisions. Iteratively improve data collection protocols based on the latest photosynthesis research.
May 12, 2026
Full time
The role We are looking for a motivated and skilled Trait Design Scientist, ideally with a background in photosynthesis research, to drive our R&D initiatives. At Wild, we are building proprietary and "new-to-science" datasets that we use to discover new yield traits. You will play a key role in analysing these datasets and driving the future direction of data collection to accelerate this discovery work. Location We're headquartered in Milton Park, a business and technology park in Oxfordshire. This is an on-site role, though we offer flexibility and hybrid working when possible. Job requirements A PhD in a relevant discipline, e.g. Plant Science, Photosynthesis, Plant Physiology, Bioinformatics. Proven experience delivering complex scientific research projects and driving their strategic direction. Deep theoretical and practical understanding of photosynthesis; you are comfortable interpreting complex physiological data to generate biological hypotheses. Experience using gas exchange and chlorophyll fluorescence systems (e.g. LICORs, Walz), and/or other photosynthetic mechanistic studies used to dissect photosynthetic performance. A strong understanding of the genetic mechanisms that govern plant phenotypes and the factors that influence gene expression. Familiarity with Linux, bioinformatic tools, and the application of machine learning to genomic/phenotype data is highly desirable. A growth-oriented mindset focused on continuous improvement - evaluating new tools and sparking innovation within the team. Ability to distil complex data into clear hypothesis and lead collaborative decision-making sessions. Job responsibilities Lead the design and management of experiments to collect bespoke physiology and genetic datasets across diverse species. Establish robust phenotyping methods and train junior team members to ensure high-quality data collection at scale. Utilise machine learning and bioinformatic tools to mine proprietary datasets, identifying causal genetics behind key photosynthesis traits. Critically evaluate machine learning / AI outputs by integrating photosynthesis expertise with literature reviews and data from our proprietary evolutionary and cell-based platform. Lead trait design sessions, collaborating with other photosynthesis experts, construct engineers, and bioinformaticians to inform phase promotion decisions. Iteratively improve data collection protocols based on the latest photosynthesis research.
A leading fashion retailer in Reading is seeking a Data Science & Measurement Lead to manage a team of data scientists focusing on advanced analytics and machine learning. This hybrid role requires expertise in Databricks, Apache Spark, and SQL. You'll be responsible for delivering impactful data solutions, mentoring the team, and collaborating with engineering to ensure data quality. Attractive benefits include healthcare, a generous leave policy, and a bonus potential.
May 12, 2026
Full time
A leading fashion retailer in Reading is seeking a Data Science & Measurement Lead to manage a team of data scientists focusing on advanced analytics and machine learning. This hybrid role requires expertise in Databricks, Apache Spark, and SQL. You'll be responsible for delivering impactful data solutions, mentoring the team, and collaborating with engineering to ensure data quality. Attractive benefits include healthcare, a generous leave policy, and a bonus potential.
Food, Microbiome & Health, Quadram Institute Bioscience Applications are invited for a Postdoctoral Scientist position in the Hildebrand group at the Quadram Institute Bioscience (QIB), Norwich, UK. Background: Microbial fermentation of plant-based foods is increasingly used to recreate the taste, texture, and nutritional qualities of meat, while improving environmental sustainability. Optimizing the production of plant-based foods and ensuring consumer acceptance remain important challenges, further complicated by new and diverse fermentation approaches. The role: In the FlavourFerm consortium, partners are developing novel fermented plant-based foods. This research position will investigate how these foods influence the human gut microbiome and offer potential benefits to host health. Taste and texture of these foods will be predicted from microbial fermentation consortia. Specifically, microbes will be identified that affect fermentation outcomes. Building on previous work from the host group, we will develop machine learning tools to model microbial communities and their impact. In the longer term, this research will support the development of human-centric fermented foods that are safe, appealing, and environmentally sustainable. The environment: The successful applicant will work within the Hildebrand and Traka groups, integrated in the H2020 international FlavourFerm consortium. Prof Hildebrand studies the diversity, interactions, and evolution of microbial communities using high resolution metagenomics and custom software tools. The group is jointly based at QIB and the Earlham Institute developing widely used bioinformatic tools. Dr Traka leads the UK national resource Food & Nutrition National Bioscience Research Infrastructure, focused on automated food categorization using AI. FlavourFerm combines microbiologists, machine learning and food scientists, to develop the next generation of healthy and sustainable nutrition. The project requires close collaborations across Europe; attendance and participation in workshops and consortium meetings is required. The ideal candidate: holds a PhD (or equivalent) in biology, bioinformatics, computer science or a related discipline, being experienced in bioinformatics, (meta)genomic data, and microbiology. Knowledge in AI, machine learning, microbial pathogens, microbiology of fermentation, comparative genomics and analysing microbial communities will be of benefit. Specialized skills will be taught and developed through mentorship and collaborations. Salary on appointment will be within the range £37,500 to £43,350 per annum depending on qualifications and experience. This is a full time post until 30 April 2028. Closing date for applications will be 17 May 2026. Interviews are planned for week commencing 1st June 2026. We are committed to equal opportunities and welcome applications from all sectors of society. The Institute supports equality of opportunity within the workplace and expects all employees to share and display these values. The Institute is an Equality Confident employer.
May 11, 2026
Full time
Food, Microbiome & Health, Quadram Institute Bioscience Applications are invited for a Postdoctoral Scientist position in the Hildebrand group at the Quadram Institute Bioscience (QIB), Norwich, UK. Background: Microbial fermentation of plant-based foods is increasingly used to recreate the taste, texture, and nutritional qualities of meat, while improving environmental sustainability. Optimizing the production of plant-based foods and ensuring consumer acceptance remain important challenges, further complicated by new and diverse fermentation approaches. The role: In the FlavourFerm consortium, partners are developing novel fermented plant-based foods. This research position will investigate how these foods influence the human gut microbiome and offer potential benefits to host health. Taste and texture of these foods will be predicted from microbial fermentation consortia. Specifically, microbes will be identified that affect fermentation outcomes. Building on previous work from the host group, we will develop machine learning tools to model microbial communities and their impact. In the longer term, this research will support the development of human-centric fermented foods that are safe, appealing, and environmentally sustainable. The environment: The successful applicant will work within the Hildebrand and Traka groups, integrated in the H2020 international FlavourFerm consortium. Prof Hildebrand studies the diversity, interactions, and evolution of microbial communities using high resolution metagenomics and custom software tools. The group is jointly based at QIB and the Earlham Institute developing widely used bioinformatic tools. Dr Traka leads the UK national resource Food & Nutrition National Bioscience Research Infrastructure, focused on automated food categorization using AI. FlavourFerm combines microbiologists, machine learning and food scientists, to develop the next generation of healthy and sustainable nutrition. The project requires close collaborations across Europe; attendance and participation in workshops and consortium meetings is required. The ideal candidate: holds a PhD (or equivalent) in biology, bioinformatics, computer science or a related discipline, being experienced in bioinformatics, (meta)genomic data, and microbiology. Knowledge in AI, machine learning, microbial pathogens, microbiology of fermentation, comparative genomics and analysing microbial communities will be of benefit. Specialized skills will be taught and developed through mentorship and collaborations. Salary on appointment will be within the range £37,500 to £43,350 per annum depending on qualifications and experience. This is a full time post until 30 April 2028. Closing date for applications will be 17 May 2026. Interviews are planned for week commencing 1st June 2026. We are committed to equal opportunities and welcome applications from all sectors of society. The Institute supports equality of opportunity within the workplace and expects all employees to share and display these values. The Institute is an Equality Confident employer.
Junior Software Engineer Location: Office based, Whiteley PO15 7AF Salary: Competitive, depending on experience Contract: Full Time, Permanent Benefits: 27 days holiday (increasing 1 day each year), Flexible working hours, Share options, Company pension, Cycle to Work Scheme, Private Dental care About the company: iFAST Diagnostics is a medical device company that has developed a game-changing, rapid antimicrobial susceptibility test, that will enable the right antibiotic treatment for all patients with bacterial infections. Currently, these tests take 48-72 hours, but iFAST's tests are 10x faster giving full quantitative and qualitative results in under 3 hours from a positive blood culture or bacterial isolate. Job Role: We are seeking a Software Engineer or Computer Scientist to join our team as we roll out our instruments in the UK, having just received our UKCA approval for the first product. You will design, implement and test a variety of software including middleware, firmware and algorithm development which are integral to our novel medical diagnostic product Responsibilities: • Development of software for our current and future instruments, including algorithm development, processing code and middleware. • Writing code and algorithms in accordance with good Software practise Experience of relevant standards and medical device regulations would be beneficial (e.g. ISO 13485, ISO 9001 ISO 14971 and IEC 62304.) • Development of test plans and procedures, conducting and accurately documenting the tests at unit, sub-system and system level. • Working closely with internal and external stakeholders e.g. production, service, sales teams and suppliers. Knowledge, Skills & Experience: • Have experience of software development for medical devices or similar within an ISO regulated environment and be able to work to associated regulations such as IEC 62304. • Be able to work efficiently with source code management tools. • Be familiar with IEC 62304 compliant software development processes and standards to produce well documented, maintainable, and test-driven code. • Understand machine learning concepts and be able to choose appropriate techniques for a given task and dataset, including supervised learning. • Have a strong mathematical and statistical background and be able to apply this to algorithm development. • Have experience of writing software for controlling electromechanical equipment, ideally in C/C++, Python, MATLAB or PLC code. • Hold a (first or 2:1) degree in a relevant discipline. • Need to be able to work under minimal supervision with a flexible attitude and be capable of solving problems and working to an agreed timescale to deliver on your projects. If you feel you have the necessary skills and experience to be successful in this role, click on APPLY today, forwarding an up-to-date copy of your CV for consideration in the first instance. No agencies please.
May 10, 2026
Full time
Junior Software Engineer Location: Office based, Whiteley PO15 7AF Salary: Competitive, depending on experience Contract: Full Time, Permanent Benefits: 27 days holiday (increasing 1 day each year), Flexible working hours, Share options, Company pension, Cycle to Work Scheme, Private Dental care About the company: iFAST Diagnostics is a medical device company that has developed a game-changing, rapid antimicrobial susceptibility test, that will enable the right antibiotic treatment for all patients with bacterial infections. Currently, these tests take 48-72 hours, but iFAST's tests are 10x faster giving full quantitative and qualitative results in under 3 hours from a positive blood culture or bacterial isolate. Job Role: We are seeking a Software Engineer or Computer Scientist to join our team as we roll out our instruments in the UK, having just received our UKCA approval for the first product. You will design, implement and test a variety of software including middleware, firmware and algorithm development which are integral to our novel medical diagnostic product Responsibilities: • Development of software for our current and future instruments, including algorithm development, processing code and middleware. • Writing code and algorithms in accordance with good Software practise Experience of relevant standards and medical device regulations would be beneficial (e.g. ISO 13485, ISO 9001 ISO 14971 and IEC 62304.) • Development of test plans and procedures, conducting and accurately documenting the tests at unit, sub-system and system level. • Working closely with internal and external stakeholders e.g. production, service, sales teams and suppliers. Knowledge, Skills & Experience: • Have experience of software development for medical devices or similar within an ISO regulated environment and be able to work to associated regulations such as IEC 62304. • Be able to work efficiently with source code management tools. • Be familiar with IEC 62304 compliant software development processes and standards to produce well documented, maintainable, and test-driven code. • Understand machine learning concepts and be able to choose appropriate techniques for a given task and dataset, including supervised learning. • Have a strong mathematical and statistical background and be able to apply this to algorithm development. • Have experience of writing software for controlling electromechanical equipment, ideally in C/C++, Python, MATLAB or PLC code. • Hold a (first or 2:1) degree in a relevant discipline. • Need to be able to work under minimal supervision with a flexible attitude and be capable of solving problems and working to an agreed timescale to deliver on your projects. If you feel you have the necessary skills and experience to be successful in this role, click on APPLY today, forwarding an up-to-date copy of your CV for consideration in the first instance. No agencies please.
Data Science & Measurement Lead Because your new ideas are our way new ways of working. Evolve, your way. We are seeking a Data Science & Measurement Lead to manage and grow a team of data scientists responsible for building advanced analytics, predictive models, and measurement solutions across Primark. This is a hands on role requiring strong technical depth in Databricks, Apache Spark, and SQL. What You'll Get People are at the heart of what we do here, so it's essential we provide you with the right environment to perform at your very best. Let's talk lifestyle: Healthcare, pension, and potential bonus. 27 days of leave, plus bank holidays and if you want, you can buy 5 more. Because Primark is all about tailoring to you, we offer Tax Saver Tickets, fitness centre, and a subsidised cafeteria. This role is a hybrid opportunity, offering 1-2 days Working from home. What You'll Do as a Data Science & Measurement Lead We want you to feel challenged and inspired. Here, you'll develop your skills across a range of responsibilities: Lead a data science team to deliver machine learning models, experimentation frameworks, and measurement solutions that drive measurable business impact. Design, build, and deploy end to end ML pipelines and workflows using Databricks, Spark, Python, SQL, and PySpark. Ensure robust operationalisation of models through scalable, reliable data pipelines and production ready ML systems. Partner closely with engineering teams to optimise distributed compute workloads and uphold data quality, monitoring, and governance standards. Establish and drive best practices in model reproducibility, experiment tracking, and end to end ML lifecycle management. Act as a trusted advisor by sharing deep technical expertise, developing team capability, and managing complex delivery plans. Leverage strong retail domain experience-ideally within apparel or grocery-to translate business needs into effective data driven solutions. What You'll Bring Here at Primark, we want everyone to feel valued - so please bring your authentic self to work, of course with some other key experience and abilities for this role in particular: Extensive hands on experience with Databricks, Apache Spark, advanced SQL, and cloud based lakehouse architectures (Azure, AWS, or GCP), with a strong foundation in statistical modelling and machine learning techniques. Proven ability to deliver measurable commercial value through retail focused data science use cases such as demand forecasting, pricing and promotion effectiveness, allocation, stock optimisation, and waste or shrink reduction. Strong experience in experimental design and causal inference (e.g., A/B testing, quasi experiments), with a clear focus on quantifying incremental value and ensuring insights translate into action. Demonstrated experience taking models from prototype to production, establishing clear success metrics, monitoring, governance, and driving adoption across commercial and operational teams. Ability to shape and prioritise the data science roadmap by balancing business value, data readiness, and delivery risk; applies sound commercial judgement informed by market and industry trends. Proven people leader with experience mentoring and developing high performing data science teams; communicates complex technical concepts clearly to non technical stakeholders and acts as a trusted advisor to the business. Does this sound like you? Great, because we can't wait to see what you'll bring. You'll be supported within a team of equally capable people, celebrating who you are and aiding you reach your potential. At Primark, we're excited about our future - and we're excited to develop yours. About Primark At Primark, people matter. They're the beating heart of our business and the reason we've grown from our first store in Dublin in 1969 to a £9bn+ turnover business and over 80,000 colleagues and over 440 stores in 17 countries today. Our values run through everything we do. In essence, we're Caring and always strive to put people first. We're also Dynamic, bravely pushing the boundaries to stay ahead. And finally, we succeed Together. If you need any reasonable adjustments or have an accessibility request, during your recruitment journey, such as extended time or breaks between online assessments, a sign language interpreter, mobility access, or assistive technology please contact your talent acquisition specialist. All offers of employment are subject to background checks, including right to work, reference education and for some roles criminal, and financial checks. If you have any concerns, please reach out to our talent acquisition team to discuss. Our fashion isn't one size fits all and neither is our culture. Primark promotes equal employment opportunity, we strive to create an inclusive workplace where people can be themselves, access opportunities and thrive together. REQ ID: JR-7582
May 10, 2026
Full time
Data Science & Measurement Lead Because your new ideas are our way new ways of working. Evolve, your way. We are seeking a Data Science & Measurement Lead to manage and grow a team of data scientists responsible for building advanced analytics, predictive models, and measurement solutions across Primark. This is a hands on role requiring strong technical depth in Databricks, Apache Spark, and SQL. What You'll Get People are at the heart of what we do here, so it's essential we provide you with the right environment to perform at your very best. Let's talk lifestyle: Healthcare, pension, and potential bonus. 27 days of leave, plus bank holidays and if you want, you can buy 5 more. Because Primark is all about tailoring to you, we offer Tax Saver Tickets, fitness centre, and a subsidised cafeteria. This role is a hybrid opportunity, offering 1-2 days Working from home. What You'll Do as a Data Science & Measurement Lead We want you to feel challenged and inspired. Here, you'll develop your skills across a range of responsibilities: Lead a data science team to deliver machine learning models, experimentation frameworks, and measurement solutions that drive measurable business impact. Design, build, and deploy end to end ML pipelines and workflows using Databricks, Spark, Python, SQL, and PySpark. Ensure robust operationalisation of models through scalable, reliable data pipelines and production ready ML systems. Partner closely with engineering teams to optimise distributed compute workloads and uphold data quality, monitoring, and governance standards. Establish and drive best practices in model reproducibility, experiment tracking, and end to end ML lifecycle management. Act as a trusted advisor by sharing deep technical expertise, developing team capability, and managing complex delivery plans. Leverage strong retail domain experience-ideally within apparel or grocery-to translate business needs into effective data driven solutions. What You'll Bring Here at Primark, we want everyone to feel valued - so please bring your authentic self to work, of course with some other key experience and abilities for this role in particular: Extensive hands on experience with Databricks, Apache Spark, advanced SQL, and cloud based lakehouse architectures (Azure, AWS, or GCP), with a strong foundation in statistical modelling and machine learning techniques. Proven ability to deliver measurable commercial value through retail focused data science use cases such as demand forecasting, pricing and promotion effectiveness, allocation, stock optimisation, and waste or shrink reduction. Strong experience in experimental design and causal inference (e.g., A/B testing, quasi experiments), with a clear focus on quantifying incremental value and ensuring insights translate into action. Demonstrated experience taking models from prototype to production, establishing clear success metrics, monitoring, governance, and driving adoption across commercial and operational teams. Ability to shape and prioritise the data science roadmap by balancing business value, data readiness, and delivery risk; applies sound commercial judgement informed by market and industry trends. Proven people leader with experience mentoring and developing high performing data science teams; communicates complex technical concepts clearly to non technical stakeholders and acts as a trusted advisor to the business. Does this sound like you? Great, because we can't wait to see what you'll bring. You'll be supported within a team of equally capable people, celebrating who you are and aiding you reach your potential. At Primark, we're excited about our future - and we're excited to develop yours. About Primark At Primark, people matter. They're the beating heart of our business and the reason we've grown from our first store in Dublin in 1969 to a £9bn+ turnover business and over 80,000 colleagues and over 440 stores in 17 countries today. Our values run through everything we do. In essence, we're Caring and always strive to put people first. We're also Dynamic, bravely pushing the boundaries to stay ahead. And finally, we succeed Together. If you need any reasonable adjustments or have an accessibility request, during your recruitment journey, such as extended time or breaks between online assessments, a sign language interpreter, mobility access, or assistive technology please contact your talent acquisition specialist. All offers of employment are subject to background checks, including right to work, reference education and for some roles criminal, and financial checks. If you have any concerns, please reach out to our talent acquisition team to discuss. Our fashion isn't one size fits all and neither is our culture. Primark promotes equal employment opportunity, we strive to create an inclusive workplace where people can be themselves, access opportunities and thrive together. REQ ID: JR-7582
A leading bioscience research institute in the UK is seeking a Postdoctoral Scientist to join the FlavourFerm consortium. The successful candidate will research the influence of fermented plant-based foods on the gut microbiome and develop machine learning tools for modeling microbial communities. A PhD in a relevant field and experience in bioinformatics and microbiology are essential. The position is full-time, with a salary range of £37,500 to £43,350 per annum and is valid until April 30, 2028. Closing date for applications is May 17, 2026.
May 10, 2026
Full time
A leading bioscience research institute in the UK is seeking a Postdoctoral Scientist to join the FlavourFerm consortium. The successful candidate will research the influence of fermented plant-based foods on the gut microbiome and develop machine learning tools for modeling microbial communities. A PhD in a relevant field and experience in bioinformatics and microbiology are essential. The position is full-time, with a salary range of £37,500 to £43,350 per annum and is valid until April 30, 2028. Closing date for applications is May 17, 2026.
Job type: Full-time Location: Oxford, with hybrid working options available Salary: Competitive salary Right to work: You must have the right to work in the UK Application deadline: 10th April OMass Therapeutics is a biotechnology company based in Oxford discovering medicines against highly-validated target ecosystems, such as membrane proteins or intracellular complexes. The company's unique OdyssION technology platform comprises novel biochemistry techniques, next-generation native mass spectrometry and custom formatted compound libraries for ultra-high throughput screening. OMass is advancing a pipeline of small molecule therapeutics in rare diseases and immunological conditions, that target solute carriers, complex-bound proteins, and GPCRs, with biophysical platform technologies at the core of drug discovery. We are seeking a Computational Chemist. You will be part of a dynamic and innovative environment and will become an integral part of our vision to address patients' unmet needs while building Britain's Biggest Biotech. You will use your cheminformatics/computational chemistry expertise and scientific curiosity to solve drug discovery challenges, as part of multi-disciplinary project teams. You will be able to work in state-of-the-art laboratory and modern facilities for optimum collaboration alongside a focused and caring team. You will already possess expert Computational Chemistry knowledge with experience in both Ligand and Structure-Based Design with industry experience in small molecule drug discovery. Discover more about OMass and our Employee Value Proposition. Essential Experience, Skills and Qualities Ph.D. in cheminformatics/computational chemistry or equivalent industrial experience. A significant amount of relevant industry experience in small molecule drug discovery across multiple projects from hit finding to candidate selection. An appreciation of relevant scientific disciplines that are related to drug discovery and early development such as target validation, pharmacology, generative molecular design approaches, SBDD, LBDD, ADME modelling, structural biology and drug safety/toxicology. Proficiency in scientific scripting for prototyping workflows (e.g., Python, Java, C++), enabling the delivery of project specific outputs such as executing virtual screens. Proficient with classical machine/deep learning model development. Innovative and ambitious mindset, with an inquisitive and agile approach to problem-solving and overcoming technical challenges; motivated to continuously learn and take on challenges. Caring and inclusive; respectful and receptive to others' diverse ideas, experience and perspectives, and enjoys working collaboratively with others as a team. Excellent communication skills, both written and verbal. Preferred Experience and Skills Experience of working across multiple target-types including membrane bound GPCRs & solute carriers and soluble proteins. Familiarity with Dotmatics and Schrodinger software suites in addition to a sound knowledge of chemical toolkits (e.g. RDKit) is preferred. Demonstrated ability to critically assess and communicate QSAR/ machine learning model limitations, uncertainty, and suitability for program use. Experience centred on lead optimisation and later stage project cycles, with the capability to independently lead the computational elements of the design-make-test-analyse (DMTA) cycle Experience of working in a matrix team. Role Responsibilities Promote and maintain the highest levels of scientific excellence in computational chemistry, to help deliver OMass' pipeline objectives. Contribute to drug discovery projects by proactively applying cheminformatics and computational chemistry techniques to drive programs forward, providing hands on program support and scientific partnership to project teams. Support and upskill project medicinal chemists by delivering training, coaching and practical guidance in computational chemistry approaches, tools and best practices. Publish science in high quality journals and publications. Give presentations on OMass' projects both at internal meetings and externally at conferences. Foster collaborations with academia to help ensure that the team operates at the highest levels of scientific excellence. Share information openly and work collaboratively with other departments to help advance different projects and achieve company goals. Promote and adhere to OMass' values of being Ambitious, Responsible, Innovative, Focused, Caring and Collaborative. Benefits Private Health Insurance Health and wellbeing cashback scheme Life Assurance and Income Protection Participation in Employee Equity Scheme 25 days annual leave, plus bank holidays Pension Scheme offering 6% employer contribution Learning and Development Opportunities Company social events Any queries relating to the role can be sent to . OMass Therapeutics values diversity and is committed to equality of opportunity, we also have full responsibility to ensure that all employees are eligible to work and live in the UK.
May 09, 2026
Full time
Job type: Full-time Location: Oxford, with hybrid working options available Salary: Competitive salary Right to work: You must have the right to work in the UK Application deadline: 10th April OMass Therapeutics is a biotechnology company based in Oxford discovering medicines against highly-validated target ecosystems, such as membrane proteins or intracellular complexes. The company's unique OdyssION technology platform comprises novel biochemistry techniques, next-generation native mass spectrometry and custom formatted compound libraries for ultra-high throughput screening. OMass is advancing a pipeline of small molecule therapeutics in rare diseases and immunological conditions, that target solute carriers, complex-bound proteins, and GPCRs, with biophysical platform technologies at the core of drug discovery. We are seeking a Computational Chemist. You will be part of a dynamic and innovative environment and will become an integral part of our vision to address patients' unmet needs while building Britain's Biggest Biotech. You will use your cheminformatics/computational chemistry expertise and scientific curiosity to solve drug discovery challenges, as part of multi-disciplinary project teams. You will be able to work in state-of-the-art laboratory and modern facilities for optimum collaboration alongside a focused and caring team. You will already possess expert Computational Chemistry knowledge with experience in both Ligand and Structure-Based Design with industry experience in small molecule drug discovery. Discover more about OMass and our Employee Value Proposition. Essential Experience, Skills and Qualities Ph.D. in cheminformatics/computational chemistry or equivalent industrial experience. A significant amount of relevant industry experience in small molecule drug discovery across multiple projects from hit finding to candidate selection. An appreciation of relevant scientific disciplines that are related to drug discovery and early development such as target validation, pharmacology, generative molecular design approaches, SBDD, LBDD, ADME modelling, structural biology and drug safety/toxicology. Proficiency in scientific scripting for prototyping workflows (e.g., Python, Java, C++), enabling the delivery of project specific outputs such as executing virtual screens. Proficient with classical machine/deep learning model development. Innovative and ambitious mindset, with an inquisitive and agile approach to problem-solving and overcoming technical challenges; motivated to continuously learn and take on challenges. Caring and inclusive; respectful and receptive to others' diverse ideas, experience and perspectives, and enjoys working collaboratively with others as a team. Excellent communication skills, both written and verbal. Preferred Experience and Skills Experience of working across multiple target-types including membrane bound GPCRs & solute carriers and soluble proteins. Familiarity with Dotmatics and Schrodinger software suites in addition to a sound knowledge of chemical toolkits (e.g. RDKit) is preferred. Demonstrated ability to critically assess and communicate QSAR/ machine learning model limitations, uncertainty, and suitability for program use. Experience centred on lead optimisation and later stage project cycles, with the capability to independently lead the computational elements of the design-make-test-analyse (DMTA) cycle Experience of working in a matrix team. Role Responsibilities Promote and maintain the highest levels of scientific excellence in computational chemistry, to help deliver OMass' pipeline objectives. Contribute to drug discovery projects by proactively applying cheminformatics and computational chemistry techniques to drive programs forward, providing hands on program support and scientific partnership to project teams. Support and upskill project medicinal chemists by delivering training, coaching and practical guidance in computational chemistry approaches, tools and best practices. Publish science in high quality journals and publications. Give presentations on OMass' projects both at internal meetings and externally at conferences. Foster collaborations with academia to help ensure that the team operates at the highest levels of scientific excellence. Share information openly and work collaboratively with other departments to help advance different projects and achieve company goals. Promote and adhere to OMass' values of being Ambitious, Responsible, Innovative, Focused, Caring and Collaborative. Benefits Private Health Insurance Health and wellbeing cashback scheme Life Assurance and Income Protection Participation in Employee Equity Scheme 25 days annual leave, plus bank holidays Pension Scheme offering 6% employer contribution Learning and Development Opportunities Company social events Any queries relating to the role can be sent to . OMass Therapeutics values diversity and is committed to equality of opportunity, we also have full responsibility to ensure that all employees are eligible to work and live in the UK.
Data Science Manager Salary: 100K - 120K + bonus + benefits Location: London (Hybrid) At Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable impact. This is a highly visible leadership role sitting at the intersection of data science, commercial strategy, and customer experience. The Opportunity As the Data Science Manager, you'll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long-term evolution of the organisation's AI and data science capability. This is a leadership role with real influence, balancing strategic direction with hands-on technical oversight where needed. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, advanced analytics, or statistical modelling Strong stakeholder management skills with the ability to influence senior leadership Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a data-driven environment where your insight directly influences marketing and commercial performance, please submit your CV for initial screening and further details. Data Science Manager
May 09, 2026
Full time
Data Science Manager Salary: 100K - 120K + bonus + benefits Location: London (Hybrid) At Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable impact. This is a highly visible leadership role sitting at the intersection of data science, commercial strategy, and customer experience. The Opportunity As the Data Science Manager, you'll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long-term evolution of the organisation's AI and data science capability. This is a leadership role with real influence, balancing strategic direction with hands-on technical oversight where needed. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, advanced analytics, or statistical modelling Strong stakeholder management skills with the ability to influence senior leadership Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a data-driven environment where your insight directly influences marketing and commercial performance, please submit your CV for initial screening and further details. Data Science Manager
Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function
May 08, 2026
Full time
Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function
Senior Data Scientist Location: UK Remote Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior Data Scientist to help develop advanced AI and analytics capabilities that power large-scale intelligence and data-driven products. This is an opportunity to work within a research-focused environment, building scalable machine learning models and AI systems across areas such as NLP, recommendation systems, predictive analytics, and workforce intelligence. The Role As a Senior Data Scientist, you will contribute to the development and optimisation of advanced machine learning and AI models while maintaining high standards of experimentation, validation, and responsible AI practices. You'll work closely with AI Engineers, Product teams, and cross-functional stakeholders to deliver scalable, production-ready solutions that drive measurable business value. Key Responsibilities Develop and refine machine learning models across NLP, classification, prediction, optimisation, and recommendation systems Apply generative AI and NLP techniques to improve modelling and data extraction capabilities Perform large-scale data analysis and transformation using SQL and cloud-native technologies Design and execute experimentation, benchmarking, and model validation frameworks Translate business and product challenges into scalable, data-driven solutions Collaborate with Engineering teams to productionise models and APIs Maintain best practices across reproducibility, explainability, and responsible AI Contribute to the development of knowledge-based and ontology-driven systems Required Skills & Experience Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics Strong Python and SQL skills Experience building models across NLP, prediction, optimisation, classification, or recommender systems Familiarity with embeddings, LLMs, and prompt engineering Experience working within AWS and/or Azure cloud environments Understanding of experimentation design, model validation, and reproducibility best practices Experience supporting model deployment into production environments Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Technology Stack Python, SQL, Databricks, PyTorch, Transformers/LLMs, Prompt Engineering, Pandas, Spark, AWS, Azure, PostgreSQL, FastAPI, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote UK-based role Opportunity to work on cutting-edge AI and machine learning products Collaborative, research-driven environment Exposure to modern AI, NLP, and cloud technologies Strong career development opportunities within a growing AI function
May 08, 2026
Full time
Senior Data Scientist Location: UK Remote Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior Data Scientist to help develop advanced AI and analytics capabilities that power large-scale intelligence and data-driven products. This is an opportunity to work within a research-focused environment, building scalable machine learning models and AI systems across areas such as NLP, recommendation systems, predictive analytics, and workforce intelligence. The Role As a Senior Data Scientist, you will contribute to the development and optimisation of advanced machine learning and AI models while maintaining high standards of experimentation, validation, and responsible AI practices. You'll work closely with AI Engineers, Product teams, and cross-functional stakeholders to deliver scalable, production-ready solutions that drive measurable business value. Key Responsibilities Develop and refine machine learning models across NLP, classification, prediction, optimisation, and recommendation systems Apply generative AI and NLP techniques to improve modelling and data extraction capabilities Perform large-scale data analysis and transformation using SQL and cloud-native technologies Design and execute experimentation, benchmarking, and model validation frameworks Translate business and product challenges into scalable, data-driven solutions Collaborate with Engineering teams to productionise models and APIs Maintain best practices across reproducibility, explainability, and responsible AI Contribute to the development of knowledge-based and ontology-driven systems Required Skills & Experience Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics Strong Python and SQL skills Experience building models across NLP, prediction, optimisation, classification, or recommender systems Familiarity with embeddings, LLMs, and prompt engineering Experience working within AWS and/or Azure cloud environments Understanding of experimentation design, model validation, and reproducibility best practices Experience supporting model deployment into production environments Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Technology Stack Python, SQL, Databricks, PyTorch, Transformers/LLMs, Prompt Engineering, Pandas, Spark, AWS, Azure, PostgreSQL, FastAPI, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote UK-based role Opportunity to work on cutting-edge AI and machine learning products Collaborative, research-driven environment Exposure to modern AI, NLP, and cloud technologies Strong career development opportunities within a growing AI function
