Data Engineers Position Description As a Senior Data Engineer, you will design and lead the implementation of data flows that link operational systems, analytics & BI platforms. You will be part of the Data Services team, which handles ingesting, storing, maintaining and exposing a variety of datasets. These datasets are used by analysts and data scientists to generate insights and support decision-making. The team is growing, and your role will involve bringing in new datasets, maintaining existing ones, and ensuring data is clean, accessible and high-quality Your future duties and responsibilities -Ingest new datasets as needed by the business. - Ensure all analytics-ready datasets are formatted clearly and meet high-quality standards. - Investigate and resolve any defects or discrepancies in the datasets. - Maintain the dataset catalogue and data dictionary so analysts/data scientists can easily find and use data. - Perform any other tasks that help ensure the datasets are coherent, well-maintained and available for end-users. Required qualifications to be successful in this role Communication - Engage effectively with both technical and non-technical stakeholders. - Lead discussions in multidisciplinary teams and handle differing viewpoints. - Represent and advocate for the Data Services team externally. - Data Analysis & Synthesis - Profile data and analyse source systems. - Present clear insights to support how data is used downstream. Data Development & Integration - Design, build and test large or complex data products. - Look for ways to improve data by providing "conformed" (standardised) datasets. - Choose and implement technologies that deliver resilient, scalable, future-proof data solutions. Data Modelling - Produce data models across multiple subject areas. - Explain the rationale behind choosing specific models. - Understand industry-recognised modelling standards and apply them appropriately. Metadata & Data Management - Ensure datasets are accompanied by appropriate metadata. - Know tools and practices for metadata storage and usage. - Oversee integrity, accessibility and searchability of data and metadata, and recommend improvements. Problem Resolution (Data) - Respond to problems in databases, data processes or data products as they arise. - Monitor services to identify trends and take preventative action. Programming / Build (Data Engineering) - Use agreed standards and tools to design, code, test, document and refactor moderate-to-complex programs and scripts. - Collaborate with others on specifications and reviews. Testing - Review requirements, define test conditions, identify risks and test issues. - Apply manual and automated testing as needed, analyse and report results. Technical Understanding & Innovation - Understand core technical concepts relevant to the role and apply them with guidance. - Stay aware of emerging trends, tools, techniques in data, and their impact on the organisation Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This position is available in Gloucester. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Apr 14, 2026
Full time
Data Engineers Position Description As a Senior Data Engineer, you will design and lead the implementation of data flows that link operational systems, analytics & BI platforms. You will be part of the Data Services team, which handles ingesting, storing, maintaining and exposing a variety of datasets. These datasets are used by analysts and data scientists to generate insights and support decision-making. The team is growing, and your role will involve bringing in new datasets, maintaining existing ones, and ensuring data is clean, accessible and high-quality Your future duties and responsibilities -Ingest new datasets as needed by the business. - Ensure all analytics-ready datasets are formatted clearly and meet high-quality standards. - Investigate and resolve any defects or discrepancies in the datasets. - Maintain the dataset catalogue and data dictionary so analysts/data scientists can easily find and use data. - Perform any other tasks that help ensure the datasets are coherent, well-maintained and available for end-users. Required qualifications to be successful in this role Communication - Engage effectively with both technical and non-technical stakeholders. - Lead discussions in multidisciplinary teams and handle differing viewpoints. - Represent and advocate for the Data Services team externally. - Data Analysis & Synthesis - Profile data and analyse source systems. - Present clear insights to support how data is used downstream. Data Development & Integration - Design, build and test large or complex data products. - Look for ways to improve data by providing "conformed" (standardised) datasets. - Choose and implement technologies that deliver resilient, scalable, future-proof data solutions. Data Modelling - Produce data models across multiple subject areas. - Explain the rationale behind choosing specific models. - Understand industry-recognised modelling standards and apply them appropriately. Metadata & Data Management - Ensure datasets are accompanied by appropriate metadata. - Know tools and practices for metadata storage and usage. - Oversee integrity, accessibility and searchability of data and metadata, and recommend improvements. Problem Resolution (Data) - Respond to problems in databases, data processes or data products as they arise. - Monitor services to identify trends and take preventative action. Programming / Build (Data Engineering) - Use agreed standards and tools to design, code, test, document and refactor moderate-to-complex programs and scripts. - Collaborate with others on specifications and reviews. Testing - Review requirements, define test conditions, identify risks and test issues. - Apply manual and automated testing as needed, analyse and report results. Technical Understanding & Innovation - Understand core technical concepts relevant to the role and apply them with guidance. - Stay aware of emerging trends, tools, techniques in data, and their impact on the organisation Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This position is available in Gloucester. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
The Role We are seeking an AI Security Research Scientist to join The Alan Turing Institute s Defence & National Security team, helping to strengthen the robustness, reliability, and resilience of AI systems used in high stakes environments. This is an exciting opportunity for a mathematically strong researcher to apply advanced modelling, optimisation, statistical, numerical and experimental skills to cutting-edge AI security challenges, working closely with researchers, engineers and external partners to turn innovative ideas into practical capabilities. The role would suit someone with a PhD or equivalent experience in a highly quantitative field, strong programming skills and the ability to work from first principles, learn quickly and communicate complex research clearly. Prior experience in machine learning or AI security is welcome but not essential, and eligibility for Developed Vetting (DV) clearance is required. Your Profile We are looking for a highly analytical researcher with a strong grounding in applied mathematics or a similarly quantitative discipline, backed by a PhD or equivalent experience involving advanced algorithmic, statistical or numerical methods and computer programming. The ideal candidate will be fluent in one or more modern data science languages, able to communicate research clearly through technical outputs and confident working independently while collaborating effectively with others. They will be someone who learns quickly, thinks from first principles and is excited by the challenge of applying rigorous mathematical and experimental thinking to complex AI security problems. Experience in areas such as optimisation, robustness, verification, deep learning, cybersecurity or AI red teaming would be an advantage, but just as important is the ability to move comfortably between theory, modelling and experimentation, engage with technical and non-technical stakeholders and meet the eligibility requirements for Developed Vetting (DV) clearance. How You'll Make an Impact Adapt, assess, and extend existing research (from within the Institute and beyond) to understand how it behaves in realistic operational settings. Formulate research questions that make novel ideas testable, measurable, and actionable for partners. Design and run rigorous deep learning and AI security experiments - from robustness and adversarial evaluations to interpretability studies and stress-testing emerging methods. Generate insights: analyse results, identify failure modes, characterise risks, and evaluate whether a method is ready to progress toward real-world use. Prototype and iterate on new approaches, working closely with Research Engineers to ensure experiments are rigorous, reproducible, and well implemented. Translate findings into technical reports, presentations, demonstrations, and early-stage capabilities that inform partners operational decisions. Contribute to the wider research community, sharing knowledge internally, participating in discussions, and contributing where appropriate to publications and open-source outputs. Application Procedure If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV (maximum 3 pages, no photo) and covering letter (maximum 2 pages). As this role requires eligibility for Developed Vetting (DV) clearance, it is an essential part of the application process that you include the following information as part of your cover letter: Your current nationality Your nationality at birth Other nationality (include dual nationality if applicable) Confirmation that you have been residing in the UK for the past 5 years (if you haven t, please provide details of when and where you resided and the reason) Country where you were born. County in which you were born. Town where you were born. Please note, if these details are not provided, we will be unable to progress with your application for this role. If you wish to share links to blog posts, public code repositories or research papers containing work that you have made significant contribution to, please add a link to those in your cover letter. For questions about the role and the recruiting process please get in touch with us at . If you would like to apply using a different format, please contact the Recruitment team. CLOSING DATE FOR APPLICATIONS: SUNDAY 26 APRIL 2026 AT 23:59 (LONDON, UK BST) We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received. Terms and Conditions This full-time post is offered on a permanent basis. The annual salary is £45,505-£51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance Eligibility for Developed Vetting (DV) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . Applicants should check if they are eligible for DV clearance before applying to this role. The successful candidate will be required to undergo a pre-screening check. This check will be carried out by HMG Defence and Security Partners. Please be advised, by submitting your application you are consenting to this check, and your personal details (full name, date of birth and home address) to be passed onto our HMG Defence and Security Partners to carry out this check. Many roles in the Defence and National Security Programme require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK or a NATO country depending on the vetting level required for the role, to allow for meaningful security vetting checks, amongst other factors. These roles are subject to security restrictions by Turing s partners. The restrictions mean that factors such as your nationality, any nationalities you may have previously held, your foreign connections, and your place of birth can restrict your eligibility to perform the role. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to tell us how we can assist you. Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check. Full details on the pre-employment screening process can be requested from .
Apr 14, 2026
Full time
The Role We are seeking an AI Security Research Scientist to join The Alan Turing Institute s Defence & National Security team, helping to strengthen the robustness, reliability, and resilience of AI systems used in high stakes environments. This is an exciting opportunity for a mathematically strong researcher to apply advanced modelling, optimisation, statistical, numerical and experimental skills to cutting-edge AI security challenges, working closely with researchers, engineers and external partners to turn innovative ideas into practical capabilities. The role would suit someone with a PhD or equivalent experience in a highly quantitative field, strong programming skills and the ability to work from first principles, learn quickly and communicate complex research clearly. Prior experience in machine learning or AI security is welcome but not essential, and eligibility for Developed Vetting (DV) clearance is required. Your Profile We are looking for a highly analytical researcher with a strong grounding in applied mathematics or a similarly quantitative discipline, backed by a PhD or equivalent experience involving advanced algorithmic, statistical or numerical methods and computer programming. The ideal candidate will be fluent in one or more modern data science languages, able to communicate research clearly through technical outputs and confident working independently while collaborating effectively with others. They will be someone who learns quickly, thinks from first principles and is excited by the challenge of applying rigorous mathematical and experimental thinking to complex AI security problems. Experience in areas such as optimisation, robustness, verification, deep learning, cybersecurity or AI red teaming would be an advantage, but just as important is the ability to move comfortably between theory, modelling and experimentation, engage with technical and non-technical stakeholders and meet the eligibility requirements for Developed Vetting (DV) clearance. How You'll Make an Impact Adapt, assess, and extend existing research (from within the Institute and beyond) to understand how it behaves in realistic operational settings. Formulate research questions that make novel ideas testable, measurable, and actionable for partners. Design and run rigorous deep learning and AI security experiments - from robustness and adversarial evaluations to interpretability studies and stress-testing emerging methods. Generate insights: analyse results, identify failure modes, characterise risks, and evaluate whether a method is ready to progress toward real-world use. Prototype and iterate on new approaches, working closely with Research Engineers to ensure experiments are rigorous, reproducible, and well implemented. Translate findings into technical reports, presentations, demonstrations, and early-stage capabilities that inform partners operational decisions. Contribute to the wider research community, sharing knowledge internally, participating in discussions, and contributing where appropriate to publications and open-source outputs. Application Procedure If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV (maximum 3 pages, no photo) and covering letter (maximum 2 pages). As this role requires eligibility for Developed Vetting (DV) clearance, it is an essential part of the application process that you include the following information as part of your cover letter: Your current nationality Your nationality at birth Other nationality (include dual nationality if applicable) Confirmation that you have been residing in the UK for the past 5 years (if you haven t, please provide details of when and where you resided and the reason) Country where you were born. County in which you were born. Town where you were born. Please note, if these details are not provided, we will be unable to progress with your application for this role. If you wish to share links to blog posts, public code repositories or research papers containing work that you have made significant contribution to, please add a link to those in your cover letter. For questions about the role and the recruiting process please get in touch with us at . If you would like to apply using a different format, please contact the Recruitment team. CLOSING DATE FOR APPLICATIONS: SUNDAY 26 APRIL 2026 AT 23:59 (LONDON, UK BST) We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received. Terms and Conditions This full-time post is offered on a permanent basis. The annual salary is £45,505-£51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance Eligibility for Developed Vetting (DV) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . Applicants should check if they are eligible for DV clearance before applying to this role. The successful candidate will be required to undergo a pre-screening check. This check will be carried out by HMG Defence and Security Partners. Please be advised, by submitting your application you are consenting to this check, and your personal details (full name, date of birth and home address) to be passed onto our HMG Defence and Security Partners to carry out this check. Many roles in the Defence and National Security Programme require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK or a NATO country depending on the vetting level required for the role, to allow for meaningful security vetting checks, amongst other factors. These roles are subject to security restrictions by Turing s partners. The restrictions mean that factors such as your nationality, any nationalities you may have previously held, your foreign connections, and your place of birth can restrict your eligibility to perform the role. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to tell us how we can assist you. Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check. Full details on the pre-employment screening process can be requested from .
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security (D&NS) theme at the Turing is looking to expand its Applied Research Group (ARG). As a team, ARG applies cutting edge research to real-world problems. Impact takes multiple forms: the fast development of a proof-of-concept to show what s possible; candid technical discussions to highlight what s not; and longer-term projects to deliver bespoke capabilities. Day-to-day, ARG collaborate closely with partners technical and subject-matter experts. The ARG is a cross-disciplinary team therefore able to respond to a wide variety of problem sets and encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. CANDIDATE PROFILE Please note that successful candidates will need to be eligible to undertake the DV clearance process once in-post and be willing to go through this process. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . In terms of the ideal candidate, we encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. You will have demonstrable experience in machine learning and be able to take initiative and carry out research independently. We are looking for candidates with experience in some of the following languages: Python, C, C++, Rust, Go. As well as the relevant technical experience successful candidates will have excellent written and verbal communications skills and the ability to clearly communicate complex or specialist information clearly and concisely. DUTIES AND AREAS OF RESPONSIBILITY Develop, implement and adapt state-of-the-art and novel data science and machine learning techniques to problems faced by ARG's partners. Contribute to high-quality collaborative applied research as part of the ARG, helping translate complex user requirements into deployable solutions. Perform experiments and develop capabilities, which might include building and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing/engineering systems and platforms or developing user interfaces and visualisations. Perform rigorous investigations into new algorithms and applications, providing consultancy to inform partners decisions and developing high-quality proof-of-concept outputs for real-world deployment. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This post is offered on a full-time fixed term basis until 30 April 2027. The annual salary is £42,593 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The role is based in London and will require some travel to partner-sites. Application procedure Please see our jobs portal for full details on how to apply and the interview process. We request specific information to be included when applying in the cover letter. Our portal goes through this in more detail so please take note of this when applying, or we may not be able to process your application. Closing date is Sunday 19 April at 23:59 (London, UK, BST). Equality Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed . We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
Apr 14, 2026
Full time
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security (D&NS) theme at the Turing is looking to expand its Applied Research Group (ARG). As a team, ARG applies cutting edge research to real-world problems. Impact takes multiple forms: the fast development of a proof-of-concept to show what s possible; candid technical discussions to highlight what s not; and longer-term projects to deliver bespoke capabilities. Day-to-day, ARG collaborate closely with partners technical and subject-matter experts. The ARG is a cross-disciplinary team therefore able to respond to a wide variety of problem sets and encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. CANDIDATE PROFILE Please note that successful candidates will need to be eligible to undertake the DV clearance process once in-post and be willing to go through this process. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . In terms of the ideal candidate, we encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. You will have demonstrable experience in machine learning and be able to take initiative and carry out research independently. We are looking for candidates with experience in some of the following languages: Python, C, C++, Rust, Go. As well as the relevant technical experience successful candidates will have excellent written and verbal communications skills and the ability to clearly communicate complex or specialist information clearly and concisely. DUTIES AND AREAS OF RESPONSIBILITY Develop, implement and adapt state-of-the-art and novel data science and machine learning techniques to problems faced by ARG's partners. Contribute to high-quality collaborative applied research as part of the ARG, helping translate complex user requirements into deployable solutions. Perform experiments and develop capabilities, which might include building and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing/engineering systems and platforms or developing user interfaces and visualisations. Perform rigorous investigations into new algorithms and applications, providing consultancy to inform partners decisions and developing high-quality proof-of-concept outputs for real-world deployment. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This post is offered on a full-time fixed term basis until 30 April 2027. The annual salary is £42,593 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The role is based in London and will require some travel to partner-sites. Application procedure Please see our jobs portal for full details on how to apply and the interview process. We request specific information to be included when applying in the cover letter. Our portal goes through this in more detail so please take note of this when applying, or we may not be able to process your application. Closing date is Sunday 19 April at 23:59 (London, UK, BST). Equality Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed . We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
The Role This is an exciting opportunity for a Senior Data Scientist to join The Alan Turing Institute s Defence & Security programme, working within the Electromagnetic Environment team to apply cutting-edge AI and data science to complex real-world challenges in the radio frequency domain. The role combines hands-on technical research with project leadership, involving the development and testing of advanced machine learning approaches, proof-of-concept solutions, and technical investigations that help defence and security partners better understand and exploit the electromagnetic environment. Working closely with researchers, engineers and external stakeholders, the postholder will lead and support exploratory projects, communicate findings through reports and presentations, and help shape future research in an agile, collaborative and mission-driven setting. Your Profile We re looking for a technically strong data scientist with deep experience in machine learning, AI or radio frequency signal analysis and a track record of applying advanced research to complex real-world problems. The ideal candidate will bring strong programming capability, ideally in Python, experience leading technical or research projects and the ability to work closely with stakeholders to shape problem definitions and deliver practical, high-quality outputs. They will be a confident communicator who can explain specialist ideas clearly, support and guide more junior colleagues and thrive in a collaborative, experimental environment that values autonomy, rigorous thinking and continuous learning. A background in areas such as physics, engineering, mathematics, radar, communications, or data science would be particularly valuable, along with eligibility to obtain UK SC clearance. How You'll Make an Impact Engage with scientists from the EME s Defence and Security partners to learn their aims and requirements and understand and identify problems they face. Apply state-of-the-art Machine Learning, Data Science, and radio frequency techniques emerging from the Institute, broader academia and industry to problems faced by EME partners, both as part of unclassified EME projects and on partner systems. Perform rigorous investigations into new algorithms and applications, providing consultancy to inform our Partners decisions and developing high-quality proof-of-concept outputs which can be deployed in real-world situations. Design and carry out rigorous experimentation and development with some guidance from Principal staff, both alone and in small teams, coaching junior team members and guiding collaborations to success. Present, disseminate and explain our work via presentations, reports and workshops. Provide technical project management and leadership for research projects, ensuring successful outcomes; Liaise with clients and colleagues to understand and prioritise project goals, balancing client value with research outputs. Take ownership of a particular domain challenge area or methodology for the group. Develop new projects in conjunction with colleagues, authoring research proposals and agreeing involvement for the group in activities across the institute. Application Procedure If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV and covering letter. If you have questions about the role or would like to apply using a different format, please contact us on or email . CLOSING DATE FOR APPLICATIONS: THURSDAY 30 APRIL AT 23:59 (LONDON, UK BST) We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received. Terms and Conditions This full-time post is offered on a fixed-term basis for 3 years. The annual salary is £54,612-£62,381 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance Must be eligible to hold a UK SC clearance and secure SC clearance within 6 months of the commencement of their employment, or in such longer period as the Institute may in its absolute discretion consider reasonable to obtain such clearance. Successful applicants will be subject to a Dstl research workers check at offer stage. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to tell us how we can assist you.
Apr 14, 2026
Full time
The Role This is an exciting opportunity for a Senior Data Scientist to join The Alan Turing Institute s Defence & Security programme, working within the Electromagnetic Environment team to apply cutting-edge AI and data science to complex real-world challenges in the radio frequency domain. The role combines hands-on technical research with project leadership, involving the development and testing of advanced machine learning approaches, proof-of-concept solutions, and technical investigations that help defence and security partners better understand and exploit the electromagnetic environment. Working closely with researchers, engineers and external stakeholders, the postholder will lead and support exploratory projects, communicate findings through reports and presentations, and help shape future research in an agile, collaborative and mission-driven setting. Your Profile We re looking for a technically strong data scientist with deep experience in machine learning, AI or radio frequency signal analysis and a track record of applying advanced research to complex real-world problems. The ideal candidate will bring strong programming capability, ideally in Python, experience leading technical or research projects and the ability to work closely with stakeholders to shape problem definitions and deliver practical, high-quality outputs. They will be a confident communicator who can explain specialist ideas clearly, support and guide more junior colleagues and thrive in a collaborative, experimental environment that values autonomy, rigorous thinking and continuous learning. A background in areas such as physics, engineering, mathematics, radar, communications, or data science would be particularly valuable, along with eligibility to obtain UK SC clearance. How You'll Make an Impact Engage with scientists from the EME s Defence and Security partners to learn their aims and requirements and understand and identify problems they face. Apply state-of-the-art Machine Learning, Data Science, and radio frequency techniques emerging from the Institute, broader academia and industry to problems faced by EME partners, both as part of unclassified EME projects and on partner systems. Perform rigorous investigations into new algorithms and applications, providing consultancy to inform our Partners decisions and developing high-quality proof-of-concept outputs which can be deployed in real-world situations. Design and carry out rigorous experimentation and development with some guidance from Principal staff, both alone and in small teams, coaching junior team members and guiding collaborations to success. Present, disseminate and explain our work via presentations, reports and workshops. Provide technical project management and leadership for research projects, ensuring successful outcomes; Liaise with clients and colleagues to understand and prioritise project goals, balancing client value with research outputs. Take ownership of a particular domain challenge area or methodology for the group. Develop new projects in conjunction with colleagues, authoring research proposals and agreeing involvement for the group in activities across the institute. Application Procedure If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV and covering letter. If you have questions about the role or would like to apply using a different format, please contact us on or email . CLOSING DATE FOR APPLICATIONS: THURSDAY 30 APRIL AT 23:59 (LONDON, UK BST) We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received. Terms and Conditions This full-time post is offered on a fixed-term basis for 3 years. The annual salary is £54,612-£62,381 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance Must be eligible to hold a UK SC clearance and secure SC clearance within 6 months of the commencement of their employment, or in such longer period as the Institute may in its absolute discretion consider reasonable to obtain such clearance. Successful applicants will be subject to a Dstl research workers check at offer stage. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to tell us how we can assist you.
The Role This is a fantastic opportunity for a Data Scientist to join The Alan Turing Institute s Defence & Security programme, working within the Electromagnetic Environment team to apply AI, machine learning and data science to complex real-world challenges in the radio frequency domain. The role will focus on investigating emerging technologies, developing proof-of-concept solutions, and translating cutting-edge research into practical applications that support defence and security partners. Working closely with researchers, engineers and stakeholders, the postholder will contribute to experimental projects, communicate findings through reports and presentations, and help advance innovative approaches in a collaborative, mission-driven environment. Your Profile We re looking for a technically strong data scientist with experience in machine learning, AI or radio frequency signal analysis, and a track record of applying advanced methods to complex real-world problems. The ideal candidate will bring strong programming skills, ideally in Python, an understanding of good software and reproducible research practices, and experience working with stakeholders to shape and deliver impactful technical work. They ll be an effective communicator who can explain complex ideas clearly, work independently as well as collaboratively, and thrive in an agile, research-led environment where experimentation, learning and innovation are central. A background in areas such as physics, engineering, mathematics, communications, radar or data science would be especially valuable, along with the ability to obtain UK Security Clearance. Duties and Areas of Responsibilities Engage with scientists from the EME s Defence and Security partners to learn their aims and requirements and understand and identify problems they face. Apply state-of-the-art Machine Learning, Data Science, and radio frequency techniques emerging from the Institute, broader academia and industry to problems faced by EME partners, both as part of unclassified EME projects and on partner systems. Perform rigorous investigations into new algorithms and applications, providing consultancy to inform our Partners decisions and developing high-quality proof-of concept outputs which can be deployed in real-world situations. Design and carry out rigorous experimentation and development with some guidance from Principal staff, both alone and in small teams, and guiding collaborations to success. Present, disseminate and explain our work via presentations, reports and workshops. Liaise with clients and colleagues to understand and prioritise project goals, balancing client value with research outputs Application Procedure If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV and covering letter. If you have questions about the role or would like to apply using a different format, please contact us on or email . CLOSING DATE FOR APPLICATIONS: THURSDAY 30 APRIL AT 23:59 (LONDON, UK BST) We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received. Terms and Conditions This full-time post is offered on a fixed-term basis for 3 years. The annual salary is £45,505-£51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance Must be eligible to hold a UK SC clearance and secure SC clearance within 6 months of the commencement of their employment, or in such longer period as the Institute may in its absolute discretion consider reasonable to obtain such clearance. Successful applicants will be subject to a Dstl research workers check at offer stage. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to tell us how we can assist you.
Apr 14, 2026
Full time
The Role This is a fantastic opportunity for a Data Scientist to join The Alan Turing Institute s Defence & Security programme, working within the Electromagnetic Environment team to apply AI, machine learning and data science to complex real-world challenges in the radio frequency domain. The role will focus on investigating emerging technologies, developing proof-of-concept solutions, and translating cutting-edge research into practical applications that support defence and security partners. Working closely with researchers, engineers and stakeholders, the postholder will contribute to experimental projects, communicate findings through reports and presentations, and help advance innovative approaches in a collaborative, mission-driven environment. Your Profile We re looking for a technically strong data scientist with experience in machine learning, AI or radio frequency signal analysis, and a track record of applying advanced methods to complex real-world problems. The ideal candidate will bring strong programming skills, ideally in Python, an understanding of good software and reproducible research practices, and experience working with stakeholders to shape and deliver impactful technical work. They ll be an effective communicator who can explain complex ideas clearly, work independently as well as collaboratively, and thrive in an agile, research-led environment where experimentation, learning and innovation are central. A background in areas such as physics, engineering, mathematics, communications, radar or data science would be especially valuable, along with the ability to obtain UK Security Clearance. Duties and Areas of Responsibilities Engage with scientists from the EME s Defence and Security partners to learn their aims and requirements and understand and identify problems they face. Apply state-of-the-art Machine Learning, Data Science, and radio frequency techniques emerging from the Institute, broader academia and industry to problems faced by EME partners, both as part of unclassified EME projects and on partner systems. Perform rigorous investigations into new algorithms and applications, providing consultancy to inform our Partners decisions and developing high-quality proof-of concept outputs which can be deployed in real-world situations. Design and carry out rigorous experimentation and development with some guidance from Principal staff, both alone and in small teams, and guiding collaborations to success. Present, disseminate and explain our work via presentations, reports and workshops. Liaise with clients and colleagues to understand and prioritise project goals, balancing client value with research outputs Application Procedure If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV and covering letter. If you have questions about the role or would like to apply using a different format, please contact us on or email . CLOSING DATE FOR APPLICATIONS: THURSDAY 30 APRIL AT 23:59 (LONDON, UK BST) We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received. Terms and Conditions This full-time post is offered on a fixed-term basis for 3 years. The annual salary is £45,505-£51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance Must be eligible to hold a UK SC clearance and secure SC clearance within 6 months of the commencement of their employment, or in such longer period as the Institute may in its absolute discretion consider reasonable to obtain such clearance. Successful applicants will be subject to a Dstl research workers check at offer stage. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to tell us how we can assist you.
A leading technology company in the UK is seeking a Machine Learning Engineer. In this role, you will be responsible for the data lifecycle that fuels agent research. You'll design and build data pipelines, ensure data quality, and collaborate closely with research scientists. The ideal candidate should have strong skills in Python, experience with data workflows, and a collaborative approach. This opportunity offers competitive benefits and a dynamic work environment.
Apr 14, 2026
Full time
A leading technology company in the UK is seeking a Machine Learning Engineer. In this role, you will be responsible for the data lifecycle that fuels agent research. You'll design and build data pipelines, ensure data quality, and collaborate closely with research scientists. The ideal candidate should have strong skills in Python, experience with data workflows, and a collaborative approach. This opportunity offers competitive benefits and a dynamic work environment.
A leading online travel agency is seeking a Data Scientist III, Customer Analytics to support its B2C brands. This role involves applying advanced analytical techniques and using data to enhance the customer value proposition. The ideal candidate will have a strong background in Python and SQL, with at least 3 years of analytical experience. The successful applicant will thrive in a flexible work environment located in London, collaborating with cross-functional teams and influencing strategic decisions based on data-driven insights.
Apr 14, 2026
Full time
A leading online travel agency is seeking a Data Scientist III, Customer Analytics to support its B2C brands. This role involves applying advanced analytical techniques and using data to enhance the customer value proposition. The ideal candidate will have a strong background in Python and SQL, with at least 3 years of analytical experience. The successful applicant will thrive in a flexible work environment located in London, collaborating with cross-functional teams and influencing strategic decisions based on data-driven insights.
Ready to make massive impact with microscopic magic? Are you an Optics Manufacturing Engineer who thrives when translating high-performance designs into robust, repeatable manufacturing processes? Can you maintain the precision, stability, and reliability required for AFM systems? The successful candidate will work at the intersection of mechanical engineering, optical alignment, and precision assembly. If this sounds like you, read on . Reward and Benefits £45,000 to £58,000 (depending on experience) 25 days annual leave, death in service and private health care benefits, personal pension contributions of 4% with salary sacrifice and a generous EMI Share scheme Based in Abingdon, Oxford, UK, we are a high calibre team of 100+ people and we are growing fast. We are backed by global financial and industry investors including Applied Ventures, the strategic venture arm of the industry leading equipment company. About the role You'll be collaborating closely with design engineering, supply chain, and quality teams to develop scalable build processes for high precision opto mechanical systems. A typical day for an Optics Manufacturing Engineer could look like this: Manufacturing Process Development Developing and implementing robust manufacturing processes for complex optomechanical assemblies used in AFM systems Translating prototype builds into scalable, reliable production workflows while protecting precision and repeatability Designing assembly procedures, tooling, fixtures and clear work instructions that support the team Establishing process capability and building manufacturing readiness for new product introductions Opto Mechanical Assembly & Alignment Leading the development of precise assembly and alignment processes for optical and mechanical subsystems Defining supportive best practices for handling and integrating sensitive optical components, sensors and precision stages Creating intuitive procedures for optical alignment, calibration and verification within production environments New Product Introduction (NPI) Partnering closely with Engineering to guide smooth design transfer into production Providing thoughtful, practical Design for Manufacturing feedback throughout development Supporting pilot builds, validation builds and early production ramps with a calm, collaborative approach Identifying and resolving manufacturing challenges early and constructively Production Scaling Collaborating with Quality to lift throughput, yield and overall consistency Spotting opportunities for gentle automation, modularisation and better assembly flow Supporting production ramp planning as manufacturing capacity grows Tooling, Fixtures & Test Systems Designing and implementing precision tooling and fixtures that enable repeatable, confident optomechanical assembly Developing supportive test and calibration setups to validate system performance during production Working closely with Engineering, NPI, Quality, Supply Chain and Customer Support to keep everyone aligned Supporting supplier development for precision components and optical assemblies Contributing to root cause investigations for manufacturing or field performance issues Offering technical support and encouragement to production technicians and wider manufacturing teams Who we are looking for Working in low volume, highly complex opto mechanical equipment manufacturing scale up environments Expert knowledge of optics & optical systems; including lasers & optical fibre Familiarity with systems involving vibration isolation and precision motion control Working in a fast paced environment where good judgement needs to be exercised Familiarity with manufacturing techniques for tight tolerance systems Extensive knowledge of DFM, operational excellence and process capability methods Ownership mindset - promotes accountability for outcomes Leadership mindset - solves for business need, not just departmental Hands on problem solver who thrives in highly technical environments Nice to have Experience in semiconductor equipment and/or laser manufacturing Proficiency with CAD tools and engineering documentation Education / Qualifications Either a degree in Physics or Engineering or similar, or a clear equivalent path through relevant apprenticeship or accumulated experience. Over 5 years' experience in a relevant industry We look for these attributes for our team Self management: Able to work independently, setting priorities for own work based upon the company goals and targets. Teamwork: Engages with other members of the company to bring the best solutions to the problem. Recognises the value that fellow company members bring to enhance own abilities. Supports colleagues with their tasks when critical to the company goals. Impact and Influence: Establishes itself as the knowledge centre in its own field. Ownership & Initiative: Reacts and addresses both short and medium term issues and proactively takes action to solve them. Results Orientation: Focuses on the company goal, avoids distraction, making timely decisions to achieve the target. A bit about us Infinitesima is a privately owned company founded in 2001, as a spin out of the University of Bristol, by CTO Professor Andrew Humphris. Our dynamic team of scientists and engineers is focussed on enabling the next generation of semiconductor devices through delivery of innovative products to customers around the world. Our strength lies in the varied perspectives that come from different cultures, experiences, and identities. We believe that true innovation is fuelled by collaboration, locally and globally. We strive to foster an environment where everyone can contribute meaningfully and thrive. If you require adjustments to take part in the recruitment process, please let us know, we'll do our best to support you. A note on how we run interviews We use AI only to transcribe our interviews so we can focus fully on you instead of scribbling notes. The AI does not take part in any decision making at any stage. All hiring decisions are made by real humans based on the conversation we have with you. Note to recruitment agencies Infinitesima Ltd only works with approved agencies and does not accept unsolicited agency CVs. Please do not submit candidate details in response to this advert, or to any Infinitesima Ltd employees. Infinitesima Ltd is not responsible for any fees related to unsolicited CVs.
Apr 14, 2026
Full time
Ready to make massive impact with microscopic magic? Are you an Optics Manufacturing Engineer who thrives when translating high-performance designs into robust, repeatable manufacturing processes? Can you maintain the precision, stability, and reliability required for AFM systems? The successful candidate will work at the intersection of mechanical engineering, optical alignment, and precision assembly. If this sounds like you, read on . Reward and Benefits £45,000 to £58,000 (depending on experience) 25 days annual leave, death in service and private health care benefits, personal pension contributions of 4% with salary sacrifice and a generous EMI Share scheme Based in Abingdon, Oxford, UK, we are a high calibre team of 100+ people and we are growing fast. We are backed by global financial and industry investors including Applied Ventures, the strategic venture arm of the industry leading equipment company. About the role You'll be collaborating closely with design engineering, supply chain, and quality teams to develop scalable build processes for high precision opto mechanical systems. A typical day for an Optics Manufacturing Engineer could look like this: Manufacturing Process Development Developing and implementing robust manufacturing processes for complex optomechanical assemblies used in AFM systems Translating prototype builds into scalable, reliable production workflows while protecting precision and repeatability Designing assembly procedures, tooling, fixtures and clear work instructions that support the team Establishing process capability and building manufacturing readiness for new product introductions Opto Mechanical Assembly & Alignment Leading the development of precise assembly and alignment processes for optical and mechanical subsystems Defining supportive best practices for handling and integrating sensitive optical components, sensors and precision stages Creating intuitive procedures for optical alignment, calibration and verification within production environments New Product Introduction (NPI) Partnering closely with Engineering to guide smooth design transfer into production Providing thoughtful, practical Design for Manufacturing feedback throughout development Supporting pilot builds, validation builds and early production ramps with a calm, collaborative approach Identifying and resolving manufacturing challenges early and constructively Production Scaling Collaborating with Quality to lift throughput, yield and overall consistency Spotting opportunities for gentle automation, modularisation and better assembly flow Supporting production ramp planning as manufacturing capacity grows Tooling, Fixtures & Test Systems Designing and implementing precision tooling and fixtures that enable repeatable, confident optomechanical assembly Developing supportive test and calibration setups to validate system performance during production Working closely with Engineering, NPI, Quality, Supply Chain and Customer Support to keep everyone aligned Supporting supplier development for precision components and optical assemblies Contributing to root cause investigations for manufacturing or field performance issues Offering technical support and encouragement to production technicians and wider manufacturing teams Who we are looking for Working in low volume, highly complex opto mechanical equipment manufacturing scale up environments Expert knowledge of optics & optical systems; including lasers & optical fibre Familiarity with systems involving vibration isolation and precision motion control Working in a fast paced environment where good judgement needs to be exercised Familiarity with manufacturing techniques for tight tolerance systems Extensive knowledge of DFM, operational excellence and process capability methods Ownership mindset - promotes accountability for outcomes Leadership mindset - solves for business need, not just departmental Hands on problem solver who thrives in highly technical environments Nice to have Experience in semiconductor equipment and/or laser manufacturing Proficiency with CAD tools and engineering documentation Education / Qualifications Either a degree in Physics or Engineering or similar, or a clear equivalent path through relevant apprenticeship or accumulated experience. Over 5 years' experience in a relevant industry We look for these attributes for our team Self management: Able to work independently, setting priorities for own work based upon the company goals and targets. Teamwork: Engages with other members of the company to bring the best solutions to the problem. Recognises the value that fellow company members bring to enhance own abilities. Supports colleagues with their tasks when critical to the company goals. Impact and Influence: Establishes itself as the knowledge centre in its own field. Ownership & Initiative: Reacts and addresses both short and medium term issues and proactively takes action to solve them. Results Orientation: Focuses on the company goal, avoids distraction, making timely decisions to achieve the target. A bit about us Infinitesima is a privately owned company founded in 2001, as a spin out of the University of Bristol, by CTO Professor Andrew Humphris. Our dynamic team of scientists and engineers is focussed on enabling the next generation of semiconductor devices through delivery of innovative products to customers around the world. Our strength lies in the varied perspectives that come from different cultures, experiences, and identities. We believe that true innovation is fuelled by collaboration, locally and globally. We strive to foster an environment where everyone can contribute meaningfully and thrive. If you require adjustments to take part in the recruitment process, please let us know, we'll do our best to support you. A note on how we run interviews We use AI only to transcribe our interviews so we can focus fully on you instead of scribbling notes. The AI does not take part in any decision making at any stage. All hiring decisions are made by real humans based on the conversation we have with you. Note to recruitment agencies Infinitesima Ltd only works with approved agencies and does not accept unsolicited agency CVs. Please do not submit candidate details in response to this advert, or to any Infinitesima Ltd employees. Infinitesima Ltd is not responsible for any fees related to unsolicited CVs.
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Data Scientist III, Customer Analytics Our Corporate Functions are made up of teams that support Expedia Group, including our Global Finance Org., Yield and Analytics, Traveler and Partner Service Platform, Legal Team, Strategy and Corporate Development Team, and People & Places Org. Are you passionate about data and analytics? Do you want to be at the forefront of a truly customer centric organization. We are looking for a hardworking and intelligent individual to fill the Data Scientist III, Customer Analytics (Individual Contributor) role, supporting our B2C brands. As a core member of our team, you will be working with data and applying advanced data science techniques in a fun and stimulating environment. There are a variety of exciting projects that you will work on to drive business strategy. Your insights will be used to enhance our customer value proposition, improve customer acquisition and engagement, drive customer lifetime value, deliver an amazing customer experience and better understand the customer behaviour across multiple brands own by Expedia Group. This is an exciting opportunity for a team player who wants to be a central part of a truly customer focused team. The successful individual will be able to work with minimal instruction and oversight, enjoy working on multiple tasks and projects at the same time and own projects end to end. Critical to your success in this role is a love of data (we love data!) - developing insightful analysis that you communicate in a clear and compelling way. What you'll do: Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders' decision making Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions Own the relationships with our Brands stakeholders and cross functional Analytics teams, and work autonomously to prioritise and execute on the most impactful analytics projects Influence partners and senior leaders through communicating across various levels of the organization using clear and compelling storytelling and presentations Prioritise multiple tasks and workstreams simultaneously and own projects end to end Who you are: Bachelor's, Master's, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable 3+ years of experience in a similar analytical role Strong Python and SQL skills with demonstrated experience to structure, transform and analyze large data, and a willingness to learn new frameworks and languages required for the task Prior experience in predictive modelling, forecast and/or causal inference Display a true passion for data and analytics as well as possessing a strong commercial awareness. A high performing individual contributor who consistently applies - and often enhances - the analytical capabilities, principles and playbooks to solve complex business issues and opportunities Develops and drives significant and sustained change and performance improvement from data driven insights in a number of different areas or contexts Experience partnering with senior management and collaborating with other teams (eg. Product, Engineering, Strategy etc) to deliver projects Experience of developing, and delivering, presentations that help people understand the insight from sophisticated analytics Ability to perform in a high pressure, dynamic environment and be comfortable with a high level of ambiguity. Please note that this role is only available in the following locations: London, in alignment with our flexible work model which requires employees to be in office at least three days a week. 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. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is 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.
Apr 14, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Data Scientist III, Customer Analytics Our Corporate Functions are made up of teams that support Expedia Group, including our Global Finance Org., Yield and Analytics, Traveler and Partner Service Platform, Legal Team, Strategy and Corporate Development Team, and People & Places Org. Are you passionate about data and analytics? Do you want to be at the forefront of a truly customer centric organization. We are looking for a hardworking and intelligent individual to fill the Data Scientist III, Customer Analytics (Individual Contributor) role, supporting our B2C brands. As a core member of our team, you will be working with data and applying advanced data science techniques in a fun and stimulating environment. There are a variety of exciting projects that you will work on to drive business strategy. Your insights will be used to enhance our customer value proposition, improve customer acquisition and engagement, drive customer lifetime value, deliver an amazing customer experience and better understand the customer behaviour across multiple brands own by Expedia Group. This is an exciting opportunity for a team player who wants to be a central part of a truly customer focused team. The successful individual will be able to work with minimal instruction and oversight, enjoy working on multiple tasks and projects at the same time and own projects end to end. Critical to your success in this role is a love of data (we love data!) - developing insightful analysis that you communicate in a clear and compelling way. What you'll do: Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders' decision making Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions Own the relationships with our Brands stakeholders and cross functional Analytics teams, and work autonomously to prioritise and execute on the most impactful analytics projects Influence partners and senior leaders through communicating across various levels of the organization using clear and compelling storytelling and presentations Prioritise multiple tasks and workstreams simultaneously and own projects end to end Who you are: Bachelor's, Master's, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable 3+ years of experience in a similar analytical role Strong Python and SQL skills with demonstrated experience to structure, transform and analyze large data, and a willingness to learn new frameworks and languages required for the task Prior experience in predictive modelling, forecast and/or causal inference Display a true passion for data and analytics as well as possessing a strong commercial awareness. A high performing individual contributor who consistently applies - and often enhances - the analytical capabilities, principles and playbooks to solve complex business issues and opportunities Develops and drives significant and sustained change and performance improvement from data driven insights in a number of different areas or contexts Experience partnering with senior management and collaborating with other teams (eg. Product, Engineering, Strategy etc) to deliver projects Experience of developing, and delivering, presentations that help people understand the insight from sophisticated analytics Ability to perform in a high pressure, dynamic environment and be comfortable with a high level of ambiguity. Please note that this role is only available in the following locations: London, in alignment with our flexible work model which requires employees to be in office at least three days a week. 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. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is 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.
At Optimove, we believe people are capable of more than a single job description. You're not hired just to fill a position you're empowered to shape it, grow it, and make it your own. We call this being Positionless. And Positionless isn't just our culture. It's our product. Optimove is the creator of Positionless Marketing, an AI-powered platform that gives every marketer the power to analyze, create, launch, and optimize independently. The result is faster execution, deeper personalization, and 88% greater campaign efficiency. Recognized as a Visionary in Gartner's Magic Quadrant, we partner with leading brands like Sephora, Staples, and Entain. Today, more than 550 Optimovers across NYC, London, Tel Aviv, Scotland, Brazil, Estonia, and beyond are building the future of marketing together, in an environment that actively encourages ownership and growth, with two out of every three managers promoted from within. If you're looking for a place where you can do more, be more, come grow with us. Based in Dundee, Scotland, our R&D operation is a dynamic environment, where every developer can impact the flow of technology - from introducing the smallest library to making big infrastructure changes. We welcome open minded developers who like to share knowledge and help each other to push Optimove forward using the cutting edge of today's tech. The MLOps team is responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. Key responsibilities include: Managing and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines, monitoring systems, and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for cloud environments. This team will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence and we're looking for a Full Stack Software Engineer to be part of it! Responsibilities: Develop and maintain pipelines for model deployment and monitoring. Collaborate with data scientists to integrate ML models into production systems. Manage cloud infrastructure and resources for ML workflows. Assist in automating repetitive tasks and implementing best practices. Requirements: 2+ years of experience in DevOps, MLOps, or a related role. Proficiency in Python and ML frameworks like TensorFlow or PyTorch. Familiarity with AWS services (e.g., EC2, S3, SageMaker). Knowledge of CI/CD tools and workflows. Basic understanding of containerization (Docker) and orchestration (Kubernetes). Strong debugging and troubleshooting skills. Willingness to learn and adapt to new technologies. Optimove offers a vibrant, people first culture where innovation, ownership, and continuous learning shape everything we do. Our UK team enjoys a modern office with a hybrid work model, daily lunch budget when onsite, and a fully stocked kitchen, along with a wide range of social events throughout the year. We're committed to helping our people grow in an inclusive, supportive workplace recognised as one of the UK's Best Workplaces in Tech and for Wellbeing. Create a Job Alert Interested in building your career at Optimove? Get future opportunities sent straight to your email. Apply for this job Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.
Apr 14, 2026
Full time
At Optimove, we believe people are capable of more than a single job description. You're not hired just to fill a position you're empowered to shape it, grow it, and make it your own. We call this being Positionless. And Positionless isn't just our culture. It's our product. Optimove is the creator of Positionless Marketing, an AI-powered platform that gives every marketer the power to analyze, create, launch, and optimize independently. The result is faster execution, deeper personalization, and 88% greater campaign efficiency. Recognized as a Visionary in Gartner's Magic Quadrant, we partner with leading brands like Sephora, Staples, and Entain. Today, more than 550 Optimovers across NYC, London, Tel Aviv, Scotland, Brazil, Estonia, and beyond are building the future of marketing together, in an environment that actively encourages ownership and growth, with two out of every three managers promoted from within. If you're looking for a place where you can do more, be more, come grow with us. Based in Dundee, Scotland, our R&D operation is a dynamic environment, where every developer can impact the flow of technology - from introducing the smallest library to making big infrastructure changes. We welcome open minded developers who like to share knowledge and help each other to push Optimove forward using the cutting edge of today's tech. The MLOps team is responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. Key responsibilities include: Managing and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines, monitoring systems, and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for cloud environments. This team will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence and we're looking for a Full Stack Software Engineer to be part of it! Responsibilities: Develop and maintain pipelines for model deployment and monitoring. Collaborate with data scientists to integrate ML models into production systems. Manage cloud infrastructure and resources for ML workflows. Assist in automating repetitive tasks and implementing best practices. Requirements: 2+ years of experience in DevOps, MLOps, or a related role. Proficiency in Python and ML frameworks like TensorFlow or PyTorch. Familiarity with AWS services (e.g., EC2, S3, SageMaker). Knowledge of CI/CD tools and workflows. Basic understanding of containerization (Docker) and orchestration (Kubernetes). Strong debugging and troubleshooting skills. Willingness to learn and adapt to new technologies. Optimove offers a vibrant, people first culture where innovation, ownership, and continuous learning shape everything we do. Our UK team enjoys a modern office with a hybrid work model, daily lunch budget when onsite, and a fully stocked kitchen, along with a wide range of social events throughout the year. We're committed to helping our people grow in an inclusive, supportive workplace recognised as one of the UK's Best Workplaces in Tech and for Wellbeing. Create a Job Alert Interested in building your career at Optimove? Get future opportunities sent straight to your email. Apply for this job Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.
Your new company A rapidly scaling biotech business at the intersection of science, manufacturing and commercial growth. This is an innovative organisation operating in a regulated environment, with big ambitions and a product that genuinely makes an impact. Finance sits at the heart of the business, partnering closely with scientists, manufacturing teams and senior leaders as the company moves through its next phase of growth. Your new role As Interim Finance Manager, you'll play a pivotal role in a fast-moving biotech operation, taking full ownership of the management accounting function and acting as the day-to-day finance lead. This is a highly visible role where you'll combine hands-on delivery with true business partnering across technical and commercial teams.Your responsibilities will include: Owning the monthly close, management reporting and financial analysis Leading costing and manufacturing accounting, including complex stock and inventory reconciliation Acting as the internal finance SME while overseeing outsourced accounting support Driving forecasting, budgeting and cash flow planning in a high-growth environment Partnering closely with manufacturing, sales and marketing teams to support decision-making Supporting strong financial controls within a fast-paced tech setting. Reporting directly into senior finance leadership What you'll need to succeed Experience within a manufacturing or product-based business Strong costing and inventory accounting expertise Proven management accounting, forecasting and budgeting capability Comfortable operating autonomously in an SME or scale-up environment Confident business partner with the ability to engage non-finance stakeholders Exposure to regulated industries (biotech or life sciences advantageous, not essential) Strong systems' capability, including Xero What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Apr 14, 2026
Seasonal
Your new company A rapidly scaling biotech business at the intersection of science, manufacturing and commercial growth. This is an innovative organisation operating in a regulated environment, with big ambitions and a product that genuinely makes an impact. Finance sits at the heart of the business, partnering closely with scientists, manufacturing teams and senior leaders as the company moves through its next phase of growth. Your new role As Interim Finance Manager, you'll play a pivotal role in a fast-moving biotech operation, taking full ownership of the management accounting function and acting as the day-to-day finance lead. This is a highly visible role where you'll combine hands-on delivery with true business partnering across technical and commercial teams.Your responsibilities will include: Owning the monthly close, management reporting and financial analysis Leading costing and manufacturing accounting, including complex stock and inventory reconciliation Acting as the internal finance SME while overseeing outsourced accounting support Driving forecasting, budgeting and cash flow planning in a high-growth environment Partnering closely with manufacturing, sales and marketing teams to support decision-making Supporting strong financial controls within a fast-paced tech setting. Reporting directly into senior finance leadership What you'll need to succeed Experience within a manufacturing or product-based business Strong costing and inventory accounting expertise Proven management accounting, forecasting and budgeting capability Comfortable operating autonomously in an SME or scale-up environment Confident business partner with the ability to engage non-finance stakeholders Exposure to regulated industries (biotech or life sciences advantageous, not essential) Strong systems' capability, including Xero What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Principal Consultant - Drug Delivery Devices Cambridge, UK (Hybrid) Competitive salary + bonus + profit share TEC Partners are working with a leading employee-owned technology and product development consultancy based in Cambridge. For over 40 years, the business has partnered with global pharmaceutical, biotechnology, and medical technology companies to solve complex engineering challenges and bring innovative products to market. They are now seeking a Principal Consultant specialising in drug delivery devices to join their growing Drug Delivery team. This is a senior technical leadership role where you will lead complex development programmes, guide multidisciplinary teams, and work directly with clients to develop next generation drug delivery technologies. The Role As a Principal Consultant, you will lead technically challenging product development programmes across a range of drug delivery technologies including injectable devices, infusion systems, and advanced therapeutic delivery platforms. Working within a collaborative consultancy environment, you will partner closely with clients to define technical strategies, manage development risk, and deliver commercially successful products from early concept through to transfer to manufacture. Key responsibilities include: Leading complex medical device development programmes from concept through to manufacture Providing technical leadership across multidisciplinary engineering teams Developing innovative drug delivery systems including injectables, infusion technologies, and implantable devices Working closely with pharmaceutical and biotech clients to define development strategies and technical solutions Managing technical risk, regulatory considerations, and programme timelines Supporting proposal development and contributing to the growth of client partnerships What We're Looking For We're looking for an exceptional engineer with deep expertise in drug delivery device development and a strong track record of leading complex programmes. You will likely have: 10+ years' experience in medical device development Strong expertise in drug delivery systems, ideally injectable devices or infusion technologies Deep fundamentals in mechanical engineering and systems engineering Experience leading multidisciplinary engineering teams and complex development programmes A strong understanding of the medical device development lifecycle and regulatory landscape The ability to communicate complex technical ideas clearly with both engineering teams and clients Experience gained within a product development consultancy would be highly advantageous. Why Join Work on technically complex and impactful drug delivery technologies Collaborate with world class engineers, scientists, and product developers Significant autonomy to shape projects and technical strategy Employee owned organisation with strong profit sharing incentives Excellent benefits including private medical insurance, pension, bonus, and flexible working If you are an experienced medical device engineer with expertise in drug delivery systems and enjoy solving complex engineering challenges in a collaborative consultancy environment, we would love to hear from you.
Apr 14, 2026
Full time
Principal Consultant - Drug Delivery Devices Cambridge, UK (Hybrid) Competitive salary + bonus + profit share TEC Partners are working with a leading employee-owned technology and product development consultancy based in Cambridge. For over 40 years, the business has partnered with global pharmaceutical, biotechnology, and medical technology companies to solve complex engineering challenges and bring innovative products to market. They are now seeking a Principal Consultant specialising in drug delivery devices to join their growing Drug Delivery team. This is a senior technical leadership role where you will lead complex development programmes, guide multidisciplinary teams, and work directly with clients to develop next generation drug delivery technologies. The Role As a Principal Consultant, you will lead technically challenging product development programmes across a range of drug delivery technologies including injectable devices, infusion systems, and advanced therapeutic delivery platforms. Working within a collaborative consultancy environment, you will partner closely with clients to define technical strategies, manage development risk, and deliver commercially successful products from early concept through to transfer to manufacture. Key responsibilities include: Leading complex medical device development programmes from concept through to manufacture Providing technical leadership across multidisciplinary engineering teams Developing innovative drug delivery systems including injectables, infusion technologies, and implantable devices Working closely with pharmaceutical and biotech clients to define development strategies and technical solutions Managing technical risk, regulatory considerations, and programme timelines Supporting proposal development and contributing to the growth of client partnerships What We're Looking For We're looking for an exceptional engineer with deep expertise in drug delivery device development and a strong track record of leading complex programmes. You will likely have: 10+ years' experience in medical device development Strong expertise in drug delivery systems, ideally injectable devices or infusion technologies Deep fundamentals in mechanical engineering and systems engineering Experience leading multidisciplinary engineering teams and complex development programmes A strong understanding of the medical device development lifecycle and regulatory landscape The ability to communicate complex technical ideas clearly with both engineering teams and clients Experience gained within a product development consultancy would be highly advantageous. Why Join Work on technically complex and impactful drug delivery technologies Collaborate with world class engineers, scientists, and product developers Significant autonomy to shape projects and technical strategy Employee owned organisation with strong profit sharing incentives Excellent benefits including private medical insurance, pension, bonus, and flexible working If you are an experienced medical device engineer with expertise in drug delivery systems and enjoy solving complex engineering challenges in a collaborative consultancy environment, we would love to hear from you.
Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.
Apr 14, 2026
Full time
Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.
Ready to make massive impact with microscopic magic? Would you like to work on the next generation of metrology instruments for the semiconductor industry? Are you a Product System Engineer who can: manage the system-level definition, including ownership and evolution of the Multiprobe SPDS / system-level design specification, translating customer/market needs into measurable system requirements, and ensuring subsystem work (optics, mechanics, electronics, control/FPGA, software, DA) coheres into a validated system plan? If this sounds like you, read on Reward and Benefits £50,960 to £80,000 (depending on experience) 25 days annual leave, death in service and private health care benefits, personal pension contributions of 4% with salary sacrifice and a generous EMI Share scheme Based in Abingdon, Oxford, UK,we are a high calibre team of 100 plus people and we are growing fast. We are backed by global financial and industry investors including Applied Ventures , the strategic venture arm of the industry leading equipment company. About the role The role will work closely with an external development partner, expert in complex instrumentation design while maintaining internal alignment across engineering teams. While it is mainly focused on the next generation of instrument, the role will also include system engineering work related to the current generation, especially where there is overlap in terms of performance budgets and modelling. Key accountabilities and responsibilities System definition & requirements ownership System architecture, budgets, and cross-domain integration Verification, validation, and milestone planning Risk & opportunity management External partner technical interface Design constraints & platform alignment A typical day for a Product System Engineer could look like this Keeping the Multiprobe SPDS moving (requirements, open issues, change control), align system-function budgets and Product breakdown specifications with the system function architects using evidence-driven decision making, and translate programme goals into crisp milestones, risks, and test requirements. You'll also be the technical "glue" between Infinitesima and our external design partner joining architecture/design discussions, ensuring knowledge transfer (including systems-engineer training), and turning reviews into clear actions for the wider engineering teams. Who we are looking for To succeed as a Product System Engineer, we do need you to have experience of: Working with complex instrumentation for technology or science, i.e. multi-disciplinary, high-precision/accuracy, large-scale and/or collaborative. Experience in nano-characterisation, for example: Atomic force microscopy (essential) Scanning electron microscopy (desirable) Focused Ion Beam (desirable) Familiarity with some of the following disciplines: mechanics, electronics, optics, software, control systems, motion systems or similar Instrument testing and validation Proficiency in data analysis tools, such as Python, Matlab, Excel, etc Education / Qualifications Either a MSc/MEng in Physics, Engineering or similar, or a clear equivalent path through engineering apprenticeship and design/development positions. 5-10 years of experience in an engineering role We look for these attributes for our team Self-management: Able to work independently, setting priorities for own work based upon the company goals and targets. Teamwork: Engages with other members of the company to bring the best solutions to the problem. Recognise the value that fellow company members bring to enhance own abilities. Supports colleagues with their tasks when critical to the company goals. Impact and Influence: Establishes themselves as the knowledge centre in their own field. Ownership & Initiative: React and address both short- and medium-term issues and proactively takes action to solve them. Results Orientation: Focus on the company goal, avoid distraction, making timely decisions to achieve the target. A bit about us Infinitesima is a privately owned company founded in 2001, as a spin out of the University of Bristol, by CTO Professor Andrew Humphris. Our dynamic team of scientists and engineers is focussed on enabling the next generation of semiconductor devices through delivery of innovative products to customers around the world. Our strength lies in the varied perspectives that come from different cultures, experiences, and identities. We believe that true innovation is fuelled by collaboration, locally and globally. We strive to foster an environment where everyone can contribute meaningfully and thrive. If you require adjustments to take part in the recruitment process, please let us know, we'll do our best to support you. A note on how we run interviews We use AI only to transcribe our interviews so we can focus fully on you instead of scribbling notes. The AI does not take part in any decision making at any stage. All hiring decisions are made by real humans based on the conversation we have with you. We welcome applicants from all backgrounds and aim to create a fair, supportive recruitment process. To keep things clear, this role needs someone who already has the permanent right to work in the UK. If a role calls for unique expertise that's hard to find locally, we may explore sponsorship options - though this is uncommon.
Apr 14, 2026
Full time
Ready to make massive impact with microscopic magic? Would you like to work on the next generation of metrology instruments for the semiconductor industry? Are you a Product System Engineer who can: manage the system-level definition, including ownership and evolution of the Multiprobe SPDS / system-level design specification, translating customer/market needs into measurable system requirements, and ensuring subsystem work (optics, mechanics, electronics, control/FPGA, software, DA) coheres into a validated system plan? If this sounds like you, read on Reward and Benefits £50,960 to £80,000 (depending on experience) 25 days annual leave, death in service and private health care benefits, personal pension contributions of 4% with salary sacrifice and a generous EMI Share scheme Based in Abingdon, Oxford, UK,we are a high calibre team of 100 plus people and we are growing fast. We are backed by global financial and industry investors including Applied Ventures , the strategic venture arm of the industry leading equipment company. About the role The role will work closely with an external development partner, expert in complex instrumentation design while maintaining internal alignment across engineering teams. While it is mainly focused on the next generation of instrument, the role will also include system engineering work related to the current generation, especially where there is overlap in terms of performance budgets and modelling. Key accountabilities and responsibilities System definition & requirements ownership System architecture, budgets, and cross-domain integration Verification, validation, and milestone planning Risk & opportunity management External partner technical interface Design constraints & platform alignment A typical day for a Product System Engineer could look like this Keeping the Multiprobe SPDS moving (requirements, open issues, change control), align system-function budgets and Product breakdown specifications with the system function architects using evidence-driven decision making, and translate programme goals into crisp milestones, risks, and test requirements. You'll also be the technical "glue" between Infinitesima and our external design partner joining architecture/design discussions, ensuring knowledge transfer (including systems-engineer training), and turning reviews into clear actions for the wider engineering teams. Who we are looking for To succeed as a Product System Engineer, we do need you to have experience of: Working with complex instrumentation for technology or science, i.e. multi-disciplinary, high-precision/accuracy, large-scale and/or collaborative. Experience in nano-characterisation, for example: Atomic force microscopy (essential) Scanning electron microscopy (desirable) Focused Ion Beam (desirable) Familiarity with some of the following disciplines: mechanics, electronics, optics, software, control systems, motion systems or similar Instrument testing and validation Proficiency in data analysis tools, such as Python, Matlab, Excel, etc Education / Qualifications Either a MSc/MEng in Physics, Engineering or similar, or a clear equivalent path through engineering apprenticeship and design/development positions. 5-10 years of experience in an engineering role We look for these attributes for our team Self-management: Able to work independently, setting priorities for own work based upon the company goals and targets. Teamwork: Engages with other members of the company to bring the best solutions to the problem. Recognise the value that fellow company members bring to enhance own abilities. Supports colleagues with their tasks when critical to the company goals. Impact and Influence: Establishes themselves as the knowledge centre in their own field. Ownership & Initiative: React and address both short- and medium-term issues and proactively takes action to solve them. Results Orientation: Focus on the company goal, avoid distraction, making timely decisions to achieve the target. A bit about us Infinitesima is a privately owned company founded in 2001, as a spin out of the University of Bristol, by CTO Professor Andrew Humphris. Our dynamic team of scientists and engineers is focussed on enabling the next generation of semiconductor devices through delivery of innovative products to customers around the world. Our strength lies in the varied perspectives that come from different cultures, experiences, and identities. We believe that true innovation is fuelled by collaboration, locally and globally. We strive to foster an environment where everyone can contribute meaningfully and thrive. If you require adjustments to take part in the recruitment process, please let us know, we'll do our best to support you. A note on how we run interviews We use AI only to transcribe our interviews so we can focus fully on you instead of scribbling notes. The AI does not take part in any decision making at any stage. All hiring decisions are made by real humans based on the conversation we have with you. We welcome applicants from all backgrounds and aim to create a fair, supportive recruitment process. To keep things clear, this role needs someone who already has the permanent right to work in the UK. If a role calls for unique expertise that's hard to find locally, we may explore sponsorship options - though this is uncommon.
Company Description Join the team redefining how the world experiences design Hiya, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney, Australia, London is our HQ for Europe, with all kinds of teams based here, plus event spaces to gather our team and communities. You'll experience a warm welcome from our Vibe team at front of house, amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work. Job Description At Canva, our mission is to empower the world to design. We're building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research-building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen-reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers-curating task distributions that surface real failure modes. Develop tooling for dataset construction-including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering-designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements-you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. Additional Information What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: Equity packages - we want our success to be yours too Inclusive parental leave policy that supports all parents & carers An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you! Please note that interviews are conducted virtually.
Apr 14, 2026
Full time
Company Description Join the team redefining how the world experiences design Hiya, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney, Australia, London is our HQ for Europe, with all kinds of teams based here, plus event spaces to gather our team and communities. You'll experience a warm welcome from our Vibe team at front of house, amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work. Job Description At Canva, our mission is to empower the world to design. We're building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research-building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen-reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers-curating task distributions that surface real failure modes. Develop tooling for dataset construction-including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering-designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements-you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. Additional Information What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: Equity packages - we want our success to be yours too Inclusive parental leave policy that supports all parents & carers An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you! Please note that interviews are conducted virtually.
Purpose of the role Join ZSL during its landmark 200th anniversary and help shape the future of its world renowned conservation zoos and estate. As a Senior Project Manager within the Estates team, you will be at the heart of delivering transformative projects that enhance our spaces for wildlife, visitors, and conservation impact. Acting as a champion of best practice project management, you will build strong partnerships with stakeholders and drive the successful delivery of ambitious, high profile initiatives. From early concept and feasibility through to design, procurement, construction, and final handover, you will lead the full lifecycle of medium to large scale projects. With a focus on safety, sustainability, and quality, you will ensure every project is delivered to the highest standards, carefully managing programme, cost, risk, and compliance along the way. This is a unique opportunity to contribute to ZSL's next chapter, leaving a lasting legacy as the organisation enters its third century. Key Responsibilities Project Management: Act as client side Project Manager on a variety of capital projects (ranging in value from £250k to £5m) providing strong leadership to internal teams, external consultants, contractors, and multidisciplinary stakeholders. Stakeholder and Contractor Management: Lead and support contractor/consultant procurement, contract selection and administration (typically JCT), tender reviews, and performance management. Budget Management: Manage project budgets in collaboration with Head of Capital Projects and Finance. Including cash flow forecasting, monitoring, and reporting. Health and Safety: Ensure full compliance with statutory health and safety requirements and best practice, including on site inspections and safe working practices. About You Demonstrable experience as a project manager in a construction environment. Professional qualification in a construction or project management discipline (RICS/RIBA/APM or equivalent). Confident in managing project budgets and financial reporting on medium to large capital schemes. Competent IT skills, including MS Office and project management tools. Excellent communication and collaborative skills including clear writing and presenting. Due to regular travel between sites, a full, clean driving licence and access to your own transport are required. This role is subject to standard pre employment checks, including confirmation of your right to work in the UK. Visa sponsorship is not available for this position. ZSL recognises that conservation is one of the least diverse sectors, and we actively encourage applications from candidates who identify as part of underrepresented communities. We are committed to building a supportive and inclusive workplace where everyone can thrive and celebrate the value of a team of employees with diverse skills, experiences, and heritage. About Us We're ZSL, an international conservation charity. Through our unrivalled animal experts in our two zoos (London Zoo and Whipsnade Zoo), the work of our pioneering scientists, our dedicated conservationists, our purpose is to inspire, inform and empower people to stop wild animals going extinct. Our vision is a world where wildlife thrives and we're working every day to achieve this. From investigating the health threats facing animals, to helping people and wildlife live alongside each other, we are committed to bringing wildlife back from the brink of extinction. What We Offer? Purpose driven work - join an organisation where every role contributes to creating a world where wildlife thrives. Pension scheme - we offer a generous pension scheme with up to 12% contributory pension. Flexible working - talk to us about your flexible working requirements and we will do everything we can to make sure you work in a way that suits you. Holidays - 25 days annual leave allowance, plus UK bank holidays (increasing with milestone anniversaries). Access to ZSL's staff Equality Networks: Race & Culture, Team Pride, Disability, and Menopause, supporting an inclusive and welcoming workplace for those with lived experience. Wellbeing - access to a blended programme of wellbeing initiatives, including confidential access to our 24/7 Employee Assistance Programme. Life assurance - eligible employees will be enrolled in ZSL's life assurance scheme from their first day. Complimentary tickets - annual allocation of Whipsnade Zoo and London Zoo tickets, with a 30% discount in online and retail shops. Cycle2Work - our cycle to work scheme enables you to lease a bicycle. Season ticket loan - we offer an interest free loan for eligible London based employees to buy a season ticket for travel between home and work. Family friendly policies - we offer enhanced maternity, paternity, and adoption packages. We may close this role early or extend the closing date due to the number of applications we receive, so we encourage you to apply as soon as possible. We anonymise applications until interview stage to ensure a fair hiring process. It's important to highlight your unique skills, experience, and knowledge. Over reliance on AI generated content may miss key criteria outlined in the job description and reduce the effectiveness of your application. If you have any questions about this role, we'd love to hear from you! Please get in touch with our recruitment team at .
Apr 14, 2026
Full time
Purpose of the role Join ZSL during its landmark 200th anniversary and help shape the future of its world renowned conservation zoos and estate. As a Senior Project Manager within the Estates team, you will be at the heart of delivering transformative projects that enhance our spaces for wildlife, visitors, and conservation impact. Acting as a champion of best practice project management, you will build strong partnerships with stakeholders and drive the successful delivery of ambitious, high profile initiatives. From early concept and feasibility through to design, procurement, construction, and final handover, you will lead the full lifecycle of medium to large scale projects. With a focus on safety, sustainability, and quality, you will ensure every project is delivered to the highest standards, carefully managing programme, cost, risk, and compliance along the way. This is a unique opportunity to contribute to ZSL's next chapter, leaving a lasting legacy as the organisation enters its third century. Key Responsibilities Project Management: Act as client side Project Manager on a variety of capital projects (ranging in value from £250k to £5m) providing strong leadership to internal teams, external consultants, contractors, and multidisciplinary stakeholders. Stakeholder and Contractor Management: Lead and support contractor/consultant procurement, contract selection and administration (typically JCT), tender reviews, and performance management. Budget Management: Manage project budgets in collaboration with Head of Capital Projects and Finance. Including cash flow forecasting, monitoring, and reporting. Health and Safety: Ensure full compliance with statutory health and safety requirements and best practice, including on site inspections and safe working practices. About You Demonstrable experience as a project manager in a construction environment. Professional qualification in a construction or project management discipline (RICS/RIBA/APM or equivalent). Confident in managing project budgets and financial reporting on medium to large capital schemes. Competent IT skills, including MS Office and project management tools. Excellent communication and collaborative skills including clear writing and presenting. Due to regular travel between sites, a full, clean driving licence and access to your own transport are required. This role is subject to standard pre employment checks, including confirmation of your right to work in the UK. Visa sponsorship is not available for this position. ZSL recognises that conservation is one of the least diverse sectors, and we actively encourage applications from candidates who identify as part of underrepresented communities. We are committed to building a supportive and inclusive workplace where everyone can thrive and celebrate the value of a team of employees with diverse skills, experiences, and heritage. About Us We're ZSL, an international conservation charity. Through our unrivalled animal experts in our two zoos (London Zoo and Whipsnade Zoo), the work of our pioneering scientists, our dedicated conservationists, our purpose is to inspire, inform and empower people to stop wild animals going extinct. Our vision is a world where wildlife thrives and we're working every day to achieve this. From investigating the health threats facing animals, to helping people and wildlife live alongside each other, we are committed to bringing wildlife back from the brink of extinction. What We Offer? Purpose driven work - join an organisation where every role contributes to creating a world where wildlife thrives. Pension scheme - we offer a generous pension scheme with up to 12% contributory pension. Flexible working - talk to us about your flexible working requirements and we will do everything we can to make sure you work in a way that suits you. Holidays - 25 days annual leave allowance, plus UK bank holidays (increasing with milestone anniversaries). Access to ZSL's staff Equality Networks: Race & Culture, Team Pride, Disability, and Menopause, supporting an inclusive and welcoming workplace for those with lived experience. Wellbeing - access to a blended programme of wellbeing initiatives, including confidential access to our 24/7 Employee Assistance Programme. Life assurance - eligible employees will be enrolled in ZSL's life assurance scheme from their first day. Complimentary tickets - annual allocation of Whipsnade Zoo and London Zoo tickets, with a 30% discount in online and retail shops. Cycle2Work - our cycle to work scheme enables you to lease a bicycle. Season ticket loan - we offer an interest free loan for eligible London based employees to buy a season ticket for travel between home and work. Family friendly policies - we offer enhanced maternity, paternity, and adoption packages. We may close this role early or extend the closing date due to the number of applications we receive, so we encourage you to apply as soon as possible. We anonymise applications until interview stage to ensure a fair hiring process. It's important to highlight your unique skills, experience, and knowledge. Over reliance on AI generated content may miss key criteria outlined in the job description and reduce the effectiveness of your application. If you have any questions about this role, we'd love to hear from you! Please get in touch with our recruitment team at .
About us The Microbiology Society is a membership charity for scientists interested in microbes, their effects, and their practical uses. It has a worldwide membership based in universities, industry, hospitals, research institutes, schools, and other organisations. Our members have a unique depth and breadth of knowledge about the discipline. The Society's role is to help unlock and harness the potential of that knowledge. Our commitment to anyone who studies microbes is " whoever you are, wherever you are, we will amplify your voice ". Read more about our mission and values at microbiologysociety.org About you The Head of Engagement and Storytelling will develop compelling content and channels for a wide range of audiences, to showcase the astonishing wonder of microbes, the transformative power of microbiology and the essential contribution of microbiologists. This role reports to the Chief Communications Officer and will requires collaborative working with members of the Society's governance structure and the Heads of Scientific Programmes and Development Opportunities respectively, responsible for creating and delivering the society's overall communication strategy across all channels including social media and website, overseeing policy and membership engagement activities, promoting member expertise to policymakers in the UK and internationally and encourage member engagement through opportunities the Society's 'Get Involved' campaign. The postholder will have experience working within science communication, displaying strong scientific knowledge while delivering high impact engagement campaigns. It is essential to have experience in People Management as this role oversees the different branches of the Engagement and Storytelling theme covering Communication, Policy and Membership. Please note that the organisation operates a hybrid working policy. For more information about the Society, please visit our website. Our generous benefits package includes; • Flexible working hours • Highly competitive salaries with an annual cost of living increase • 23 days holiday + eight bank holidays and three additional days over the Christmas break • 10% employer pension contribution • Life insurance including free (health and wellbeing) employee support services • Enhanced maternity pay to include 26 weeks of fully paid maternity leave and 13 weeks of statutory maternity pay • Enhanced Adoption pay to include 26 weeks of fully paid adoption leave and 13 weeks of statutory adoption pay • Season Ticket Loan Scheme • Cycle to Work Scheme • £50 contribution towards eye care To Apply Please attach your CV and Cover Letter. Please note that only shortlisted candidates will be contacted. Interviews will be held in-person at the Microbiology Society Office. Closing date: 8 th May 2026 It is important that you DO NOT include your Personal Information i.e. name and contact details in your CV or Cover Letter . This is because the Microbiology Society is an equal opportunities employer and welcomes applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age. We value, promote, and seek diversity. The Society also takes the security of your data seriously. It has internal policies and controls in place to ensure that your data is not lost, accidentally destroyed, misused, or disclosed, and is not accessed except by our employees in the proper performance of their duties. Please note that due to limited resources, only shortlisted candidates will be contacted therefore, if you do not hear from us within two weeks of the closing date, please assume that your application has been unsuccessful on this occasion. "We are interested in every candidate who is eligible to work in the United Kingdom. However, we are not able to sponsor visas."
Apr 14, 2026
Full time
About us The Microbiology Society is a membership charity for scientists interested in microbes, their effects, and their practical uses. It has a worldwide membership based in universities, industry, hospitals, research institutes, schools, and other organisations. Our members have a unique depth and breadth of knowledge about the discipline. The Society's role is to help unlock and harness the potential of that knowledge. Our commitment to anyone who studies microbes is " whoever you are, wherever you are, we will amplify your voice ". Read more about our mission and values at microbiologysociety.org About you The Head of Engagement and Storytelling will develop compelling content and channels for a wide range of audiences, to showcase the astonishing wonder of microbes, the transformative power of microbiology and the essential contribution of microbiologists. This role reports to the Chief Communications Officer and will requires collaborative working with members of the Society's governance structure and the Heads of Scientific Programmes and Development Opportunities respectively, responsible for creating and delivering the society's overall communication strategy across all channels including social media and website, overseeing policy and membership engagement activities, promoting member expertise to policymakers in the UK and internationally and encourage member engagement through opportunities the Society's 'Get Involved' campaign. The postholder will have experience working within science communication, displaying strong scientific knowledge while delivering high impact engagement campaigns. It is essential to have experience in People Management as this role oversees the different branches of the Engagement and Storytelling theme covering Communication, Policy and Membership. Please note that the organisation operates a hybrid working policy. For more information about the Society, please visit our website. Our generous benefits package includes; • Flexible working hours • Highly competitive salaries with an annual cost of living increase • 23 days holiday + eight bank holidays and three additional days over the Christmas break • 10% employer pension contribution • Life insurance including free (health and wellbeing) employee support services • Enhanced maternity pay to include 26 weeks of fully paid maternity leave and 13 weeks of statutory maternity pay • Enhanced Adoption pay to include 26 weeks of fully paid adoption leave and 13 weeks of statutory adoption pay • Season Ticket Loan Scheme • Cycle to Work Scheme • £50 contribution towards eye care To Apply Please attach your CV and Cover Letter. Please note that only shortlisted candidates will be contacted. Interviews will be held in-person at the Microbiology Society Office. Closing date: 8 th May 2026 It is important that you DO NOT include your Personal Information i.e. name and contact details in your CV or Cover Letter . This is because the Microbiology Society is an equal opportunities employer and welcomes applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age. We value, promote, and seek diversity. The Society also takes the security of your data seriously. It has internal policies and controls in place to ensure that your data is not lost, accidentally destroyed, misused, or disclosed, and is not accessed except by our employees in the proper performance of their duties. Please note that due to limited resources, only shortlisted candidates will be contacted therefore, if you do not hear from us within two weeks of the closing date, please assume that your application has been unsuccessful on this occasion. "We are interested in every candidate who is eligible to work in the United Kingdom. However, we are not able to sponsor visas."
A leading market research firm is seeking a skilled Data Scientist for their Brand Health Tracking team in London. This hybrid role focuses on advancing brand monitoring through predictive modelling and advanced analytics. Candidates should possess advanced proficiency in Python and R, with a background in market research and strong problem-solving skills. The position offers a dynamic work environment, opportunities for mentorship, and a comprehensive benefits package including 25 days of annual leave and flexible working arrangements.
Apr 14, 2026
Full time
A leading market research firm is seeking a skilled Data Scientist for their Brand Health Tracking team in London. This hybrid role focuses on advancing brand monitoring through predictive modelling and advanced analytics. Candidates should possess advanced proficiency in Python and R, with a background in market research and strong problem-solving skills. The position offers a dynamic work environment, opportunities for mentorship, and a comprehensive benefits package including 25 days of annual leave and flexible working arrangements.
Overview Our client - a global financial markets trading company - is seeking a Senior Credit Controller / Reinsurance Accounting Technician. The role is based in London, is permanent, and offers a salary of £38,500 to £40,000 per annum. Reference: db. Responsibilities Provide analytical support to the business and liaise with other departments to extract and distribute pertinent information. Financial modelling and review of business opportunities. Provide analytical and administrative support. Management sales reporting and tracking. Provide financial information, insight, and analysis to management for timely decision making. Ad hoc reporting on trade deals to assist team management with performance, client tenders and divisional strategy. Cost analysis on the c.1,300 broking team group wide. Liaise with the data scientist team to extract data from bespoke databases and create real time reports. Analyse, identify and support continuous changes and improvements to broking data. Support the business with broking financial systems. Contribute to key projects and new initiatives. Support other administrative functions including financial analysis of the broking segment. Set up and report on capital and signage spend. Business intelligence reporting. Qualifications Degree in Accounting or a related discipline. At least two years of experience as a financial data and MI modelling analyst. Strong analytical skills and numeracy. Understanding of economics supporting a UK business. Proficiency in MS Excel (VLOOKUP, PivotTables) and Power BI for data extraction and analysis. Good interpersonal skills and ability to interact with various business departments. Flexible and able to adapt to changing brief. Budget awareness. Efficient and collaborative working style. Contact Email:
Apr 14, 2026
Full time
Overview Our client - a global financial markets trading company - is seeking a Senior Credit Controller / Reinsurance Accounting Technician. The role is based in London, is permanent, and offers a salary of £38,500 to £40,000 per annum. Reference: db. Responsibilities Provide analytical support to the business and liaise with other departments to extract and distribute pertinent information. Financial modelling and review of business opportunities. Provide analytical and administrative support. Management sales reporting and tracking. Provide financial information, insight, and analysis to management for timely decision making. Ad hoc reporting on trade deals to assist team management with performance, client tenders and divisional strategy. Cost analysis on the c.1,300 broking team group wide. Liaise with the data scientist team to extract data from bespoke databases and create real time reports. Analyse, identify and support continuous changes and improvements to broking data. Support the business with broking financial systems. Contribute to key projects and new initiatives. Support other administrative functions including financial analysis of the broking segment. Set up and report on capital and signage spend. Business intelligence reporting. Qualifications Degree in Accounting or a related discipline. At least two years of experience as a financial data and MI modelling analyst. Strong analytical skills and numeracy. Understanding of economics supporting a UK business. Proficiency in MS Excel (VLOOKUP, PivotTables) and Power BI for data extraction and analysis. Good interpersonal skills and ability to interact with various business departments. Flexible and able to adapt to changing brief. Budget awareness. Efficient and collaborative working style. Contact Email:
We are Lightsource bp - and we're on a mission to become a global leader in onshore renewables, anchored by our proven track record in solar development. For over a decade we've been actively working to diversify the way our world is powered with sustainable and responsible renewable power. We work to safely deliver affordable, reliable, large-scale onshore renewable and energy storage solutions to help the world decarbonise. Our growing business is constantly innovating and investing to help drive the energy transition. Our people and projects are focused on supporting long term sustainable growth and energy security. Lightsource bp operates with five core values: Safety, Integrity, Respect, Sustainability, and Drive. We seek to attract and hire individuals who share our commitment to creating a safe workplace, uphold the highest standards of integrity, and demonstrate respect for colleagues, communities, and the environment. Our recruitment process promotes sustainability by valuing long term growth and responsible practices, while seeking candidates with the drive to innovate and lead in the global energy transition. Together, these values shape how we engage, assess, and welcome talent to join us in delivering transformational solar power solutions worldwide. Lightsource bp was fully acquired by bp in 2024. What you'll do (the role) Summary As a Data Science Intern at Lightsource bp, you will work on high impact optimisation and decision science problems that underpin our energy storage and grid integration strategy. You'll contribute to research, design, experiment, implement and test approaches (modelling, simulation, reinforcement learning and optimization) that support improved operational decision making for battery energy storage systems (BESS). This internship is designed for a PhD level researcher who wants to apply cutting edge methods to real world energy systems within a global renewable energy organisation. At Lightsource bp, our Applied AI team is building the next generation of intelligence that powers renewable energy systems at global scale. As part of this team, you won't just contribute to your research-you'll see your work shape real world optimisation, operational decision making, and the future of grid interactive storage. We invest heavily in developing exceptional technical talent, offering exposure to high impact projects, collaboration with experienced AI practitioners, and opportunities to publish, innovate, and drive our AI roadmap forward. Joining us means growing your career in an environment where deep technical expertise is valued, ambitious ideas are encouraged, and your contributions help accelerate the energy transition. The Details Duration: 1 June - 21 August 2026 (12 weeks) Location: London or Milan (Hybrid Working - 3 days per week in office) Type: Full time internship Education Required: Currently pursuing a PhD (or final year PhD candidate) in a quantitative field; Master's degree required as minimum We also consider alternative educational paths if you can demonstrate equivalent experience in RL, optimisation, or advanced machine learning. Responsibilities of the Role Develop and evaluate reinforcement learning (RL), (constrained) optimisation, or simulation models to support BESS dispatch strategy. Prototype algorithms for sequential decision making under uncertainty, incorporating market, operational, and physical system constraints. Analyse large time series and operational datasets to extract actionable insights that support energy trading, grid services, and storage optimisation. Collaborate closely with data scientists and product teams to design experiments and validate models. Communicate findings clearly to both technical and non technical stakeholders through documentation, visualisations, and presentations. Contribute to reproducible, high quality research code and experimentation pipelines. Stay current with emerging methods in RL, optimisation, and energy systems research. Why you'll make a great member of the team Experience & Knowledge Required Experience conducting research or applied work in one or more of: reinforcement learning, control systems, (constrained) optimisation, probabilistic modelling or simulation. Strong understanding of sequential decision making frameworks (e.g., MDPs, policy optimisation, planning). Experience working with large datasets, experimental design, and empirical model evaluation. Understanding of numerical methods, statistical learning, or stochastic processes. Familiarity with energy systems, grid flexibility markets, or storage optimisation is a plus but not mandatory. Skills Required Strong proficiency in Python and its scientific computing toolkit (JAX, Pyomo, NumPy, Scipy, Statsmodels, Pandas/Polars and similar). Solid knowledge of PyTorch, Gymnasium and one or more of the following reinforcement learning frameworks: StableBasleine3, TorchRL, RLlib, SKRL. Ability to design and evaluate RL agents or optimisation algorithms. Strong analytical and mathematical reasoning skills. Ability to communicate complex technical findings clearly and concisely. Ability to within a production grade codebase. Experience with scientific coding best practices (version control, experimentation tracking, reproducibility). Ability to work in a research environment while following agile ways of working (i.e. continuous iterative delivery and improvement). Curiosity, autonomy and good organizational and time management skills. Education Required Currently pursuing a PhD (or in the final years of a PhD) in Machine Learning, Computer Science, Applied Mathematics, Engineering, Operations Research, or a related quantitative field. We consider other educational paths provided the candidate can demonstrate extensive experience in one or more of the areas mentioned before. Why you'll want to work for us Our company is a place where you can be yourself and grow, a place where your ideas and opinions matter. Be you We pride ourselves on being an inclusive community, where every individual is valued and treated with respect. Be responsible Our culture is driven by our core values - from operating safely to ensuring our projects are responsible. Be recognized Alongside a competitive salary, we offer a variety of benefits including annual bonus, retention bank, health insurance, pension and other local benefits. Be inspired Beyond your day to day working life at Lightsource bp, there's a variety of initiatives that will contribute to your own personal development. These include our charitable causes, supporting our solar honey project, or volunteering on our VIBES committee to name a few. Our core values Lightsource bp truly cares about creating a sustainable future through safe, responsible and meaningful low carbon energy projects. Our core values of Safety, Integrity, Respect, Sustainability and Drive are the guiding principles for everything we do.
Apr 14, 2026
Full time
We are Lightsource bp - and we're on a mission to become a global leader in onshore renewables, anchored by our proven track record in solar development. For over a decade we've been actively working to diversify the way our world is powered with sustainable and responsible renewable power. We work to safely deliver affordable, reliable, large-scale onshore renewable and energy storage solutions to help the world decarbonise. Our growing business is constantly innovating and investing to help drive the energy transition. Our people and projects are focused on supporting long term sustainable growth and energy security. Lightsource bp operates with five core values: Safety, Integrity, Respect, Sustainability, and Drive. We seek to attract and hire individuals who share our commitment to creating a safe workplace, uphold the highest standards of integrity, and demonstrate respect for colleagues, communities, and the environment. Our recruitment process promotes sustainability by valuing long term growth and responsible practices, while seeking candidates with the drive to innovate and lead in the global energy transition. Together, these values shape how we engage, assess, and welcome talent to join us in delivering transformational solar power solutions worldwide. Lightsource bp was fully acquired by bp in 2024. What you'll do (the role) Summary As a Data Science Intern at Lightsource bp, you will work on high impact optimisation and decision science problems that underpin our energy storage and grid integration strategy. You'll contribute to research, design, experiment, implement and test approaches (modelling, simulation, reinforcement learning and optimization) that support improved operational decision making for battery energy storage systems (BESS). This internship is designed for a PhD level researcher who wants to apply cutting edge methods to real world energy systems within a global renewable energy organisation. At Lightsource bp, our Applied AI team is building the next generation of intelligence that powers renewable energy systems at global scale. As part of this team, you won't just contribute to your research-you'll see your work shape real world optimisation, operational decision making, and the future of grid interactive storage. We invest heavily in developing exceptional technical talent, offering exposure to high impact projects, collaboration with experienced AI practitioners, and opportunities to publish, innovate, and drive our AI roadmap forward. Joining us means growing your career in an environment where deep technical expertise is valued, ambitious ideas are encouraged, and your contributions help accelerate the energy transition. The Details Duration: 1 June - 21 August 2026 (12 weeks) Location: London or Milan (Hybrid Working - 3 days per week in office) Type: Full time internship Education Required: Currently pursuing a PhD (or final year PhD candidate) in a quantitative field; Master's degree required as minimum We also consider alternative educational paths if you can demonstrate equivalent experience in RL, optimisation, or advanced machine learning. Responsibilities of the Role Develop and evaluate reinforcement learning (RL), (constrained) optimisation, or simulation models to support BESS dispatch strategy. Prototype algorithms for sequential decision making under uncertainty, incorporating market, operational, and physical system constraints. Analyse large time series and operational datasets to extract actionable insights that support energy trading, grid services, and storage optimisation. Collaborate closely with data scientists and product teams to design experiments and validate models. Communicate findings clearly to both technical and non technical stakeholders through documentation, visualisations, and presentations. Contribute to reproducible, high quality research code and experimentation pipelines. Stay current with emerging methods in RL, optimisation, and energy systems research. Why you'll make a great member of the team Experience & Knowledge Required Experience conducting research or applied work in one or more of: reinforcement learning, control systems, (constrained) optimisation, probabilistic modelling or simulation. Strong understanding of sequential decision making frameworks (e.g., MDPs, policy optimisation, planning). Experience working with large datasets, experimental design, and empirical model evaluation. Understanding of numerical methods, statistical learning, or stochastic processes. Familiarity with energy systems, grid flexibility markets, or storage optimisation is a plus but not mandatory. Skills Required Strong proficiency in Python and its scientific computing toolkit (JAX, Pyomo, NumPy, Scipy, Statsmodels, Pandas/Polars and similar). Solid knowledge of PyTorch, Gymnasium and one or more of the following reinforcement learning frameworks: StableBasleine3, TorchRL, RLlib, SKRL. Ability to design and evaluate RL agents or optimisation algorithms. Strong analytical and mathematical reasoning skills. Ability to communicate complex technical findings clearly and concisely. Ability to within a production grade codebase. Experience with scientific coding best practices (version control, experimentation tracking, reproducibility). Ability to work in a research environment while following agile ways of working (i.e. continuous iterative delivery and improvement). Curiosity, autonomy and good organizational and time management skills. Education Required Currently pursuing a PhD (or in the final years of a PhD) in Machine Learning, Computer Science, Applied Mathematics, Engineering, Operations Research, or a related quantitative field. We consider other educational paths provided the candidate can demonstrate extensive experience in one or more of the areas mentioned before. Why you'll want to work for us Our company is a place where you can be yourself and grow, a place where your ideas and opinions matter. Be you We pride ourselves on being an inclusive community, where every individual is valued and treated with respect. Be responsible Our culture is driven by our core values - from operating safely to ensuring our projects are responsible. Be recognized Alongside a competitive salary, we offer a variety of benefits including annual bonus, retention bank, health insurance, pension and other local benefits. Be inspired Beyond your day to day working life at Lightsource bp, there's a variety of initiatives that will contribute to your own personal development. These include our charitable causes, supporting our solar honey project, or volunteering on our VIBES committee to name a few. Our core values Lightsource bp truly cares about creating a sustainable future through safe, responsible and meaningful low carbon energy projects. Our core values of Safety, Integrity, Respect, Sustainability and Drive are the guiding principles for everything we do.
