hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large language models, and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, LLMs or recommendation systems Produce outputs that lead to high-impact business applications, open-source software, patents, and publications in top AI/ML conferences and journals. Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Required qualifications, capabilities, and skills Solid background in NLP and LLMs, and solid understanding of machine learning and deep learning methods PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems Preferred qualifications, capabilities, and skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development Knowledge in search/ranking, Reinforcement Learning or Meta Learning Expertise in recommendation systems Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal About MLCOE The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning For more information about the MLCOE, please visit . To learn about how we're using AI/ML to drive transformational change, please read this blog: The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Aug 01, 2026
Full time
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large language models, and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, LLMs or recommendation systems Produce outputs that lead to high-impact business applications, open-source software, patents, and publications in top AI/ML conferences and journals. Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Required qualifications, capabilities, and skills Solid background in NLP and LLMs, and solid understanding of machine learning and deep learning methods PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems Preferred qualifications, capabilities, and skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development Knowledge in search/ranking, Reinforcement Learning or Meta Learning Expertise in recommendation systems Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal About MLCOE The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning For more information about the MLCOE, please visit . To learn about how we're using AI/ML to drive transformational change, please read this blog: The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
As a Senior Scientist, you will lead and deliver advanced radar and signal processing activities, providing technical authority and direction across complex projects that directly support our customers and operational capability. Day-to-day, you'll be shaping technical solutions, leading modelling and simulation work, developing and validating algorithms, and working closely with multidisciplinary teams to deliver high-impact outcomes. You'll also act as a subject matter expert, supporting bids, guiding technical strategy and mentoring junior scientists and engineers. Your responsibilities will include: Leading the development and optimisation of models, simulations and analytical tools Providing technical leadership across radar and signal processing projects Designing and assessing advanced signal processing chains and algorithms Interpreting complex datasets and presenting clear recommendations to customers Supporting bid activities and technical governance Mentoring and developing junior scientists and engineers Essential experience of the Senior Scientist: Significant experience in radar, signal processing, algorithm development or modelling and simulation Proven ability to lead complex technical work packages or projects Strong background in applied mathematics and physics Coding experience in MATLAB or other languages such as Python or C++ Experience working with customers and stakeholders, influencing technical decisions Demonstrable mentoring or technical leadership experience Essential qualifications for the Senior Scientist: Degree in Science or Engineering (Physics, Mathematics or similar) Substantial relevant industry or research experience Our Benefits Matched contribution pension scheme, with life assurance Generous holiday allowance, with the option to purchase additional days Options to join Health Cash Plan, Private Medical Insurance and Dental Insurance Employee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much more We are proud to support the Armed Forces community by honouring the Armed Forces Covenant and maintaining our Gold Award standard in the Defence Employer Recognition Scheme Volunteering Opportunities - helping charities and local community Please note that all applicants for this role must be eligible for SC clearance, as a minimum.
Jul 31, 2026
Full time
As a Senior Scientist, you will lead and deliver advanced radar and signal processing activities, providing technical authority and direction across complex projects that directly support our customers and operational capability. Day-to-day, you'll be shaping technical solutions, leading modelling and simulation work, developing and validating algorithms, and working closely with multidisciplinary teams to deliver high-impact outcomes. You'll also act as a subject matter expert, supporting bids, guiding technical strategy and mentoring junior scientists and engineers. Your responsibilities will include: Leading the development and optimisation of models, simulations and analytical tools Providing technical leadership across radar and signal processing projects Designing and assessing advanced signal processing chains and algorithms Interpreting complex datasets and presenting clear recommendations to customers Supporting bid activities and technical governance Mentoring and developing junior scientists and engineers Essential experience of the Senior Scientist: Significant experience in radar, signal processing, algorithm development or modelling and simulation Proven ability to lead complex technical work packages or projects Strong background in applied mathematics and physics Coding experience in MATLAB or other languages such as Python or C++ Experience working with customers and stakeholders, influencing technical decisions Demonstrable mentoring or technical leadership experience Essential qualifications for the Senior Scientist: Degree in Science or Engineering (Physics, Mathematics or similar) Substantial relevant industry or research experience Our Benefits Matched contribution pension scheme, with life assurance Generous holiday allowance, with the option to purchase additional days Options to join Health Cash Plan, Private Medical Insurance and Dental Insurance Employee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much more We are proud to support the Armed Forces community by honouring the Armed Forces Covenant and maintaining our Gold Award standard in the Defence Employer Recognition Scheme Volunteering Opportunities - helping charities and local community Please note that all applicants for this role must be eligible for SC clearance, as a minimum.
QC Chemist required on a permanent basis, based in the Greater Manchester. Requiring proven industrial experience within quality control (QC) testing with wet chemistry techniques, ideally within paints & coatings. A range of other industrial chemical QC experience can be considered. Title: QC Chemist Location: Greater Manchester Salary: 28,000 - 34,000 (dependent on experience) Term: Permanent SRG are working with a respected and well-established manufacturer of premium coating products. Renowned for high-quality formulations, expertise and product performance, they are now seeking to hire a QC Chemist to join their technical team in Greater Manchester. This role will be laboratory-based and hands-on, focusing on quality control (QC) testing, batch approval support and technical problem-solving across raw materials, intermediates and finished products. This represents an excellent opportunity for candidates with proven QC or technical laboratory experience within paints, coatings, chemicals or other related manufacturing environments within industrial chemicals. Benefits: You will join a well-established and highly successful coatings manufacturer. 39 hours per week. 8:30am-5:00pm Mon-Thurs and 8:30am-4:00pm on Friday. 25 days holiday plus bank holidays. Role / Description Perform quality control (QC) assessments on incoming raw materials, products in manufacture and finished goods to ensure compliance with established quality standards. Undertake a variety of laboratory evaluations including colour, viscosity, density, pH, gloss, opacity, drying characteristics, adhesion, stability and application performance testing. Contribute to batch release activities by interpreting test data, identifying deviations and highlighting any quality concerns requiring further investigation. Support the investigation of manufacturing, product quality and customer-related issues, helping to identify root causes and implement effective solutions. Assist with colour verification, tint accuracy checks and shade correction activities to maintain consistency across product ranges. Produce test panels, drawdowns and application samples to assess both the visual appearance and functional performance of coating products. Ensure all laboratory results, quality records, specifications and supporting documentation are completed accurately and maintained in accordance with company procedures. Carry out routine calibration, verification and upkeep of laboratory instruments to guarantee reliable and reproducible test results. Liaise with colleagues across production, technical and commercial functions to support product quality objectives and continuous improvement projects. Provide support with raw material assessments, competitor product reviews and formulation-related activities where required. Requirements Proven industrial experience within a QC, or analytical testing laboratory within the chemicals sector. Experience gained within decorative paints, surface coatings, chemicals or a manufacturing environment would be advantageous. A degree, HNC, HND or similar qualification in Chemistry or a related scientific discipline would be beneficial. Practical understanding of paint and coatings testing methods including colour, viscosity, pH, density and applied coating performance. Excellent attention to detail with strong documentation and record-keeping skills. Ability to investigate technical and quality issues and provide practical solutions. Good communication skills with the ability to work collaboratively across technical and production teams. Knowledge of laboratory safety procedures and quality systems. Full UK driving licence would be advantageous. SRG is the UK's number one recruitment company specialising in the scientific, engineering, clinical, pharmaceutical, food/FMCG, energy & renewables, biotech, chemical and medical device sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. If you would like to apply for this position, please use the link provided. Alternatively please email a copy of your CV For more information regarding this position or any others, please call Chris on (phone number removed). If you have a scientific background and this position is not relevant / suitable for you, please feel free to get in touch or visit (url removed) to view our other vacancies. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Jul 31, 2026
Full time
QC Chemist required on a permanent basis, based in the Greater Manchester. Requiring proven industrial experience within quality control (QC) testing with wet chemistry techniques, ideally within paints & coatings. A range of other industrial chemical QC experience can be considered. Title: QC Chemist Location: Greater Manchester Salary: 28,000 - 34,000 (dependent on experience) Term: Permanent SRG are working with a respected and well-established manufacturer of premium coating products. Renowned for high-quality formulations, expertise and product performance, they are now seeking to hire a QC Chemist to join their technical team in Greater Manchester. This role will be laboratory-based and hands-on, focusing on quality control (QC) testing, batch approval support and technical problem-solving across raw materials, intermediates and finished products. This represents an excellent opportunity for candidates with proven QC or technical laboratory experience within paints, coatings, chemicals or other related manufacturing environments within industrial chemicals. Benefits: You will join a well-established and highly successful coatings manufacturer. 39 hours per week. 8:30am-5:00pm Mon-Thurs and 8:30am-4:00pm on Friday. 25 days holiday plus bank holidays. Role / Description Perform quality control (QC) assessments on incoming raw materials, products in manufacture and finished goods to ensure compliance with established quality standards. Undertake a variety of laboratory evaluations including colour, viscosity, density, pH, gloss, opacity, drying characteristics, adhesion, stability and application performance testing. Contribute to batch release activities by interpreting test data, identifying deviations and highlighting any quality concerns requiring further investigation. Support the investigation of manufacturing, product quality and customer-related issues, helping to identify root causes and implement effective solutions. Assist with colour verification, tint accuracy checks and shade correction activities to maintain consistency across product ranges. Produce test panels, drawdowns and application samples to assess both the visual appearance and functional performance of coating products. Ensure all laboratory results, quality records, specifications and supporting documentation are completed accurately and maintained in accordance with company procedures. Carry out routine calibration, verification and upkeep of laboratory instruments to guarantee reliable and reproducible test results. Liaise with colleagues across production, technical and commercial functions to support product quality objectives and continuous improvement projects. Provide support with raw material assessments, competitor product reviews and formulation-related activities where required. Requirements Proven industrial experience within a QC, or analytical testing laboratory within the chemicals sector. Experience gained within decorative paints, surface coatings, chemicals or a manufacturing environment would be advantageous. A degree, HNC, HND or similar qualification in Chemistry or a related scientific discipline would be beneficial. Practical understanding of paint and coatings testing methods including colour, viscosity, pH, density and applied coating performance. Excellent attention to detail with strong documentation and record-keeping skills. Ability to investigate technical and quality issues and provide practical solutions. Good communication skills with the ability to work collaboratively across technical and production teams. Knowledge of laboratory safety procedures and quality systems. Full UK driving licence would be advantageous. SRG is the UK's number one recruitment company specialising in the scientific, engineering, clinical, pharmaceutical, food/FMCG, energy & renewables, biotech, chemical and medical device sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. If you would like to apply for this position, please use the link provided. Alternatively please email a copy of your CV For more information regarding this position or any others, please call Chris on (phone number removed). If you have a scientific background and this position is not relevant / suitable for you, please feel free to get in touch or visit (url removed) to view our other vacancies. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Jul 31, 2026
Full time
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Analytical Consultant to join our growing team. Day to Day You'll Be: You will participate in projects with data scientists & solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, etc). You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers. You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and Spark. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record of academic excellence. Professional experience performing analytic work in industries served by TransUnion, such as financial services, insurance, and telecommunication. Experience and demonstrated success in client-facing roles. Strong analytical, critical thinking, and creative problem-solving skills. Advanced programming skills; proficiency with a statistical language such as R or Python; high level of familiarity with Microsoft Office tools. Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment. Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Consultant, Analytics Consulting
Jul 31, 2026
Full time
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Analytical Consultant to join our growing team. Day to Day You'll Be: You will participate in projects with data scientists & solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, etc). You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers. You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and Spark. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record of academic excellence. Professional experience performing analytic work in industries served by TransUnion, such as financial services, insurance, and telecommunication. Experience and demonstrated success in client-facing roles. Strong analytical, critical thinking, and creative problem-solving skills. Advanced programming skills; proficiency with a statistical language such as R or Python; high level of familiarity with Microsoft Office tools. Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment. Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Consultant, Analytics Consulting
Machine Learning Research Engineer - Deep Learning Location: Farringdon, London (Typically 2 days per week in the office) Salary: Up to £110,000 + 10% Bonus The Opportunity We're working with a growing technology business that's using advanced AI to solve complex real-world engineering problems. They're looking for an Applied Scientist to join their R&D function, where the focus is on researching and developing novel deep learning approaches to tackle problems that don't have an obvious solution. This is a role for someone who enjoys understanding complex systems, experimenting with new ideas and applying machine learning research to build intelligent solutions. If you're motivated by difficult technical challenges rather than incremental product development, this is an opportunity to work alongside a highly capable team of scientists and engineers on genuinely meaningful problems. What You'll Be Doing You'll play a key role in researching, designing and developing advanced deep learning models, working from early-stage concepts through to validated solutions. Responsibilities include: Researching and developing novel Deep Learning models Applying machine learning techniques to solve complex engineering and optimisation problems Building and validating system models to better understand and predict real-world behaviour Experimenting with new modelling techniques and evaluating their effectiveness Working closely with software engineers to transition research into production Collaborating with fellow scientists in a highly research-focused environment Contributing to the future direction of machine learning research within the team What We're Looking For This role will suit someone with a strong research background and a genuine interest in solving challenging machine learning problems. You'll ideally have experience with: Strong Python development skills Deep Learning (essential) Building and developing Deep Learning models from research through to implementation System Modelling or Simulation Modelling PyTorch, JAX, NumPy or similar machine learning frameworks Experience working within an Applied Research or R&D environment Desirable experience includes: Time Series modelling or forecasting Digital Twin technologies Reinforcement Learning MSc or PhD in Machine Learning, Computer Science, Mathematics, Physics or Engineering What's On Offer Salary up to £110,000 10% Annual Bonus Hybrid working (typically 2 days per week in the Farringdon office) Work on genuinely challenging AI research with real-world impact Join a collaborative team of scientists and engineers Opportunity to influence research and see your work deployed into production If you're looking for an opportunity where Deep Learning research is at the heart of the role, and enjoy solving complex modelling problems rather than simply applying existing techniques, we'd love to hear from you. Apply now and one of our consultants will be in touch to discuss the opportunity in more detail.
Jul 30, 2026
Full time
Machine Learning Research Engineer - Deep Learning Location: Farringdon, London (Typically 2 days per week in the office) Salary: Up to £110,000 + 10% Bonus The Opportunity We're working with a growing technology business that's using advanced AI to solve complex real-world engineering problems. They're looking for an Applied Scientist to join their R&D function, where the focus is on researching and developing novel deep learning approaches to tackle problems that don't have an obvious solution. This is a role for someone who enjoys understanding complex systems, experimenting with new ideas and applying machine learning research to build intelligent solutions. If you're motivated by difficult technical challenges rather than incremental product development, this is an opportunity to work alongside a highly capable team of scientists and engineers on genuinely meaningful problems. What You'll Be Doing You'll play a key role in researching, designing and developing advanced deep learning models, working from early-stage concepts through to validated solutions. Responsibilities include: Researching and developing novel Deep Learning models Applying machine learning techniques to solve complex engineering and optimisation problems Building and validating system models to better understand and predict real-world behaviour Experimenting with new modelling techniques and evaluating their effectiveness Working closely with software engineers to transition research into production Collaborating with fellow scientists in a highly research-focused environment Contributing to the future direction of machine learning research within the team What We're Looking For This role will suit someone with a strong research background and a genuine interest in solving challenging machine learning problems. You'll ideally have experience with: Strong Python development skills Deep Learning (essential) Building and developing Deep Learning models from research through to implementation System Modelling or Simulation Modelling PyTorch, JAX, NumPy or similar machine learning frameworks Experience working within an Applied Research or R&D environment Desirable experience includes: Time Series modelling or forecasting Digital Twin technologies Reinforcement Learning MSc or PhD in Machine Learning, Computer Science, Mathematics, Physics or Engineering What's On Offer Salary up to £110,000 10% Annual Bonus Hybrid working (typically 2 days per week in the Farringdon office) Work on genuinely challenging AI research with real-world impact Join a collaborative team of scientists and engineers Opportunity to influence research and see your work deployed into production If you're looking for an opportunity where Deep Learning research is at the heart of the role, and enjoy solving complex modelling problems rather than simply applying existing techniques, we'd love to hear from you. Apply now and one of our consultants will be in touch to discuss the opportunity in more detail.
Data Scientist (AI & Conversational Analytics) Hybrid - 1 day per week in office A leading global organisation is seeking an experienced Data Scientist to help shape the future of enterprise analytics and AI-enabled decision making. This is a unique opportunity to play a key role in the development of trusted, conversational analytics solutions powered by AI and advanced data modelling. Working closely with senior leadership, you will help transform complex business data into intuitive, natural language insights while ensuring the highest standards of governance, accuracy, and explainability. Key Responsibilities Design and deliver AI-powered conversational analytics solutions using enterprise data models and business intelligence platforms. Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs. Partner with data, BI, and technology teams to optimise semantic models for AI readiness. Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection. Contribute to the organisation's long-term Data & AI strategy, influencing senior stakeholders and executive leadership. Establish best practices, standards, and governance frameworks for responsible AI adoption. Coach and support analytics teams in developing AI-ready modelling and insight capabilities. About You Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field. Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences. Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable). Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions. Deep understanding of data governance, data quality, statistical validation, and AI risk management. Comfortable operating in evolving environments where you can shape direction and define solutions. Desirable Experience Microsoft Copilot, Azure OpenAI, or similar AI platforms. Retrieval-Augmented Generation (RAG) and semantic grounding techniques. Executive-level analytics solutions and trusted AI implementations. Highly regulated or data-governed environments. What We Offer Opportunity to influence enterprise-wide AI and analytics strategy. Exposure to executive stakeholders and high-impact business initiatives. A collaborative environment focused on innovation, data-driven decision making, and responsible AI adoption. Hybrid working with flexibility and a strong commitment to professional development. Please note: This role focuses on building trusted, enterprise-grade AI insight solutions where accuracy, governance, and business value are paramount. Apply now to avoid disappointment! To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Jul 29, 2026
Full time
Data Scientist (AI & Conversational Analytics) Hybrid - 1 day per week in office A leading global organisation is seeking an experienced Data Scientist to help shape the future of enterprise analytics and AI-enabled decision making. This is a unique opportunity to play a key role in the development of trusted, conversational analytics solutions powered by AI and advanced data modelling. Working closely with senior leadership, you will help transform complex business data into intuitive, natural language insights while ensuring the highest standards of governance, accuracy, and explainability. Key Responsibilities Design and deliver AI-powered conversational analytics solutions using enterprise data models and business intelligence platforms. Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs. Partner with data, BI, and technology teams to optimise semantic models for AI readiness. Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection. Contribute to the organisation's long-term Data & AI strategy, influencing senior stakeholders and executive leadership. Establish best practices, standards, and governance frameworks for responsible AI adoption. Coach and support analytics teams in developing AI-ready modelling and insight capabilities. About You Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field. Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences. Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable). Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions. Deep understanding of data governance, data quality, statistical validation, and AI risk management. Comfortable operating in evolving environments where you can shape direction and define solutions. Desirable Experience Microsoft Copilot, Azure OpenAI, or similar AI platforms. Retrieval-Augmented Generation (RAG) and semantic grounding techniques. Executive-level analytics solutions and trusted AI implementations. Highly regulated or data-governed environments. What We Offer Opportunity to influence enterprise-wide AI and analytics strategy. Exposure to executive stakeholders and high-impact business initiatives. A collaborative environment focused on innovation, data-driven decision making, and responsible AI adoption. Hybrid working with flexibility and a strong commitment to professional development. Please note: This role focuses on building trusted, enterprise-grade AI insight solutions where accuracy, governance, and business value are paramount. Apply now to avoid disappointment! To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
hackajob is collaborating with Third Bridge Group to connect them with exceptional professionals for this role. Third Bridge is a leading global research firm established in 2007, with a team of over 1,500 employees worldwide dedicated to fueling decisions with expert insights . We accelerate and enhance decision-making for investors and business leaders by unearthing unique expert insights across multiple sectors, geographies, and topics. For nearly 20 years, we've helped clients access knowledge on demand from experts, in-person and through our Library covering over 65,000 companies. We stand at the cutting edge of technology and investment research, driving innovation to deliver solutions that set new industry standards. We are building a Data Science capability within our Data Architecture function, and are seeking a Data Scientist who combines technical rigour with a prototyping mindset - someone dedicated to proving what's possible with our data and handing those proofs to engineering. About the Role: As a Data Scientist at Third Bridge, you will be the engineering-focused prototyping engine within a high-impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary mandate is to design, build, and validate proof-of-concept (PoC) solutions - from new dataset pipelines and ML models to AI-powered internal tools - and hand off successful proofs to the engineering team for production integration. You will work with Third Bridge's rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content derived from tens of thousands of expert interviews. The role gives you the mandate to find new ways to extract value from that data, with the freedom to experiment and the expectation to ship. Key Responsibilities: Design and build PoC solutions with a clear 'ship-or-kill' decision framework, defining evaluation criteria upfront so success is measurable, not just qualitative. Build extraction, transformation, and loading (ETL/ELT) pipelines to create net-new datasets for analytical or ML use, including feature engineering pipelines for model training and downstream reporting. Apply supervised and unsupervised ML techniques to commercially relevant problems: usage propensity, client segmentation, churn modelling, content recommendation, and anomaly detection. Develop lightweight Python-based tools and notebook applications that allow business stakeholders to interact with model outputs or curated data extracts. Prototype AI-assisted internal tools - including applications leveraging LLM APIs, embedding-based search, and retrieval-augmented generation (RAG) - to demonstrate near-term business value from Third Bridge's content assets. Collaborate closely with the analytics peers to align on data definitions, shared datasets, and metric standards that underpin both experimental and production work. Work with the engineering team to define production requirements for successful PoCs, producing clean, well-documented code and architecture notes to support seamless handoff. Advocate upstream for data quality and instrumentation requirements with Product and Engineering, contributing to the team's engineering standards and practices. Essential Qualifications: Masters degree (or equivalent) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a quantitative field such as Economics. Professional experience in a data science, ML engineering, or applied data role. Strong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework. Working knowledge of Bedrock and other AWS managed services. Demonstrable experience building and deploying at least one end-to-end ML model or data pipeline in a professional setting, with clear evaluation criteria and documented outcomes. A track record of building PoC or prototype solutions and iterating toward production-readiness, with the discipline to define 'ship-or-kill' criteria upfront. Strong version control practices (Git) and familiarity with software engineering workflows including code review and CI/CD awareness. The ability to communicate technical findings and trade-offs clearly to both technical peers and non-technical stakeholders. Qualifications Desired Attributes: Exceptional problem-solving instincts and a bias toward shipping: able to make a PoC useful and demonstrable quickly, without over-engineering early-stage solutions. Familiarity with AWS Bedrock or other managed AI/LLM platforms (e.g. OpenAI API, Anthropic API) for building and integrating AI-powered features is a strong plus, though AI capability should complement, not replace, a solid foundation in traditional ML. Experience with NLP, text classification, embedding models, or semantic search, particularly applied to content-rich or document-heavy datasets. Familiarity with building lightweight web applications or data tools such as Streamlit, FastAPI, or Flask, enabling business stakeholders to interact directly with model outputs. Experience with orchestration or transformation tooling such as dbt, Airflow, or Prefect, demonstrating an ability to build reproducible and maintainable pipelines. A tech-agnostic mindset, open to selecting the right tool for each problem - whether that is a classical statistical model, a gradient boosting approach, or an LLM-backed workflow. Exposure to product analytics, B2B SaaS, publishing, or content-rich datasets is a plus. Natural curiosity and a proactive approach to staying current with developments in both traditional ML and generative AI - and bringing relevant ideas back to the team. Excellent collaboration skills, with the instinct to treat the analytics peer and engineering team as partners rather than handoff recipients. How will you be rewarded? We truly care about our people so in return for your work, you'll get: Vacation: 25 days (which increases to 28 days after 2 years of service) plus UK Bank Holidays Learning: personal development allowance of £1000 per year Health and wellbeing: private medical insurance and healthcare cash plan, a variety of health and wellbeing events to focus on mental health, Ride to Work scheme (savings on bikes and accessories) Future and family: pension contributions of 4% (increases with tenure) and life insurance of 4x of your base salary Flexibility: work from anywhere for one month per year, 2 annual volunteer days, 2 personal days when life throws you a curveball and 'Summer Fridays' Rewards: get points through our colleague-to-colleague recognition programme to spend on hotels, gift cards, donations to charity and more Social: optional social gatherings, daily breakfast and snacks, social events ESG: CSR, Environment and Diversity & Inclusion (including Women at Third Bridge, Pride and Blkbridge) Frontline Innovation: your chance to share your ideas for improvement through Hackathons and other events Third Bridge values your trust and is committed to the responsible management, use, and protection of personal information. By submitting a Third Bridge job application, I hereby provide Third Bridge (including Third Bridge's affiliates and relevant third-party suppliers) with my consent to collect, store and process my personal information for the purpose of recruitment administration, as well as to share such personal information with third parties for the same purpose, in accordance with the Candidate Privacy Notice. We know that to be truly innovative, we need to have a diverse team around us. That is why Third Bridge is committed to creating an inclusive environment and is proud to be an equal opportunity employer. If you are not 100% sure if you are right for the role, please apply anyway, and we will be happy to consider your application.
Jul 28, 2026
Full time
hackajob is collaborating with Third Bridge Group to connect them with exceptional professionals for this role. Third Bridge is a leading global research firm established in 2007, with a team of over 1,500 employees worldwide dedicated to fueling decisions with expert insights . We accelerate and enhance decision-making for investors and business leaders by unearthing unique expert insights across multiple sectors, geographies, and topics. For nearly 20 years, we've helped clients access knowledge on demand from experts, in-person and through our Library covering over 65,000 companies. We stand at the cutting edge of technology and investment research, driving innovation to deliver solutions that set new industry standards. We are building a Data Science capability within our Data Architecture function, and are seeking a Data Scientist who combines technical rigour with a prototyping mindset - someone dedicated to proving what's possible with our data and handing those proofs to engineering. About the Role: As a Data Scientist at Third Bridge, you will be the engineering-focused prototyping engine within a high-impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary mandate is to design, build, and validate proof-of-concept (PoC) solutions - from new dataset pipelines and ML models to AI-powered internal tools - and hand off successful proofs to the engineering team for production integration. You will work with Third Bridge's rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content derived from tens of thousands of expert interviews. The role gives you the mandate to find new ways to extract value from that data, with the freedom to experiment and the expectation to ship. Key Responsibilities: Design and build PoC solutions with a clear 'ship-or-kill' decision framework, defining evaluation criteria upfront so success is measurable, not just qualitative. Build extraction, transformation, and loading (ETL/ELT) pipelines to create net-new datasets for analytical or ML use, including feature engineering pipelines for model training and downstream reporting. Apply supervised and unsupervised ML techniques to commercially relevant problems: usage propensity, client segmentation, churn modelling, content recommendation, and anomaly detection. Develop lightweight Python-based tools and notebook applications that allow business stakeholders to interact with model outputs or curated data extracts. Prototype AI-assisted internal tools - including applications leveraging LLM APIs, embedding-based search, and retrieval-augmented generation (RAG) - to demonstrate near-term business value from Third Bridge's content assets. Collaborate closely with the analytics peers to align on data definitions, shared datasets, and metric standards that underpin both experimental and production work. Work with the engineering team to define production requirements for successful PoCs, producing clean, well-documented code and architecture notes to support seamless handoff. Advocate upstream for data quality and instrumentation requirements with Product and Engineering, contributing to the team's engineering standards and practices. Essential Qualifications: Masters degree (or equivalent) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a quantitative field such as Economics. Professional experience in a data science, ML engineering, or applied data role. Strong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework. Working knowledge of Bedrock and other AWS managed services. Demonstrable experience building and deploying at least one end-to-end ML model or data pipeline in a professional setting, with clear evaluation criteria and documented outcomes. A track record of building PoC or prototype solutions and iterating toward production-readiness, with the discipline to define 'ship-or-kill' criteria upfront. Strong version control practices (Git) and familiarity with software engineering workflows including code review and CI/CD awareness. The ability to communicate technical findings and trade-offs clearly to both technical peers and non-technical stakeholders. Qualifications Desired Attributes: Exceptional problem-solving instincts and a bias toward shipping: able to make a PoC useful and demonstrable quickly, without over-engineering early-stage solutions. Familiarity with AWS Bedrock or other managed AI/LLM platforms (e.g. OpenAI API, Anthropic API) for building and integrating AI-powered features is a strong plus, though AI capability should complement, not replace, a solid foundation in traditional ML. Experience with NLP, text classification, embedding models, or semantic search, particularly applied to content-rich or document-heavy datasets. Familiarity with building lightweight web applications or data tools such as Streamlit, FastAPI, or Flask, enabling business stakeholders to interact directly with model outputs. Experience with orchestration or transformation tooling such as dbt, Airflow, or Prefect, demonstrating an ability to build reproducible and maintainable pipelines. A tech-agnostic mindset, open to selecting the right tool for each problem - whether that is a classical statistical model, a gradient boosting approach, or an LLM-backed workflow. Exposure to product analytics, B2B SaaS, publishing, or content-rich datasets is a plus. Natural curiosity and a proactive approach to staying current with developments in both traditional ML and generative AI - and bringing relevant ideas back to the team. Excellent collaboration skills, with the instinct to treat the analytics peer and engineering team as partners rather than handoff recipients. How will you be rewarded? We truly care about our people so in return for your work, you'll get: Vacation: 25 days (which increases to 28 days after 2 years of service) plus UK Bank Holidays Learning: personal development allowance of £1000 per year Health and wellbeing: private medical insurance and healthcare cash plan, a variety of health and wellbeing events to focus on mental health, Ride to Work scheme (savings on bikes and accessories) Future and family: pension contributions of 4% (increases with tenure) and life insurance of 4x of your base salary Flexibility: work from anywhere for one month per year, 2 annual volunteer days, 2 personal days when life throws you a curveball and 'Summer Fridays' Rewards: get points through our colleague-to-colleague recognition programme to spend on hotels, gift cards, donations to charity and more Social: optional social gatherings, daily breakfast and snacks, social events ESG: CSR, Environment and Diversity & Inclusion (including Women at Third Bridge, Pride and Blkbridge) Frontline Innovation: your chance to share your ideas for improvement through Hackathons and other events Third Bridge values your trust and is committed to the responsible management, use, and protection of personal information. By submitting a Third Bridge job application, I hereby provide Third Bridge (including Third Bridge's affiliates and relevant third-party suppliers) with my consent to collect, store and process my personal information for the purpose of recruitment administration, as well as to share such personal information with third parties for the same purpose, in accordance with the Candidate Privacy Notice. We know that to be truly innovative, we need to have a diverse team around us. That is why Third Bridge is committed to creating an inclusive environment and is proud to be an equal opportunity employer. If you are not 100% sure if you are right for the role, please apply anyway, and we will be happy to consider your application.
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jul 27, 2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
hackajob is collaborating with Wise to connect them with exceptional professionals for this role. Company Description Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . Job Description About the role: Wise is one of the fastest-growing global financial platforms, and as we scale, so does the sophistication of the ML systems protecting every transaction. Our Risk ML team is building the model lifecycle platform that makes it possible to develop, deploy, and monitor ML models for financial crime detection - reliably, reproducibly, and at scale. We're looking for a Senior ML Platform Engineer to build this platform from the ground up. You'll design the infrastructure that turns model development from a bespoke, manual process into a scalable, standardised one - so our data and applied scientists can focus on improving detection rather than managing operations. This is a greenfield build with strong investment and direct engagement from Wise's senior leadership. How we work: Risk ML sits within Wise's FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop, and Risk Modelling. You'll sit in Risk Modelling, building the platform layer that makes scaling our detection capabilities possible. You'll work closely with data scientists, feature platform engineers (upstream infrastructure), and Wise's central ML platform team (shared foundations). We value engineers who build for adoption - internal platforms succeed when teams want to use them. What will you be working on? Designing and building the declarative training pipeline - standardised, config-driven model training that any data scientist can use without writing deployment code Building model packaging and serving abstraction - a unified interface that handles multiple model types (classical ML, deep learning, emerging architectures) through a consistent API Implementing the model evaluation framework - standardised metrics, reproducible comparison, and automated validation gates Building model monitoring - drift detection, performance degradation alerts, automated retraining triggers, and full audit trails for regulatory compliance Owning the integration layer with Wise's central ML infrastructure - aligning on boundaries so FinCrime-specific lifecycle tooling builds cleanly on shared foundations Maximising data science productivity - your platform's success is measured by how much time shifts from operational maintenance to improving detection performance What do you need? Experience building ML platform infrastructure in production - training pipelines, model serving, evaluation frameworks, or monitoring systems. Infrastructure that other teams depend on, not individual model work. Strong software engineering fundamentals - you build reliable, well-tested, maintainable systems. Python, Kotlin/Java, SQL. Experience with ML orchestration (Airflow, Kubeflow, or equivalent), model registries (MLflow or similar), and container-based deployment End-to-end understanding of the ML lifecycle - data ingestion through training, packaging, serving, and monitoring - and knowledge of where things break A product mindset for internal tooling - you think about data scientists as users and build for adoption, not just functionality Nice to Have: Model serving at scale - latency optimisation, ONNX packaging, canary deployments for models Experience in FinCrime, fraud, AML, or regulated environments where audit trails and model governance are non-negotiable Experience with model monitoring and drift detection systems in production Track record of migrating teams from manual ML workflows to platform-based approaches Interested? Find out more: How we work - a practical guide Wise Tech Stack (2025 update) See what it's like to work at Wise London! Our Engineering career map Wise Engineering - What do we offer: Starting salary: £111,000 - £145,000 + RSUs Wise Benefits Additional Information For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Jul 23, 2026
Full time
hackajob is collaborating with Wise to connect them with exceptional professionals for this role. Company Description Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . Job Description About the role: Wise is one of the fastest-growing global financial platforms, and as we scale, so does the sophistication of the ML systems protecting every transaction. Our Risk ML team is building the model lifecycle platform that makes it possible to develop, deploy, and monitor ML models for financial crime detection - reliably, reproducibly, and at scale. We're looking for a Senior ML Platform Engineer to build this platform from the ground up. You'll design the infrastructure that turns model development from a bespoke, manual process into a scalable, standardised one - so our data and applied scientists can focus on improving detection rather than managing operations. This is a greenfield build with strong investment and direct engagement from Wise's senior leadership. How we work: Risk ML sits within Wise's FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop, and Risk Modelling. You'll sit in Risk Modelling, building the platform layer that makes scaling our detection capabilities possible. You'll work closely with data scientists, feature platform engineers (upstream infrastructure), and Wise's central ML platform team (shared foundations). We value engineers who build for adoption - internal platforms succeed when teams want to use them. What will you be working on? Designing and building the declarative training pipeline - standardised, config-driven model training that any data scientist can use without writing deployment code Building model packaging and serving abstraction - a unified interface that handles multiple model types (classical ML, deep learning, emerging architectures) through a consistent API Implementing the model evaluation framework - standardised metrics, reproducible comparison, and automated validation gates Building model monitoring - drift detection, performance degradation alerts, automated retraining triggers, and full audit trails for regulatory compliance Owning the integration layer with Wise's central ML infrastructure - aligning on boundaries so FinCrime-specific lifecycle tooling builds cleanly on shared foundations Maximising data science productivity - your platform's success is measured by how much time shifts from operational maintenance to improving detection performance What do you need? Experience building ML platform infrastructure in production - training pipelines, model serving, evaluation frameworks, or monitoring systems. Infrastructure that other teams depend on, not individual model work. Strong software engineering fundamentals - you build reliable, well-tested, maintainable systems. Python, Kotlin/Java, SQL. Experience with ML orchestration (Airflow, Kubeflow, or equivalent), model registries (MLflow or similar), and container-based deployment End-to-end understanding of the ML lifecycle - data ingestion through training, packaging, serving, and monitoring - and knowledge of where things break A product mindset for internal tooling - you think about data scientists as users and build for adoption, not just functionality Nice to Have: Model serving at scale - latency optimisation, ONNX packaging, canary deployments for models Experience in FinCrime, fraud, AML, or regulated environments where audit trails and model governance are non-negotiable Experience with model monitoring and drift detection systems in production Track record of migrating teams from manual ML workflows to platform-based approaches Interested? Find out more: How we work - a practical guide Wise Tech Stack (2025 update) See what it's like to work at Wise London! Our Engineering career map Wise Engineering - What do we offer: Starting salary: £111,000 - £145,000 + RSUs Wise Benefits Additional Information For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION As an Applied AI / ML Lead - Vice President - Machine Learning Engineer at JPMorgan Infrastructure Platform, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Generative AI, Agentic AI, and statistical machine learning to revolutionize cloud migration. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job responsibilities: Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions. Design and execute enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale. Build and maintain data pipelines and processing workflows for scalable, efficient data consumption. Write secure, high-quality production code and conduct code reviews. Partner with Engineering, Product, and Business teams to identify requirements and develop solutions. Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required qualifications, capabilities, and skills: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in machine learning engineering. Strong proficiency in Python and experience deploying end-to-end pipelines on AWS. Hands-on experience in system design, application development, testing, and operational stability. Preferred qualifications, capabilities, and skills: Strategic thinker with the ability to drive technical vision for business impact. Demonstrated leadership working with engineers, data scientists, and ML practitioners. Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP) Experience with AWS and infrastructure-as-code tools such as Terraform. Experience in multi-agent orchestration. Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines. Experience with agentic telemetry and evaluation services. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Jul 23, 2026
Full time
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION As an Applied AI / ML Lead - Vice President - Machine Learning Engineer at JPMorgan Infrastructure Platform, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Generative AI, Agentic AI, and statistical machine learning to revolutionize cloud migration. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job responsibilities: Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions. Design and execute enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale. Build and maintain data pipelines and processing workflows for scalable, efficient data consumption. Write secure, high-quality production code and conduct code reviews. Partner with Engineering, Product, and Business teams to identify requirements and develop solutions. Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required qualifications, capabilities, and skills: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in machine learning engineering. Strong proficiency in Python and experience deploying end-to-end pipelines on AWS. Hands-on experience in system design, application development, testing, and operational stability. Preferred qualifications, capabilities, and skills: Strategic thinker with the ability to drive technical vision for business impact. Demonstrated leadership working with engineers, data scientists, and ML practitioners. Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP) Experience with AWS and infrastructure-as-code tools such as Terraform. Experience in multi-agent orchestration. Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines. Experience with agentic telemetry and evaluation services. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
hackajob is collaborating with Leonardo to connect them with exceptional professionals for this role. Job Description: Are you an experienced Systems Engineer or Scientist with an Electronics background? We are recruiting for a Principal Systems Engineer in our growing Detectors Area of Business, who can apply their expertise to deliver cutting-edge Electro-optic/InfraRed (EO/IR) capabilities across our Detector products. Based at our dedicated site in Southampton and offered with our award winning package. Your Impact Our Systems Engineers span across a range of activities that help pull together all the necessary engineering and technology strands into a high-performance system. As a Systems Engineer, you will bridge the gap between the theoretically possible and the practically implementable. What we build is exciting, interesting, challenging and complex. A diverse product portfolio of EO/IR technologies, with each programme at a different stage in its development lifecycle. Typical work you might be involved in: Applied research: Early research looking into exploiting new technologies or concepts. Requirements capture, definition, development, modelling, manufacture, test, and verification of EO/IR technologies. Applying and improving systems engineering processes across the full lifecycle. Collaborating with integrated project teams to design, build, and deliver EO/IR equipment. To be successful you will demonstrate passion for your trade by instilling a systems-thinking approach based on experience forming and leading high performing teams. You will be able to influence those you work with, thrive in dynamic environments, demonstrate resilience when faced with adversity and able to make decisions quickly under pressure and setting a clear technical vision for the project team. Given the extensive people engagement nature of the work, we are still able to offer custom working that allows for a combination of home and on-site working i.e. flexible working delivering effective results. What you'll bring You will have an electronics background and proven domain experience in EO/IR technologies, with the following attributes: Act as the focal point for systems engineering governance on the project, Requirements capture and management, System definition and development, Modelling and analysis, Verification and validation, Full engineering lifecycle application, Experience working in product development teams delivering Engineering artefacts successfully, Experience in managing and collaborating with internal/external stakeholders, Proven decision-making skills in a high complexity, dynamic environment, Excellent communication and interpersonal skills, proven ability to build trust and respect at different levels, Motivation, tenacity and determination, with a desire to deliver outputs and results. The following experience/skills are very desirable: PhD, EngD or Post-graduate degree in electro-optics, Experience with Model Based Design (MBD) tools and methodologies to support describing and analysing through the problem to implementation domains Experience with modelling tools e.g. Mathcad, MATLAB, Simulink, Experience with data acquisition tools such as LabView, Experience in using a requirement management tool to manage relationships of requirement and other project artefacts (DOORS, Polarion, Jama, etc ). This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Southampton Contract Type: Permanent Hybrid Working: Hybrid
Jul 22, 2026
Full time
hackajob is collaborating with Leonardo to connect them with exceptional professionals for this role. Job Description: Are you an experienced Systems Engineer or Scientist with an Electronics background? We are recruiting for a Principal Systems Engineer in our growing Detectors Area of Business, who can apply their expertise to deliver cutting-edge Electro-optic/InfraRed (EO/IR) capabilities across our Detector products. Based at our dedicated site in Southampton and offered with our award winning package. Your Impact Our Systems Engineers span across a range of activities that help pull together all the necessary engineering and technology strands into a high-performance system. As a Systems Engineer, you will bridge the gap between the theoretically possible and the practically implementable. What we build is exciting, interesting, challenging and complex. A diverse product portfolio of EO/IR technologies, with each programme at a different stage in its development lifecycle. Typical work you might be involved in: Applied research: Early research looking into exploiting new technologies or concepts. Requirements capture, definition, development, modelling, manufacture, test, and verification of EO/IR technologies. Applying and improving systems engineering processes across the full lifecycle. Collaborating with integrated project teams to design, build, and deliver EO/IR equipment. To be successful you will demonstrate passion for your trade by instilling a systems-thinking approach based on experience forming and leading high performing teams. You will be able to influence those you work with, thrive in dynamic environments, demonstrate resilience when faced with adversity and able to make decisions quickly under pressure and setting a clear technical vision for the project team. Given the extensive people engagement nature of the work, we are still able to offer custom working that allows for a combination of home and on-site working i.e. flexible working delivering effective results. What you'll bring You will have an electronics background and proven domain experience in EO/IR technologies, with the following attributes: Act as the focal point for systems engineering governance on the project, Requirements capture and management, System definition and development, Modelling and analysis, Verification and validation, Full engineering lifecycle application, Experience working in product development teams delivering Engineering artefacts successfully, Experience in managing and collaborating with internal/external stakeholders, Proven decision-making skills in a high complexity, dynamic environment, Excellent communication and interpersonal skills, proven ability to build trust and respect at different levels, Motivation, tenacity and determination, with a desire to deliver outputs and results. The following experience/skills are very desirable: PhD, EngD or Post-graduate degree in electro-optics, Experience with Model Based Design (MBD) tools and methodologies to support describing and analysing through the problem to implementation domains Experience with modelling tools e.g. Mathcad, MATLAB, Simulink, Experience with data acquisition tools such as LabView, Experience in using a requirement management tool to manage relationships of requirement and other project artefacts (DOORS, Polarion, Jama, etc ). This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Southampton Contract Type: Permanent Hybrid Working: Hybrid
Senior Product Data Scientist Contract Length: 12 Months Location: Hybrid - 3 days a week at Heathrow Airport IR35 Status: Inside About the Role We are looking for a Senior Product Data Scientist to help drive product innovation through data, experimentation and advanced analytics. You will work closely with Product Managers, Engineers and business stakeholders to identify opportunities, generate insights and build scalable data science solutions that improve customer and business outcomes. The successful candidate will combine strong analytical thinking with practical implementation skills and a passion for solving complex product and optimisation challenges. What You'll Do Partner with Product and Engineering teams to define success metrics and evaluate product performance. Conduct exploratory analysis to identify opportunities for growth and customer impact. Design and analyse experiments including A/B tests and observational studies. Build predictive models and analytical tools that support product decision-making. Develop decision science and optimisation solutions where appropriate. Create dashboards, reporting frameworks and self-service analytics capabilities. Present findings and recommendations to both technical and non-technical audiences. Collaborate with stakeholders to translate business problems into analytical solutions. Contribute to data science best practices and mentor junior team members. Preferred Experience 4+ years of experience in Data Science, Product Analytics, Decision Science, Applied Science or related fields. Experience using data to influence product or business decisions. Strong understanding of statistics, experimentation and machine learning. Experience delivering end-to-end analytical projects. Experience working in cross-functional product teams. Demonstrated ability to communicate complex findings clearly. Technical Skills Python and SQL Statistical analysis and experimentation Machine Learning Data Visualisation and Dashboarding Cloud-based analytics environments Data modelling and feature engineering Nice to Have Experience with optimisation, operations research or decision science. Experience with pricing, scheduling, forecasting or resource allocation problems. Familiarity with Gurobi, CPLEX, OR-Tools or similar optimisation tools. Experience in airlines, transportation, logistics, retail, marketplace or technology companies. MSc or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science or related field. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Jul 15, 2026
Contractor
Senior Product Data Scientist Contract Length: 12 Months Location: Hybrid - 3 days a week at Heathrow Airport IR35 Status: Inside About the Role We are looking for a Senior Product Data Scientist to help drive product innovation through data, experimentation and advanced analytics. You will work closely with Product Managers, Engineers and business stakeholders to identify opportunities, generate insights and build scalable data science solutions that improve customer and business outcomes. The successful candidate will combine strong analytical thinking with practical implementation skills and a passion for solving complex product and optimisation challenges. What You'll Do Partner with Product and Engineering teams to define success metrics and evaluate product performance. Conduct exploratory analysis to identify opportunities for growth and customer impact. Design and analyse experiments including A/B tests and observational studies. Build predictive models and analytical tools that support product decision-making. Develop decision science and optimisation solutions where appropriate. Create dashboards, reporting frameworks and self-service analytics capabilities. Present findings and recommendations to both technical and non-technical audiences. Collaborate with stakeholders to translate business problems into analytical solutions. Contribute to data science best practices and mentor junior team members. Preferred Experience 4+ years of experience in Data Science, Product Analytics, Decision Science, Applied Science or related fields. Experience using data to influence product or business decisions. Strong understanding of statistics, experimentation and machine learning. Experience delivering end-to-end analytical projects. Experience working in cross-functional product teams. Demonstrated ability to communicate complex findings clearly. Technical Skills Python and SQL Statistical analysis and experimentation Machine Learning Data Visualisation and Dashboarding Cloud-based analytics environments Data modelling and feature engineering Nice to Have Experience with optimisation, operations research or decision science. Experience with pricing, scheduling, forecasting or resource allocation problems. Familiarity with Gurobi, CPLEX, OR-Tools or similar optimisation tools. Experience in airlines, transportation, logistics, retail, marketplace or technology companies. MSc or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science or related field. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in backend software development, building scalable, resilient, and production-grade systems Hands-on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and cost Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrieval Experience designing and building APIs, distributed systems, and event-driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similar Familiarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferred Strong problem-solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business value Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field Responsibilities As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting-edge AI capabilities into real-world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform innovative ideas into reliable, secure, and impactful products. Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents Develop and deploy advanced LLM-powered applications using techniques such as retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization Create robust data and inference pipelines that support both real-time and batch AI workloads at enterprise scale Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services Build systems that enable AI agents to reason, automate tasks, interact with tools, and solve complex business challenges autonomously Optimize applications for performance, scalability, reliability, and cost efficiency while supporting increasing AI adoption and usage Implement engineering best practices around observability, monitoring, testing, security, and operational excellence Establish and champion MLOps practices including model lifecycle management, prompt versioning, automated evaluation, and continuous improvement Build reusable frameworks, developer tooling, and platform capabilities that accelerate AI innovation across multiple teams Participate in architecture discussions, technical design reviews, and engineering initiatives that influence the future direction of AI products Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning About the Team Our Innovation team is responsible for building next-generation internal and external products powered by cutting-edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing. The group is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate about solving complex challenges and turning breakthrough ideas into real-world solutions. We operate in agile, highly collaborative squads focused on delivering innovative products that enhance productivity, unlock insights, and create measurable business impact. Collaboration is at the heart of everything we do. Engineers have the opportunity to work across the full AI lifecycle, from experimentation and prototyping through to large-scale production deployment. Joining our team means working on some of the most exciting challenges in applied AI, contributing to products used across the organisation, and being part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Jul 14, 2026
Full time
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in backend software development, building scalable, resilient, and production-grade systems Hands-on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and cost Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrieval Experience designing and building APIs, distributed systems, and event-driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similar Familiarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferred Strong problem-solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business value Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field Responsibilities As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting-edge AI capabilities into real-world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform innovative ideas into reliable, secure, and impactful products. Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents Develop and deploy advanced LLM-powered applications using techniques such as retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization Create robust data and inference pipelines that support both real-time and batch AI workloads at enterprise scale Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services Build systems that enable AI agents to reason, automate tasks, interact with tools, and solve complex business challenges autonomously Optimize applications for performance, scalability, reliability, and cost efficiency while supporting increasing AI adoption and usage Implement engineering best practices around observability, monitoring, testing, security, and operational excellence Establish and champion MLOps practices including model lifecycle management, prompt versioning, automated evaluation, and continuous improvement Build reusable frameworks, developer tooling, and platform capabilities that accelerate AI innovation across multiple teams Participate in architecture discussions, technical design reviews, and engineering initiatives that influence the future direction of AI products Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning About the Team Our Innovation team is responsible for building next-generation internal and external products powered by cutting-edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing. The group is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate about solving complex challenges and turning breakthrough ideas into real-world solutions. We operate in agile, highly collaborative squads focused on delivering innovative products that enhance productivity, unlock insights, and create measurable business impact. Collaboration is at the heart of everything we do. Engineers have the opportunity to work across the full AI lifecycle, from experimentation and prototyping through to large-scale production deployment. Joining our team means working on some of the most exciting challenges in applied AI, contributing to products used across the organisation, and being part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration. Ready to make your mark? Join us and be part of something bigger. As a Senior AI Engineer within the Workday Products at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions that enhance our Workday Products offerings. Your focus will be on integrating AI models into production systems, optimizing performance, and maintaining the reliability of AI-driven features, while contributing to the technical growth of the team. Essential Experience: Solid experience in software development, with proficiency in languages such as Python, Java, or C++, writing clean, efficient, and maintainable code for production grade AI solutions. Hands-on experience deploying AI/ML models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. Working knowledge of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. Exposure to agile software development practices and experience working in agile teams. Strong interpersonal skills, with the ability to collaborate with cross-functional teams, translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). Exposure to deep learning techniques (e.g., CNNs, RNNs, Transformers) applied to real-world problems. Participation in knowledge-sharing activities such as conferences, workshops, or blogs. Who you are: Determined - you're flexible and overcome obstacles to get the job done to achieve personal and team goals. Creative - you actively look for better ways to do things using the latest AI technologies to find fresh solutions to complex problems Honest - always constructive when giving or receiving feedback, being transparent and truthful when dealing with others Respectful - you treat others as you would like to be treated being encouraging, accepting and supportive to everyone you deal with Cooperative - you share information, knowledge and experience, understanding the mutual benefits of team working. Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
Jul 14, 2026
Full time
hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration. Ready to make your mark? Join us and be part of something bigger. As a Senior AI Engineer within the Workday Products at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions that enhance our Workday Products offerings. Your focus will be on integrating AI models into production systems, optimizing performance, and maintaining the reliability of AI-driven features, while contributing to the technical growth of the team. Essential Experience: Solid experience in software development, with proficiency in languages such as Python, Java, or C++, writing clean, efficient, and maintainable code for production grade AI solutions. Hands-on experience deploying AI/ML models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. Working knowledge of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. Exposure to agile software development practices and experience working in agile teams. Strong interpersonal skills, with the ability to collaborate with cross-functional teams, translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). Exposure to deep learning techniques (e.g., CNNs, RNNs, Transformers) applied to real-world problems. Participation in knowledge-sharing activities such as conferences, workshops, or blogs. Who you are: Determined - you're flexible and overcome obstacles to get the job done to achieve personal and team goals. Creative - you actively look for better ways to do things using the latest AI technologies to find fresh solutions to complex problems Honest - always constructive when giving or receiving feedback, being transparent and truthful when dealing with others Respectful - you treat others as you would like to be treated being encouraging, accepting and supportive to everyone you deal with Cooperative - you share information, knowledge and experience, understanding the mutual benefits of team working. Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 08, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 07, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Summary: Join our team as a Catchment Advisor to lead the development and implementation of critical catchment management activities in priority drinking water areas. This multi-faceted role involves close collaboration with statutory and non-statutory stakeholders, including charities, NGOs, landowners, businesses, and the Environment Agency (EA). You'll be instrumental in ensuring regulatory compliance with the Water Industry National Environment Programme (WINEP) and supporting Drinking Water Inspectorate (DWI) obligations. A key focus will be on stakeholder engagement, education, and compliance assurance to protect water resources and address water quality issues. This position plays a vital role in achieving our carbon footprint reduction goals and delivering strong customer value through sustainable water management. You'll also contribute significantly to climate change resilience activities, developing long-term solutions to safeguard drinking water provision and quality for the future. Main responsibilities: Deliver catchment investigation activities and/or catchment no deterioration schemes associated with South East Water's obligations under the Water Industry National Environment Programme (WINEP). Plan suitable monitoring strategies and assess monitoring data from Catchment Scientists to determine sources of pollution, using this information to inform and guide necessary catchment interventions or remedial works. Conducting land usage surveys to determine potential pollution hot spots and use this information to educate and change behaviours and activities in external stakeholders' operations. For investigations, undertake hydrological and hydrogeological characterisations reports and produce source-pathway-receptor models. Ensuring that findings and outcomes are used across the business to improve operations. Work closely with the Catchment team to record project performance and land owner engagement statistics. Work with these Stakeholders and other internal teams to ensure that planned actions are guided and driven by our environmental plans. Advocate and promote the environmental work of South East Water through engagement with stakeholders on an everyday basis as well as the design and delivery of special workshops and events. Working with our various regulators and guardians to produce technical written reports of a high standard to meet tight regulatory deadlines and highlight the positive works of South East Water. Support the business with reactive, emergency environmental advice to minimise environmental impact of work and to reduce the likelihood of environmental prosecutions. You'll need: Skills / Qualifications / Experience Educated to degree level in an environmental / related discipline. The ability to understand the diverse world of catchment management. Excellent Stakeholder management skills - with the gravitas and communication skills needed to explain and gain buy in to complex environmental processes / solutions. Demonstrable experience of working within or alongside the water industry to provide catchment management or environmental protection services. Experience of working with diverse stakeholder groups in an environmental setting. Experience of working within / alongside regulatory bodies. Employees are required to be flexible and to be prepared to perform duties and other tasks within their capabilities. The nature of our business is such that the contents of any job profile are subject to change from time to time. We want to be the water company people want to be supplied by and want to work for. We know the communities we serve are diverse. We recognise creativity comes from diversity not similarity. That's why we are enthusiastic about creating inclusion across age, race, gender, ethnicity, religion and identity. You will experience our dedication to equal opportunities and fair treatment for all: through your recruitment, employment and career progression with South East Water. Benefits package: Excellent Stakeholder pension scheme, up to 10% employer contribution. 5 weeks holiday plus bank holidays per annum, increasing to 6 weeks with length of service. Flexible annual leave policy to buy or sell holiday leave. Paid volunteering days. Cycle to work scheme. Health cash plan. Life assurance. Wellbeing related benefits. What can you expect from your recruitment? To apply for this position, please submit your CV on our career's website. It is necessary for you to have the legal right to work in the UK when you begin employment with South East Water. Additionally, as part of the employment offer, you will need to pass background, identity, and employment referencing checks. If this sounds like the opportunity you've been looking for, apply now! South East Water kindly asks that recruitment agencies refrain from submitting CVs to our employees or associates without explicit invitation from our HR Resourcing team. CVs sent on a speculative basis will not be acknowledged and will not assume any responsibility for fees or commissions in the event that we hire a candidate who applied directly or subsequently introduced by an instructed agency. Compensation package: £40,000 p.a. (dependent on experience)
Oct 06, 2025
Full time
Summary: Join our team as a Catchment Advisor to lead the development and implementation of critical catchment management activities in priority drinking water areas. This multi-faceted role involves close collaboration with statutory and non-statutory stakeholders, including charities, NGOs, landowners, businesses, and the Environment Agency (EA). You'll be instrumental in ensuring regulatory compliance with the Water Industry National Environment Programme (WINEP) and supporting Drinking Water Inspectorate (DWI) obligations. A key focus will be on stakeholder engagement, education, and compliance assurance to protect water resources and address water quality issues. This position plays a vital role in achieving our carbon footprint reduction goals and delivering strong customer value through sustainable water management. You'll also contribute significantly to climate change resilience activities, developing long-term solutions to safeguard drinking water provision and quality for the future. Main responsibilities: Deliver catchment investigation activities and/or catchment no deterioration schemes associated with South East Water's obligations under the Water Industry National Environment Programme (WINEP). Plan suitable monitoring strategies and assess monitoring data from Catchment Scientists to determine sources of pollution, using this information to inform and guide necessary catchment interventions or remedial works. Conducting land usage surveys to determine potential pollution hot spots and use this information to educate and change behaviours and activities in external stakeholders' operations. For investigations, undertake hydrological and hydrogeological characterisations reports and produce source-pathway-receptor models. Ensuring that findings and outcomes are used across the business to improve operations. Work closely with the Catchment team to record project performance and land owner engagement statistics. Work with these Stakeholders and other internal teams to ensure that planned actions are guided and driven by our environmental plans. Advocate and promote the environmental work of South East Water through engagement with stakeholders on an everyday basis as well as the design and delivery of special workshops and events. Working with our various regulators and guardians to produce technical written reports of a high standard to meet tight regulatory deadlines and highlight the positive works of South East Water. Support the business with reactive, emergency environmental advice to minimise environmental impact of work and to reduce the likelihood of environmental prosecutions. You'll need: Skills / Qualifications / Experience Educated to degree level in an environmental / related discipline. The ability to understand the diverse world of catchment management. Excellent Stakeholder management skills - with the gravitas and communication skills needed to explain and gain buy in to complex environmental processes / solutions. Demonstrable experience of working within or alongside the water industry to provide catchment management or environmental protection services. Experience of working with diverse stakeholder groups in an environmental setting. Experience of working within / alongside regulatory bodies. Employees are required to be flexible and to be prepared to perform duties and other tasks within their capabilities. The nature of our business is such that the contents of any job profile are subject to change from time to time. We want to be the water company people want to be supplied by and want to work for. We know the communities we serve are diverse. We recognise creativity comes from diversity not similarity. That's why we are enthusiastic about creating inclusion across age, race, gender, ethnicity, religion and identity. You will experience our dedication to equal opportunities and fair treatment for all: through your recruitment, employment and career progression with South East Water. Benefits package: Excellent Stakeholder pension scheme, up to 10% employer contribution. 5 weeks holiday plus bank holidays per annum, increasing to 6 weeks with length of service. Flexible annual leave policy to buy or sell holiday leave. Paid volunteering days. Cycle to work scheme. Health cash plan. Life assurance. Wellbeing related benefits. What can you expect from your recruitment? To apply for this position, please submit your CV on our career's website. It is necessary for you to have the legal right to work in the UK when you begin employment with South East Water. Additionally, as part of the employment offer, you will need to pass background, identity, and employment referencing checks. If this sounds like the opportunity you've been looking for, apply now! South East Water kindly asks that recruitment agencies refrain from submitting CVs to our employees or associates without explicit invitation from our HR Resourcing team. CVs sent on a speculative basis will not be acknowledged and will not assume any responsibility for fees or commissions in the event that we hire a candidate who applied directly or subsequently introduced by an instructed agency. Compensation package: £40,000 p.a. (dependent on experience)
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Do you have knowledge of water process science? If the answer is yes, this is a chance to take the next step in your career We want to be the water company people want to be supplied by and want to work for. You'll be joining as a Process Scientist within our Water Quality department that ensure the safe and efficient operation of our water treatment works. It's your process science knowledge and ability to find the right solutions that will enable you to engage with colleagues around the business on water treatment issues. You'll want to use your water treatment knowledge to contribute to the implementation of operating methods, monitoring of activities and the optimisation of water quality and performance throughout our production and distribution network. It's your logical, methodical approach that help you to investigate water quality issues and give sound advice on the best course of corrective actions. You're self-motivated, well organised with the ability to influence decisions. Ideally, you'll have a detailed knowledge of water treatment process. We're a friendly, open and collaborative team that will give you lots of encouragement to share your ideas. This is an excellent opportunity to make a difference to the success of our Process Science team. What do you get from working at South East Water? You'll grow a career with a meaningful purpose. Be you, belong and be valued. Come to work to be safe, valued, and trusted. We will encourage you to create and pursue new opportunities for personal growth. A place to be the real you, build deeper connections and enjoy a sense of belonging. Be invested in helping us to create a sustainable water supply for now, and in the future. What will you mainly be responsible for delivering? Optimise the performance and maximise the efficiency of water treatment processes. Investigate the cause of compliance/operational water quality breaches. Provide a comprehensive report detailing the findings and conclusions of the investigation. Undertake water treatment works site process audits in a timely manner. Prepare technical reports with conclusions & recommendations as required. Provision of technical support and advice to the business. To provide standby Water Quality cover out of hours for the business. What do you bring to the role? Ideally you will already have Process Scientist experience. Or you will be in another scientific role within the water industry. You're qualified with a science degree, although consideration will be given to capable individuals with a process water treatment background. You're self-motivated, committed and organised with a knowledge of water treatment processes. The role requires a full driving license. What can you expect from us? The desk-based part of the role can be carried out our Water Quality offices at Farnborough (Hampshire), Pembury (Kent) or at home. The successful applicant will be given a Company van as part of the role for site visits. IT and office equipment. A competitive salary. Excellent Stakeholder pension scheme, up to 10% employer contribution. 5 weeks holiday plus bank holidays, increasing to 6 weeks with length of service. Flexible annual leave policy to buy or sell holiday leave. Paid volunteering days. Cycle to work scheme. Health cash plan. Life assurance. Wellbeing related benefits. Electric Vehicle salary sacrifice scheme. Everyone needs water, South East Water welcomes _ everyone. _ We know the communities we serve are diverse. We recognise creativity comes from diversity not similarity. That's why we are enthusiastic about creating inclusion across race, gender, ethnicity, religion and identity. You will experience our dedication to equal opportunities and fair treatment for all: through your recruitment, employment and career progression with South East Water. What to expect from your recruitment. To apply for this position, please submit your CV on our career's Unfortunately, we are not able to offer sponsorship for this role. It is necessary for you to have the legal right to work in the UK when you begin employment with South East Water. Additionally, as part of the employment offer, you will need to pass background, identity, and employment referencing checks. If you require assistance / adjustments to engage with our recruitment process and to ensure you're able to compete on equal terms, please contact the recruitment team via If this sounds like the opportunity you've been looking for, apply now! _South East Water kindly asks that recruitment agencies refrain from submitting CVs to our employees or associates without explicit invitation from our HR Resourcing team. CVs sent on a speculative basis will not be acknowledged and will not assume any responsibility for fees or commissions in the event that we hire a candidate who applied directly or subsequently introduced by an instructed agency._ Job Types: Full-time, Permanent Pay: £31,733.00-£41,930.00 per year Benefits: Company pension Cycle to work scheme Health & wellbeing programme Life insurance Work Location: In person
Oct 04, 2025
Full time
Do you have knowledge of water process science? If the answer is yes, this is a chance to take the next step in your career We want to be the water company people want to be supplied by and want to work for. You'll be joining as a Process Scientist within our Water Quality department that ensure the safe and efficient operation of our water treatment works. It's your process science knowledge and ability to find the right solutions that will enable you to engage with colleagues around the business on water treatment issues. You'll want to use your water treatment knowledge to contribute to the implementation of operating methods, monitoring of activities and the optimisation of water quality and performance throughout our production and distribution network. It's your logical, methodical approach that help you to investigate water quality issues and give sound advice on the best course of corrective actions. You're self-motivated, well organised with the ability to influence decisions. Ideally, you'll have a detailed knowledge of water treatment process. We're a friendly, open and collaborative team that will give you lots of encouragement to share your ideas. This is an excellent opportunity to make a difference to the success of our Process Science team. What do you get from working at South East Water? You'll grow a career with a meaningful purpose. Be you, belong and be valued. Come to work to be safe, valued, and trusted. We will encourage you to create and pursue new opportunities for personal growth. A place to be the real you, build deeper connections and enjoy a sense of belonging. Be invested in helping us to create a sustainable water supply for now, and in the future. What will you mainly be responsible for delivering? Optimise the performance and maximise the efficiency of water treatment processes. Investigate the cause of compliance/operational water quality breaches. Provide a comprehensive report detailing the findings and conclusions of the investigation. Undertake water treatment works site process audits in a timely manner. Prepare technical reports with conclusions & recommendations as required. Provision of technical support and advice to the business. To provide standby Water Quality cover out of hours for the business. What do you bring to the role? Ideally you will already have Process Scientist experience. Or you will be in another scientific role within the water industry. You're qualified with a science degree, although consideration will be given to capable individuals with a process water treatment background. You're self-motivated, committed and organised with a knowledge of water treatment processes. The role requires a full driving license. What can you expect from us? The desk-based part of the role can be carried out our Water Quality offices at Farnborough (Hampshire), Pembury (Kent) or at home. The successful applicant will be given a Company van as part of the role for site visits. IT and office equipment. A competitive salary. Excellent Stakeholder pension scheme, up to 10% employer contribution. 5 weeks holiday plus bank holidays, increasing to 6 weeks with length of service. Flexible annual leave policy to buy or sell holiday leave. Paid volunteering days. Cycle to work scheme. Health cash plan. Life assurance. Wellbeing related benefits. Electric Vehicle salary sacrifice scheme. Everyone needs water, South East Water welcomes _ everyone. _ We know the communities we serve are diverse. We recognise creativity comes from diversity not similarity. That's why we are enthusiastic about creating inclusion across race, gender, ethnicity, religion and identity. You will experience our dedication to equal opportunities and fair treatment for all: through your recruitment, employment and career progression with South East Water. What to expect from your recruitment. To apply for this position, please submit your CV on our career's Unfortunately, we are not able to offer sponsorship for this role. It is necessary for you to have the legal right to work in the UK when you begin employment with South East Water. Additionally, as part of the employment offer, you will need to pass background, identity, and employment referencing checks. If you require assistance / adjustments to engage with our recruitment process and to ensure you're able to compete on equal terms, please contact the recruitment team via If this sounds like the opportunity you've been looking for, apply now! _South East Water kindly asks that recruitment agencies refrain from submitting CVs to our employees or associates without explicit invitation from our HR Resourcing team. CVs sent on a speculative basis will not be acknowledged and will not assume any responsibility for fees or commissions in the event that we hire a candidate who applied directly or subsequently introduced by an instructed agency._ Job Types: Full-time, Permanent Pay: £31,733.00-£41,930.00 per year Benefits: Company pension Cycle to work scheme Health & wellbeing programme Life insurance Work Location: In person
