Job Title: Biomedical Scientist Location: Belfast Salary: £19.78 an hour Hours: 37.5 per week. Monday to Friday Specific Duties • Perform the basic laboratory work while corresponding to the training and qualifications of a Registered BMS and may be located in any of the laboratory areas within the Department. • Carry out appropriate procedures, including those requiring the exercise of independent judgement and initiative with minimal supervision. • Provide personal and direct supervision for trainees and other supportive personnel within the Belfast Trust Laboratories. • Assist in research projects, where necessary, and to be involved in the development of new procedures and techniques. • Recognise and accept safety regulations, guidelines and policy. • Demonstrate and maintain satisfactory progress in both the academic and the 'in-service' training programmes. • Carry out any other duties not specified above but which might be reasonably expected of a Biomedical Scientist Grade (pay band 5/ 6). • Trainees will follow and pass the course of training as laid down by the Health and care Professions Council (HCPC) leading to state registration. • Participate in a 24 hr service which will include extended working day, overnight, weekend and Public holidays work as part of the conditioned 37.5 hour week. • Participate in Continuous Professional Development in line with KSF and work towards gaining further knowledge through certificate level training and short courses. This will be done through Personal Contribution Plan & Annual Staff Development review. Essential Criteria The following are ESSENTIAL criteria which will initially be measured at shortlisting stage although may also be further explored during the interview/selection stage. You should therefore make it clear on your application form whether or not you meet these criteria. Failure to do so may result in you not being shortlisted. The stage in the process when the criteria will be measured is stated below. Must be registered with the Health & Care Professions Council (HCPC) as a Biomedical Scientist AND have completed IBMS Specialist Diploma (or equivalent) in Microbiology AND have at least 1 year's post HCPC registration experience in Microbiology. OR Have been employed as a Specialist Biomedical Scientist (Band 6) for 3 years, working in Microbiology. Applicant must have maintained HCPC registration and appear on the register. Qualifications/ Registration Must be registered with the HCPC as a Biomedical Scientist AND have at least 3 years' experience in Microbiology. Candidates appointed as Band 5 must obtain an IBMS Specialist Diploma in Microbiology within 36 months of registration with the HCPC • Good interpersonal and team working skills. • Good verbal and written communication skills. • Good IT skills including use of Microsoft office products; word, excel and outlook. • Ability to work systematically and under pressure in a busy environment. • Ability to work accurately with attention to detail. • Ability to accurately follow set protocols. • Awareness of Health and Safety and Data Protection requirements. • Awareness of the role and function of a Pathology Laboratory in diagnosis and treatment of disease. How to Apply: If you wish to apply or would like more information, please email your CV to If this opportunity isn't quite right for you but you are seeking a new role, we would still welcome your enquiry. Apple Recruitment Services is acting as an Employment Agency in relation to this vacancy. Apple Recruitment Services is an Equal Opportunities Employer
Mar 02, 2026
Full time
Job Title: Biomedical Scientist Location: Belfast Salary: £19.78 an hour Hours: 37.5 per week. Monday to Friday Specific Duties • Perform the basic laboratory work while corresponding to the training and qualifications of a Registered BMS and may be located in any of the laboratory areas within the Department. • Carry out appropriate procedures, including those requiring the exercise of independent judgement and initiative with minimal supervision. • Provide personal and direct supervision for trainees and other supportive personnel within the Belfast Trust Laboratories. • Assist in research projects, where necessary, and to be involved in the development of new procedures and techniques. • Recognise and accept safety regulations, guidelines and policy. • Demonstrate and maintain satisfactory progress in both the academic and the 'in-service' training programmes. • Carry out any other duties not specified above but which might be reasonably expected of a Biomedical Scientist Grade (pay band 5/ 6). • Trainees will follow and pass the course of training as laid down by the Health and care Professions Council (HCPC) leading to state registration. • Participate in a 24 hr service which will include extended working day, overnight, weekend and Public holidays work as part of the conditioned 37.5 hour week. • Participate in Continuous Professional Development in line with KSF and work towards gaining further knowledge through certificate level training and short courses. This will be done through Personal Contribution Plan & Annual Staff Development review. Essential Criteria The following are ESSENTIAL criteria which will initially be measured at shortlisting stage although may also be further explored during the interview/selection stage. You should therefore make it clear on your application form whether or not you meet these criteria. Failure to do so may result in you not being shortlisted. The stage in the process when the criteria will be measured is stated below. Must be registered with the Health & Care Professions Council (HCPC) as a Biomedical Scientist AND have completed IBMS Specialist Diploma (or equivalent) in Microbiology AND have at least 1 year's post HCPC registration experience in Microbiology. OR Have been employed as a Specialist Biomedical Scientist (Band 6) for 3 years, working in Microbiology. Applicant must have maintained HCPC registration and appear on the register. Qualifications/ Registration Must be registered with the HCPC as a Biomedical Scientist AND have at least 3 years' experience in Microbiology. Candidates appointed as Band 5 must obtain an IBMS Specialist Diploma in Microbiology within 36 months of registration with the HCPC • Good interpersonal and team working skills. • Good verbal and written communication skills. • Good IT skills including use of Microsoft office products; word, excel and outlook. • Ability to work systematically and under pressure in a busy environment. • Ability to work accurately with attention to detail. • Ability to accurately follow set protocols. • Awareness of Health and Safety and Data Protection requirements. • Awareness of the role and function of a Pathology Laboratory in diagnosis and treatment of disease. How to Apply: If you wish to apply or would like more information, please email your CV to If this opportunity isn't quite right for you but you are seeking a new role, we would still welcome your enquiry. Apple Recruitment Services is acting as an Employment Agency in relation to this vacancy. Apple Recruitment Services is an Equal Opportunities Employer
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? We're building a new function at Intercom: AI Product Management. For over a decade, Intercom has invested in in house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we're expanding this team with product managers who will define the future of Intercom's AI platform and AI agent. As a Senior AI Product Manager, you'll shape the vision, strategy, and roadmap for core AI systems that power Fin and Intercom's AI features. You'll work at the intersection of advanced AI research, cutting edge product development, and real customer problems, helping us build world class AI products that deliver meaningful business impact. This is a high ownership role for a technical, customer obsessed PM who thrives in fast moving, ambiguous environments and loves turning complex AI capabilities into simple, delightful product experiences. What will I be doing? Lead a major part of our AI product surface. You'll own an important area of Intercom's AI platform or AI agent and be accountable for its vision, strategy, and impact. Deeply understand customers, the business, and the technology. You'll learn the space inside out: what customers need, where the business is going, and how our AI systems work. You'll use this understanding to make high quality decisions and build a compelling roadmap. Work side by side with a world class AI team. You'll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you'll explore new ideas, assess feasibility, evaluate trade offs, and turn advanced AI capabilities into high value product experiences. Ship ambitious, high quality AI product. You'll take AI concepts from early exploration through to production launches. You'll run fast experiments, define success metrics, evaluate performance, and iterate until the experiences are both effective and delightful. Collaborate across the company. You'll work closely with our core product org to integrate AI across the Intercom platform, and partner with GTM, marketing, support, and operations to drive adoption and customer impact. Lead through clarity, ownership, and momentum. You'll bring teams together, communicate decisions clearly, create alignment, and consistently push toward impactful outcomes. What skills do I need? Strong AI and technical fluency. You've built or worked deeply with AI/ML products, ideally including generative AI. You can discuss model behaviour, evaluation, prompts, architectures, constraints, and trade offs with technical partners. You're comfortable working autonomously in complex technical spaces. Excellent product judgment. You balance customer needs, business goals, and technical realities. You know when to push for ambitious ideas and when to iterate quickly. You can turn new or ambiguous AI capabilities into clear, valuable product experiences. Sharp problem framing and customer insight. You can independently understand and articulate complex problems using research, data, and direct customer conversations. You translate complexity into crisp problem statements for your team. Ability to build world class product. You collaborate deeply with engineering and design to ship high quality software. You know how to test, measure, and iterate on AI systems and user facing AI features. You care deeply about safety, reliability, and delivering customer value. Strong communication and leadership. You influence widely, bring structure to ambiguity, and create momentum. You communicate clearly and frequently, keeping partners aligned and engaged. You take ownership and raise the bar for the team around you. Why you'll love it here You'll work with an experienced AI team that has been shipping AI long before it was mainstream. You'll have real autonomy, real impact, and real responsibility. You'll help build the next generation of customer service through the power of AI. You'll help shape the future of AI PM craft at Intercom. We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Mar 02, 2026
Full time
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? We're building a new function at Intercom: AI Product Management. For over a decade, Intercom has invested in in house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we're expanding this team with product managers who will define the future of Intercom's AI platform and AI agent. As a Senior AI Product Manager, you'll shape the vision, strategy, and roadmap for core AI systems that power Fin and Intercom's AI features. You'll work at the intersection of advanced AI research, cutting edge product development, and real customer problems, helping us build world class AI products that deliver meaningful business impact. This is a high ownership role for a technical, customer obsessed PM who thrives in fast moving, ambiguous environments and loves turning complex AI capabilities into simple, delightful product experiences. What will I be doing? Lead a major part of our AI product surface. You'll own an important area of Intercom's AI platform or AI agent and be accountable for its vision, strategy, and impact. Deeply understand customers, the business, and the technology. You'll learn the space inside out: what customers need, where the business is going, and how our AI systems work. You'll use this understanding to make high quality decisions and build a compelling roadmap. Work side by side with a world class AI team. You'll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you'll explore new ideas, assess feasibility, evaluate trade offs, and turn advanced AI capabilities into high value product experiences. Ship ambitious, high quality AI product. You'll take AI concepts from early exploration through to production launches. You'll run fast experiments, define success metrics, evaluate performance, and iterate until the experiences are both effective and delightful. Collaborate across the company. You'll work closely with our core product org to integrate AI across the Intercom platform, and partner with GTM, marketing, support, and operations to drive adoption and customer impact. Lead through clarity, ownership, and momentum. You'll bring teams together, communicate decisions clearly, create alignment, and consistently push toward impactful outcomes. What skills do I need? Strong AI and technical fluency. You've built or worked deeply with AI/ML products, ideally including generative AI. You can discuss model behaviour, evaluation, prompts, architectures, constraints, and trade offs with technical partners. You're comfortable working autonomously in complex technical spaces. Excellent product judgment. You balance customer needs, business goals, and technical realities. You know when to push for ambitious ideas and when to iterate quickly. You can turn new or ambiguous AI capabilities into clear, valuable product experiences. Sharp problem framing and customer insight. You can independently understand and articulate complex problems using research, data, and direct customer conversations. You translate complexity into crisp problem statements for your team. Ability to build world class product. You collaborate deeply with engineering and design to ship high quality software. You know how to test, measure, and iterate on AI systems and user facing AI features. You care deeply about safety, reliability, and delivering customer value. Strong communication and leadership. You influence widely, bring structure to ambiguity, and create momentum. You communicate clearly and frequently, keeping partners aligned and engaged. You take ownership and raise the bar for the team around you. Why you'll love it here You'll work with an experienced AI team that has been shipping AI long before it was mainstream. You'll have real autonomy, real impact, and real responsibility. You'll help build the next generation of customer service through the power of AI. You'll help shape the future of AI PM craft at Intercom. We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Life at UiPath The people at UiPath believes in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who is curious, self propelled, generous, and genuine. People who loves being part of a fast moving, fast thinking growth company. And people who cares-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission As a Principal Software Engineering Manager in the UiPath IXP organization, you will shape the technical direction of our intelligent document processing platform and the systems powering AI driven extraction at enterprise scale. You will also directly manage a team of engineers, combining hands on technical leadership with people management responsibility. You will provide technical leadership, architectural vision, and strategic ownership across multiple services - influencing how we design, build, and operate distributed AI systems globally. You will guide the evolution of backend services, real time pipelines, and platform infrastructure supporting specialized and generative AI models. A key part of this role is guiding the technical strategy for applied AI systems - helping the organization decide when to leverage external foundational models versus internally developed or self hosted models, balancing performance, cost, privacy, and long term platform differentiation. What you'll do at UiPath Technical Leadership & Vision Define and drive the long term architectural direction for core backend and platform systems supporting enterprise scale AI workloads. Identify systemic technical risks and opportunities, leading initiatives that improve scalability, reliability, and developer productivity across teams. Establish engineering standards, architectural principles, and best practices adopted across the organization. Partner with product and engineering leadership to translate business strategy into technical execution. AI Strategy & Applied Decision Making Collaborate with research teams to translate experimental models into reliable production systems. Drive architectural decisions around hybrid AI systems combining deterministic logic, classical ML, and generative AI. Define patterns for safe, observable, and scalable model deployment and inference. Ensure AI platform evolution aligns with enterprise customer expectations around security, privacy, and reliability. People Management Directly manage 5-10 engineers, owning their career development, performance reviews, goal setting, and day to day coaching. Foster a high performing, inclusive team culture grounded in psychological safety and engineering excellence. Drive hiring, onboarding, and retention for your team; participate in calibration and compensation planning. Remove blockers, balance workload, and ensure team health alongside delivery commitments. What you'll bring to the team 7+ years designing and operating large scale distributed commercial systems. 2+ years of experience directly managing software engineers, including performance management, career development, and team building. Demonstrated impact beyond a single team, influencing architecture or engineering direction across multiple groups. Deep expertise in backend systems, distributed architectures, concurrency, and performance optimization. Strong experience with cloud ecosystems (Azure, AWS, or GCP) and container orchestration (Docker, Kubernetes, Helm). Proficiency in Python or comparable backend languages; Rust or other systems languages a strong plus. Experience with distributed databases and data platforms (e.g., PostgreSQL, CockroachDB, Elasticsearch). Strong architectural judgment and ability to evaluate trade offs across scale, complexity, and delivery timelines. Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences and coach engineers at varying levels of seniority. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neuro diversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
Mar 02, 2026
Full time
Life at UiPath The people at UiPath believes in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who is curious, self propelled, generous, and genuine. People who loves being part of a fast moving, fast thinking growth company. And people who cares-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission As a Principal Software Engineering Manager in the UiPath IXP organization, you will shape the technical direction of our intelligent document processing platform and the systems powering AI driven extraction at enterprise scale. You will also directly manage a team of engineers, combining hands on technical leadership with people management responsibility. You will provide technical leadership, architectural vision, and strategic ownership across multiple services - influencing how we design, build, and operate distributed AI systems globally. You will guide the evolution of backend services, real time pipelines, and platform infrastructure supporting specialized and generative AI models. A key part of this role is guiding the technical strategy for applied AI systems - helping the organization decide when to leverage external foundational models versus internally developed or self hosted models, balancing performance, cost, privacy, and long term platform differentiation. What you'll do at UiPath Technical Leadership & Vision Define and drive the long term architectural direction for core backend and platform systems supporting enterprise scale AI workloads. Identify systemic technical risks and opportunities, leading initiatives that improve scalability, reliability, and developer productivity across teams. Establish engineering standards, architectural principles, and best practices adopted across the organization. Partner with product and engineering leadership to translate business strategy into technical execution. AI Strategy & Applied Decision Making Collaborate with research teams to translate experimental models into reliable production systems. Drive architectural decisions around hybrid AI systems combining deterministic logic, classical ML, and generative AI. Define patterns for safe, observable, and scalable model deployment and inference. Ensure AI platform evolution aligns with enterprise customer expectations around security, privacy, and reliability. People Management Directly manage 5-10 engineers, owning their career development, performance reviews, goal setting, and day to day coaching. Foster a high performing, inclusive team culture grounded in psychological safety and engineering excellence. Drive hiring, onboarding, and retention for your team; participate in calibration and compensation planning. Remove blockers, balance workload, and ensure team health alongside delivery commitments. What you'll bring to the team 7+ years designing and operating large scale distributed commercial systems. 2+ years of experience directly managing software engineers, including performance management, career development, and team building. Demonstrated impact beyond a single team, influencing architecture or engineering direction across multiple groups. Deep expertise in backend systems, distributed architectures, concurrency, and performance optimization. Strong experience with cloud ecosystems (Azure, AWS, or GCP) and container orchestration (Docker, Kubernetes, Helm). Proficiency in Python or comparable backend languages; Rust or other systems languages a strong plus. Experience with distributed databases and data platforms (e.g., PostgreSQL, CockroachDB, Elasticsearch). Strong architectural judgment and ability to evaluate trade offs across scale, complexity, and delivery timelines. Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences and coach engineers at varying levels of seniority. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neuro diversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
About DropCode DropCode is building the data engine for protein function. Starting with enzymes, we use our patented droplet microfluidics platform to capture exponentially more data on protein function than conventional methods, linking genotype to phenotype at per-droplet resolution, making every droplet a micro test tube. This data fuels machine learning models that learn in ever greater detail how sequence determines function. Our wedge is enzyme engineering for biocatalysis and industrial biotechnology, but our ambition is to make DropCode the definitive platform for protein function prediction. We are Cambridge PhDs with deep expertise across microfluidics, biochemistry, machine learning, optics, and engineering. We believe the language of biology is machine learning, and that the fastest path to transformative models is not just better AI, it is better inputs. The Role We are looking for an exceptional computational scientist to lead our machine learning and protein modelling efforts. You will own the sequence-function modelling stack end to end: from processing large-scale functional datasets generated in our microfluidic runs, to training and deploying generative and predictive models that drive the next round of experiments. You will work in a tight loop with the biology and engineering teams, turning quantitative phenotypic data into closed-loop active learning systems that continuously improve our models. This is a foundational role. You will be building the ML infrastructure from the ground up, and your architectural choices will shape DropCode for years. What You'll Do Design and train sequence-function models on deep mutational scanning datasets and high-throughput screening outputs from our microfluidics platform Develop and iterate generative models (transformers, diffusion models, or equivalent) for enzyme sequence design and optimisation Build closed-loop active learning pipelines that couple ML predictions with experimental design, shortening the design-build-test-learn cycle Model protein fitness landscapes, including epistatic interactions, to navigate high-dimensional sequence space intelligently Partner with the biology team to define the data collection strategy and ensure experimental outputs are ML-ready Establish best practices for model evaluation, benchmarking, and uncertainty quantification in the context of functional prediction Own and grow the computational stack as the team scales What We're Looking For Demonstrated contribution to a meaningful breakthrough in protein design or sequence-function modelling Proven hands on experience with protein language models or generative models applied to biological sequences Deep familiarity with deep mutational scanning, large-scale functional datasets, or comparable high-throughput data modalities Strong understanding of fitness landscape theory and epistasis in the context of sequence optimisation Experience building active learning or Bayesian optimisation systems that integrate ML with experimental feedback Excitement at the prospect of working with large volumes of proprietary, quantitative functional data unavailable anywhere else Comfortable operating in the ambiguity of early stage R&D and motivated by the challenge of building foundational infrastructure PhD in machine learning, computational biology, biophysics, or a related field (or equivalent depth of experience) Who You Are You are frustrated by the slow, artisanal nature of current biological engineering and believe the field needs a step change in data scale and quality. You think quantitatively, treat every experiment as a data point for a model, and have strong opinions about what it takes to build the best protein design systems in the world. You thrive in collaborative, fast moving environments where the pace is set by scientific urgency, not process.
Mar 02, 2026
Full time
About DropCode DropCode is building the data engine for protein function. Starting with enzymes, we use our patented droplet microfluidics platform to capture exponentially more data on protein function than conventional methods, linking genotype to phenotype at per-droplet resolution, making every droplet a micro test tube. This data fuels machine learning models that learn in ever greater detail how sequence determines function. Our wedge is enzyme engineering for biocatalysis and industrial biotechnology, but our ambition is to make DropCode the definitive platform for protein function prediction. We are Cambridge PhDs with deep expertise across microfluidics, biochemistry, machine learning, optics, and engineering. We believe the language of biology is machine learning, and that the fastest path to transformative models is not just better AI, it is better inputs. The Role We are looking for an exceptional computational scientist to lead our machine learning and protein modelling efforts. You will own the sequence-function modelling stack end to end: from processing large-scale functional datasets generated in our microfluidic runs, to training and deploying generative and predictive models that drive the next round of experiments. You will work in a tight loop with the biology and engineering teams, turning quantitative phenotypic data into closed-loop active learning systems that continuously improve our models. This is a foundational role. You will be building the ML infrastructure from the ground up, and your architectural choices will shape DropCode for years. What You'll Do Design and train sequence-function models on deep mutational scanning datasets and high-throughput screening outputs from our microfluidics platform Develop and iterate generative models (transformers, diffusion models, or equivalent) for enzyme sequence design and optimisation Build closed-loop active learning pipelines that couple ML predictions with experimental design, shortening the design-build-test-learn cycle Model protein fitness landscapes, including epistatic interactions, to navigate high-dimensional sequence space intelligently Partner with the biology team to define the data collection strategy and ensure experimental outputs are ML-ready Establish best practices for model evaluation, benchmarking, and uncertainty quantification in the context of functional prediction Own and grow the computational stack as the team scales What We're Looking For Demonstrated contribution to a meaningful breakthrough in protein design or sequence-function modelling Proven hands on experience with protein language models or generative models applied to biological sequences Deep familiarity with deep mutational scanning, large-scale functional datasets, or comparable high-throughput data modalities Strong understanding of fitness landscape theory and epistasis in the context of sequence optimisation Experience building active learning or Bayesian optimisation systems that integrate ML with experimental feedback Excitement at the prospect of working with large volumes of proprietary, quantitative functional data unavailable anywhere else Comfortable operating in the ambiguity of early stage R&D and motivated by the challenge of building foundational infrastructure PhD in machine learning, computational biology, biophysics, or a related field (or equivalent depth of experience) Who You Are You are frustrated by the slow, artisanal nature of current biological engineering and believe the field needs a step change in data scale and quality. You think quantitatively, treat every experiment as a data point for a model, and have strong opinions about what it takes to build the best protein design systems in the world. You thrive in collaborative, fast moving environments where the pace is set by scientific urgency, not process.
Senior Research Scientist - Recruiting on Behalf of TKMS ATLAS UK Morson is proud to be recruiting on behalf of TKMS ATLAS UK for a Senior Scientific Research professional to join their Research and Innovation Division in Dorset. This role requires the successful candidate to hold DV clearance (or be eligible to obtain it) and to work onsite 4 days per week. Qualifications and Skills Degree or PhD in physics, mathematics, or a related discipline, supported by relevant experience. Candidates with engineering backgrounds are welcome where research has been a key focus. Excellent communication skills, including delivering presentations. Excellent written skills, particularly in preparing bids and technical reports. Strong team-working abilities. Knowledge and Experience Must be able to obtain a DV Clearance. (These can be developed in the role if not already held.) Applicants should demonstrate a successful track record in developing technical solutions and planning, coordinating, and delivering research programmes. The ideal candidate will have experience in at least one of the following domains and be capable of leading research projects that span multiple areas: Signal processing, image analysis, automated detection processing Statistical modelling, data science, machine learning, AI, data visualisation Modelling signatures of naval platforms Naval platform design Numerical simulation of complex phenomena and computational fluid dynamics Remote sensing and numerical simulation of ocean processes Laboratory experimentation Technical leadership of projects, including leading small research teams and ensuring delivery to time, cost, and quality Use of scientific computational software such as MATLAB or Python Purpose of the Role To support bidding activities, develop technical strategies and solutions, and lead the technical delivery of assigned projects to time, cost, and quality. The role also includes identifying opportunities for capability development and exploiting research into products. Challenges of the Role Collaborating with specialists across a wide range of disciplines Working with stakeholders across the business to support the development and delivery of customer solutions Communicating technical findings and concepts to expert and non-expert stakeholders within TKMS ATLAS UK and the customer community Synthesising technical analysis outputs to provide clear, coherent advice for stakeholders and key decision-makers Providing technical leadership on multidisciplinary research projects Supporting the professional development of junior team members Effective time management This is an onsite role based in Dorset. If you are interested in this opportunity, please submit your CV to . JBRP1_UKTJ
Mar 02, 2026
Full time
Senior Research Scientist - Recruiting on Behalf of TKMS ATLAS UK Morson is proud to be recruiting on behalf of TKMS ATLAS UK for a Senior Scientific Research professional to join their Research and Innovation Division in Dorset. This role requires the successful candidate to hold DV clearance (or be eligible to obtain it) and to work onsite 4 days per week. Qualifications and Skills Degree or PhD in physics, mathematics, or a related discipline, supported by relevant experience. Candidates with engineering backgrounds are welcome where research has been a key focus. Excellent communication skills, including delivering presentations. Excellent written skills, particularly in preparing bids and technical reports. Strong team-working abilities. Knowledge and Experience Must be able to obtain a DV Clearance. (These can be developed in the role if not already held.) Applicants should demonstrate a successful track record in developing technical solutions and planning, coordinating, and delivering research programmes. The ideal candidate will have experience in at least one of the following domains and be capable of leading research projects that span multiple areas: Signal processing, image analysis, automated detection processing Statistical modelling, data science, machine learning, AI, data visualisation Modelling signatures of naval platforms Naval platform design Numerical simulation of complex phenomena and computational fluid dynamics Remote sensing and numerical simulation of ocean processes Laboratory experimentation Technical leadership of projects, including leading small research teams and ensuring delivery to time, cost, and quality Use of scientific computational software such as MATLAB or Python Purpose of the Role To support bidding activities, develop technical strategies and solutions, and lead the technical delivery of assigned projects to time, cost, and quality. The role also includes identifying opportunities for capability development and exploiting research into products. Challenges of the Role Collaborating with specialists across a wide range of disciplines Working with stakeholders across the business to support the development and delivery of customer solutions Communicating technical findings and concepts to expert and non-expert stakeholders within TKMS ATLAS UK and the customer community Synthesising technical analysis outputs to provide clear, coherent advice for stakeholders and key decision-makers Providing technical leadership on multidisciplinary research projects Supporting the professional development of junior team members Effective time management This is an onsite role based in Dorset. If you are interested in this opportunity, please submit your CV to . JBRP1_UKTJ
Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Senior Data Scientist & Machine Learning Researcher Location Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Duration Permanent Hours Fulltime 37 hrs Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Problem solve with autonomy. Be a self-starter, being pro-active in finding solutions. Experience of mentoring other team members and undertaking technical leadership on small projects or sub-parts of larger deliveries. Desirable PhD. or Masters degree highlighting experience of academic research. Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker). Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience of deploying AI models in a scalable way for external users. Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Comfortable following agile processes for project delivery. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Experience of writing technical project proposals. Responsibilities Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance. Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines. Undertake research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership in small project groups. Generate ideas for new research directions. Advise on suitability of group research ideas based on previous experience. Mentor more junior team members within their project team and the wider SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team and to senior stakeholders with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits Competitive salaries. 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Car / Car allowance (dependant on grade/ role) Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year. RTX Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over £2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We're investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Tagged as: Industry, Language Modeling, Machine Learning, NLP, United Kingdom
Mar 02, 2026
Full time
Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Senior Data Scientist & Machine Learning Researcher Location Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Duration Permanent Hours Fulltime 37 hrs Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Problem solve with autonomy. Be a self-starter, being pro-active in finding solutions. Experience of mentoring other team members and undertaking technical leadership on small projects or sub-parts of larger deliveries. Desirable PhD. or Masters degree highlighting experience of academic research. Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker). Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience of deploying AI models in a scalable way for external users. Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Comfortable following agile processes for project delivery. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Experience of writing technical project proposals. Responsibilities Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance. Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines. Undertake research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership in small project groups. Generate ideas for new research directions. Advise on suitability of group research ideas based on previous experience. Mentor more junior team members within their project team and the wider SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team and to senior stakeholders with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits Competitive salaries. 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Car / Car allowance (dependant on grade/ role) Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year. RTX Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over £2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We're investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Tagged as: Industry, Language Modeling, Machine Learning, NLP, United Kingdom
Get started with your online application Not quite your dream role? Sign up to get notified when the right vacancy comes along. Data Science Manager Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Data Science organisation sits at the heart of Deliveroo, powering decision making across product, commercial and operational teams through experimentation, causal inference and machine learning. We're hiring multiple Data Science Managers across different areas of the business. Rather than hiring for one fixed team, we use the interview process to understand your strengths, interests and development areas, and then align you to the right scope, level and team. What You'll Be Doing You'll own the analytical direction and measurable impact of a product or business area, while leading and developing a high performing team of data scientists or machine learning engineers. Depending on the area you join, you could be: Building experimentation and causal inference frameworks to improve customer retention, loyalty and subscription growth Leading pricing, promotions or value strategy, balancing growth, profitability and long term customer trust Developing machine learning or optimisation models for delivery logistics, rider pricing or marketplace efficiency Improving discovery, search or personalisation through rapid iteration on high impact algorithms Driving customer acquisition and engagement across restaurants, retail or new verticals using data led targeting and incentives Across all roles, you'll remain hands on while managing a team. You'll decide which problems are worth solving and ensure data science work translates into better product and commercial decisions, not just analysis. You'll partner with Product, Engineering, Ops, Marketing and Finance as a thought partner, and set the bar for analytical rigour, prioritisation and impact across noisy metrics, real trade offs and strong stakeholder opinions. What You'll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Experience line managing data scientists or machine learning engineers and supporting their career development A strong background as a senior individual contributor, with hands on experience in experimentation, causal inference or applied machine learning Proven ability to identify high impact opportunities and turn insights into clear strategy and execution Confidence working with senior stakeholders and explaining complex technical concepts to non technical audiences Comfort operating in fast moving, ambiguous environments where prioritisation and judgement matter as much as technical skill Why Join Us? At Deliveroo, you'll work on real world problems at global scale, across a three sided marketplace that is constantly evolving. We're food lovers, problem solvers, community organisers and more, united by a shared drive to make things better. Working here, you can expect: High autonomy to shape strategy and deliver meaningful impact Support to learn and grow through L&D programmes, mentoring and peer learning A strong focus on wellbeing, with benefits that vary by country A place to belong, with a diverse global workforce and active employee communities Diversity, Equity and Inclusion At Deliveroo, we believe great workplaces reflect the world around us. We welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion or belief. If you require adjustments at any stage of the application or interview process, please let us know. We're committed to ensuring everyone has an equitable opportunity to succeed. Ready to own impact and shape how decisions are made at Deliveroo? Apply today. A competitive and comprehensive compensation and benefits package Compensation We aim to pay every employee competitively for the role they are performing in their respective location Depending on role and location, some employees may be eligible for an annual cash bonus, sign on bonus or relocation support Up to 5% matched pension contributions Equity Some roles may be eligible for share awards, giving them ownership in Deliveroo and a share in our success Food Free Deliveroo Plus: free delivery and access to special offers Team lunches from the best local restaurants Time away 25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo One day of paid leave per year to volunteer with a registered charity Funded single cover healthcare on our core plan, with the option to add family members at own cost On site gym (HQ), discounted external gym membership Access to wellbeing apps such as LesMills+, Strava, Headspace, Yogaia via GymPass Discounted dental insurance and a range of other flexible benefits, such as critical illness cover, partner life cover, travel insurance, health assessments Life assurance Work Life Maternity, paternity and maternity and shared parental leave, eligible from day one of employment Excellent kit to enable working from home and a parent friendly working culture Access to free mortgage advice Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high quality training and content Regular Employee Resource Group (ERG) led social events - examples include dinners, dance lessons and in office yoga sessions
Mar 02, 2026
Full time
Get started with your online application Not quite your dream role? Sign up to get notified when the right vacancy comes along. Data Science Manager Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Data Science organisation sits at the heart of Deliveroo, powering decision making across product, commercial and operational teams through experimentation, causal inference and machine learning. We're hiring multiple Data Science Managers across different areas of the business. Rather than hiring for one fixed team, we use the interview process to understand your strengths, interests and development areas, and then align you to the right scope, level and team. What You'll Be Doing You'll own the analytical direction and measurable impact of a product or business area, while leading and developing a high performing team of data scientists or machine learning engineers. Depending on the area you join, you could be: Building experimentation and causal inference frameworks to improve customer retention, loyalty and subscription growth Leading pricing, promotions or value strategy, balancing growth, profitability and long term customer trust Developing machine learning or optimisation models for delivery logistics, rider pricing or marketplace efficiency Improving discovery, search or personalisation through rapid iteration on high impact algorithms Driving customer acquisition and engagement across restaurants, retail or new verticals using data led targeting and incentives Across all roles, you'll remain hands on while managing a team. You'll decide which problems are worth solving and ensure data science work translates into better product and commercial decisions, not just analysis. You'll partner with Product, Engineering, Ops, Marketing and Finance as a thought partner, and set the bar for analytical rigour, prioritisation and impact across noisy metrics, real trade offs and strong stakeholder opinions. What You'll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Experience line managing data scientists or machine learning engineers and supporting their career development A strong background as a senior individual contributor, with hands on experience in experimentation, causal inference or applied machine learning Proven ability to identify high impact opportunities and turn insights into clear strategy and execution Confidence working with senior stakeholders and explaining complex technical concepts to non technical audiences Comfort operating in fast moving, ambiguous environments where prioritisation and judgement matter as much as technical skill Why Join Us? At Deliveroo, you'll work on real world problems at global scale, across a three sided marketplace that is constantly evolving. We're food lovers, problem solvers, community organisers and more, united by a shared drive to make things better. Working here, you can expect: High autonomy to shape strategy and deliver meaningful impact Support to learn and grow through L&D programmes, mentoring and peer learning A strong focus on wellbeing, with benefits that vary by country A place to belong, with a diverse global workforce and active employee communities Diversity, Equity and Inclusion At Deliveroo, we believe great workplaces reflect the world around us. We welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion or belief. If you require adjustments at any stage of the application or interview process, please let us know. We're committed to ensuring everyone has an equitable opportunity to succeed. Ready to own impact and shape how decisions are made at Deliveroo? Apply today. A competitive and comprehensive compensation and benefits package Compensation We aim to pay every employee competitively for the role they are performing in their respective location Depending on role and location, some employees may be eligible for an annual cash bonus, sign on bonus or relocation support Up to 5% matched pension contributions Equity Some roles may be eligible for share awards, giving them ownership in Deliveroo and a share in our success Food Free Deliveroo Plus: free delivery and access to special offers Team lunches from the best local restaurants Time away 25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo One day of paid leave per year to volunteer with a registered charity Funded single cover healthcare on our core plan, with the option to add family members at own cost On site gym (HQ), discounted external gym membership Access to wellbeing apps such as LesMills+, Strava, Headspace, Yogaia via GymPass Discounted dental insurance and a range of other flexible benefits, such as critical illness cover, partner life cover, travel insurance, health assessments Life assurance Work Life Maternity, paternity and maternity and shared parental leave, eligible from day one of employment Excellent kit to enable working from home and a parent friendly working culture Access to free mortgage advice Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high quality training and content Regular Employee Resource Group (ERG) led social events - examples include dinners, dance lessons and in office yoga sessions
A leading food delivery service in Greater London seeks a Data Science Manager to oversee analytical directions and lead high-performing data science teams. Candidates should have strong expertise in line managing data scientists, be hands-on with experimentation and able to work closely with senior stakeholders. This role emphasizes driving impactful data-led decisions in a fast-paced environment. The company offers competitive compensation and a supportive workplace culture focused on learning and development.
Mar 02, 2026
Full time
A leading food delivery service in Greater London seeks a Data Science Manager to oversee analytical directions and lead high-performing data science teams. Candidates should have strong expertise in line managing data scientists, be hands-on with experimentation and able to work closely with senior stakeholders. This role emphasizes driving impactful data-led decisions in a fast-paced environment. The company offers competitive compensation and a supportive workplace culture focused on learning and development.
Entity: Technology Job Family Group: IT&S Group Job Description: Our purpose is to bring together people, energy and markets to power and navigate a changing world. In a time of constant change and possibility we need new talent to pursue commercial opportunities, fuelled by world-class insight and expertise. Were always striving for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond, and you could be part of that too. About the Role: We are looking for a Senior Data Scientist to work on some of the important challenges bp is facing today. We work on a number of interesting problem spaces from the traditional oil and gas business through to renewables and our net-zero agenda, leveraging tools ranging from computer vision to timeseries forecasting. Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world! All without compromising our operational risk management. Working with us, you can do this by: Deploying our integrated capability and standards in service of our net zero and safety ambitions Driving our digital transformation and pioneering new business models Collaborating to deliver competitive customer-focused energy solutions. Originating, scaling and commercializing innovative ideas, and creating ground-breaking new businesses from them Protecting us by assuring management of our greatest physical and digital risks Because together we are: Originators, builders, guardians and disruptors Engineers, technologists, scientists and entrepreneurs Empathetic, curious, creative and inclusive Key Accountabilities: Part of a cross-disciplinary team, working closely with other data scientists, data engineers software engineers, data managers and business partners. Build scalable, re-usable, impactful products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carry out data analyses to yield actionable business insights. Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). Present results to peers and senior management. Actively contribute to improve developer velocity. Mentor others. Essential Experience & Qualifications: Hands-on experience designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) AdvancedSQL knowledge. Experience with data technologies (e.g. Hadoop, Hive, and Spark) is a plus. Knowledge of experimental design and analysis is a plus. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong partner management and ability to lead large organizations through influence. Continuous learning and improvement attitude. MSc or PhD degree in a quantitative field. No prior experience in the energy industry required. Why Join Us? At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others. We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees lives that are significant, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and others benefits. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability with an accessibility need may request an adjustment/accommodation related to bps recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process,pleasecontact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. JBRP1_UKTJ
Mar 02, 2026
Full time
Entity: Technology Job Family Group: IT&S Group Job Description: Our purpose is to bring together people, energy and markets to power and navigate a changing world. In a time of constant change and possibility we need new talent to pursue commercial opportunities, fuelled by world-class insight and expertise. Were always striving for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond, and you could be part of that too. About the Role: We are looking for a Senior Data Scientist to work on some of the important challenges bp is facing today. We work on a number of interesting problem spaces from the traditional oil and gas business through to renewables and our net-zero agenda, leveraging tools ranging from computer vision to timeseries forecasting. Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world! All without compromising our operational risk management. Working with us, you can do this by: Deploying our integrated capability and standards in service of our net zero and safety ambitions Driving our digital transformation and pioneering new business models Collaborating to deliver competitive customer-focused energy solutions. Originating, scaling and commercializing innovative ideas, and creating ground-breaking new businesses from them Protecting us by assuring management of our greatest physical and digital risks Because together we are: Originators, builders, guardians and disruptors Engineers, technologists, scientists and entrepreneurs Empathetic, curious, creative and inclusive Key Accountabilities: Part of a cross-disciplinary team, working closely with other data scientists, data engineers software engineers, data managers and business partners. Build scalable, re-usable, impactful products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carry out data analyses to yield actionable business insights. Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). Present results to peers and senior management. Actively contribute to improve developer velocity. Mentor others. Essential Experience & Qualifications: Hands-on experience designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) AdvancedSQL knowledge. Experience with data technologies (e.g. Hadoop, Hive, and Spark) is a plus. Knowledge of experimental design and analysis is a plus. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong partner management and ability to lead large organizations through influence. Continuous learning and improvement attitude. MSc or PhD degree in a quantitative field. No prior experience in the energy industry required. Why Join Us? At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others. We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees lives that are significant, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and others benefits. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability with an accessibility need may request an adjustment/accommodation related to bps recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process,pleasecontact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. JBRP1_UKTJ
Cambridge University Press
Cambridge, Cambridgeshire
Job Title: Principal Data Scientist Salary: £74,200 - £99,250 Location: Cambridge/Hybrid with 2 day per week at the office Contract: Permanent Hours: Full time 35 hours per week Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist, you will play a pivotal role at the heart of this transformation - leading our data science capability for AI-enabled assessment products used by millions of learners globally. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. This is a senior, influential role where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions. About the Role As Principal Data Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC's data capability across Exam Technology and the wider organisation. Set the direction for data science and analytics supporting automarking and AI-driven assessment Lead and grow a small, high-impact team of data scientists and engineers Curate high-quality data products used across research, machine learning and product teams Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight Ensure sensitive exam and candidate data is handled responsibly and ethically Additional responsibilities and accountabilities Lead data science, data engineering and analytics activities within ARC Define and own the data strategy for automarking and related AI capabilities Design and oversee data warehouses, pipelines and integrations with the wider organisation Translate complex business and research needs into robust data solutions Provide expert input into product, research and architectural decisions, up to board level Build strong relationships with internal teams and external research partners Champion best practice in data quality, DataOps and analytics engineering This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition. About You Extensive experience in data science, analytics or analytics engineering in a complex environment Advanced SQL skills, including writing, analysing and optimising large analytical queries Strong experience with a data science programming language such as Python, R or Julia Hands on experience with data transformation tools such as dbt, Dataform or SQLMesh Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI A strong understanding of data warehousing principles (e.g. Kimball methodology) Experience designing data models that enable self service analytics Proven ability to translate business or research questions into data driven insights Experience communicating complex technical concepts to non technical and senior audiences Leadership experience, including mentoring and guiding other data professionals If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria: Machine learning or AI product experience Exposure to automarking, assessment, or high stakes data environments Skills in experimentation and statistical analysis (A/B testing, forecasting) Familiarity with DataOps (CI/CD, testing, orchestration, observability) For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for. Rewards and Benefits We will support you to be at your best in work and to life well outside of it. In addition to competitive salaries, we offer a world class, flexible rewards package, featuring family friendly and planet friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 13th March. We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes. Application Process At application stage: four technical questions to answer when submitting your CV. Stage 1: 30 minute screening call with the hiring manager. Stage 2: 60 minute session includes questions about key skills as well as a code review or whiteboard exercise. Stage 3: 90 minute system design exercise with an assignment provided at least three days before the interview. During the interview is where the designs are explained and discussed. Stage 4: Leadership and cultural 45 minute interview. If you require any reasonable adjustments during the recruitment process due to a disability or a long term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter. Why join us Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.
Mar 02, 2026
Full time
Job Title: Principal Data Scientist Salary: £74,200 - £99,250 Location: Cambridge/Hybrid with 2 day per week at the office Contract: Permanent Hours: Full time 35 hours per week Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist, you will play a pivotal role at the heart of this transformation - leading our data science capability for AI-enabled assessment products used by millions of learners globally. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. This is a senior, influential role where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions. About the Role As Principal Data Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC's data capability across Exam Technology and the wider organisation. Set the direction for data science and analytics supporting automarking and AI-driven assessment Lead and grow a small, high-impact team of data scientists and engineers Curate high-quality data products used across research, machine learning and product teams Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight Ensure sensitive exam and candidate data is handled responsibly and ethically Additional responsibilities and accountabilities Lead data science, data engineering and analytics activities within ARC Define and own the data strategy for automarking and related AI capabilities Design and oversee data warehouses, pipelines and integrations with the wider organisation Translate complex business and research needs into robust data solutions Provide expert input into product, research and architectural decisions, up to board level Build strong relationships with internal teams and external research partners Champion best practice in data quality, DataOps and analytics engineering This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition. About You Extensive experience in data science, analytics or analytics engineering in a complex environment Advanced SQL skills, including writing, analysing and optimising large analytical queries Strong experience with a data science programming language such as Python, R or Julia Hands on experience with data transformation tools such as dbt, Dataform or SQLMesh Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI A strong understanding of data warehousing principles (e.g. Kimball methodology) Experience designing data models that enable self service analytics Proven ability to translate business or research questions into data driven insights Experience communicating complex technical concepts to non technical and senior audiences Leadership experience, including mentoring and guiding other data professionals If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria: Machine learning or AI product experience Exposure to automarking, assessment, or high stakes data environments Skills in experimentation and statistical analysis (A/B testing, forecasting) Familiarity with DataOps (CI/CD, testing, orchestration, observability) For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for. Rewards and Benefits We will support you to be at your best in work and to life well outside of it. In addition to competitive salaries, we offer a world class, flexible rewards package, featuring family friendly and planet friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 13th March. We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes. Application Process At application stage: four technical questions to answer when submitting your CV. Stage 1: 30 minute screening call with the hiring manager. Stage 2: 60 minute session includes questions about key skills as well as a code review or whiteboard exercise. Stage 3: 90 minute system design exercise with an assignment provided at least three days before the interview. During the interview is where the designs are explained and discussed. Stage 4: Leadership and cultural 45 minute interview. If you require any reasonable adjustments during the recruitment process due to a disability or a long term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter. Why join us Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.
About Unique Through sharing knowledge and lived experience, Unique helps families and professionals navigate the world of chromosome and gene disorders. Unique is a charity that provides accurate and accessible information to empower those looking for answers. Alongside this, we act as a facilitator, helping people connect with each other to share their experiences of rare gene and chromosome disorders. We work with anyone who has been affected by, or wants to know more about, rare chromosome or gene disorders - whether that s an individual, a family, a carer, a doctor or a scientist. We believe that by working together, we can find new ways to support and celebrate people living truly unique lives. Unique has over 30,000 members (individuals, families and professionals) globally, but our office is based in Oxted, Surrey, UK. The Role This role will develop, support and manage a network of volunteers across England to help build both virtual and local communities for families affected by rare chromosome and gene disorders. This role will lead on the recruitment, training and ongoing support of volunteers from the Unique membership to ensure they feel confident, connected and valued in their roles. Working closely with the Engagement and Communications Officer, the postholder will also help plan and run a programme of virtual events and online activities tailored to the needs of our members and encouraging supportive peer relationships between them. The ideal candidate will be a strong communicator with experience of volunteer management and community engagement. You ll enjoy building relationships, empowering others, and creating opportunities for people to connect and support one another. This is a hybrid role which includes occasional working in our Oxted office to build relationships with our small, friendly team, as well as time spent on the ground with volunteers in different regions. The role will involve regular travel across England, with occasional weekend and evening work (for which time off in lieu will be provided). We are committed to inclusion, equality and diversity and welcome applicants from all parts of the community. Key Responsibilities • Develop and deliver Unique s volunteer strategy, ensuring volunteers are effectively supported and engaged • Recruit, train and induct new volunteers, and develop resources, training materials and recognition schemes for volunteers • Provide regular communication, guidance and supervision to volunteers, ensuring their wellbeing and satisfaction • Build a strong sense of community through a programme of face to face and virtual meet-ups and workshops • Work in partnership with volunteers and members to creatively use online communication channels to promote community connections • Maintain up-to-date volunteer records and ensure compliance with safeguarding, data protection and health & safety policies • Coordinate and support volunteer involvement at family events, conferences, webinars and local meet-ups • Work collaboratively with the staff team to promote volunteering opportunities and celebrate volunteer contributions • Monitor and report on volunteer engagement, diversity and impact Person Specification Qualifications Educated to degree level or equivalent experience Essential qualities, skills and experience Experience of recruiting, training and supporting volunteers Experience of working in community engagement or outreach Excellent interpersonal and communication skills, both written and oral Strong organisational skills with the ability to manage multiple priorities Empathy and understanding of the challenges faced by families affected by health or disability issues Ability to work both independently and as part of a team A flexible, can-do attitude and creative approach to problem solving Proficient in Microsoft Office and comfortable using online collaboration tools and databases A commitment to the aims and values of Unique Desirable qualities, skills and experience Experience working in the charity or health/disability sector Experience of online community management or peer support programmes Knowledge of safeguarding principles and best practice in volunteer management Additional requirements Willing to travel regularly across England Availability to work occasional evenings and weekends A DBS check will be required prior to appointment
Mar 02, 2026
Full time
About Unique Through sharing knowledge and lived experience, Unique helps families and professionals navigate the world of chromosome and gene disorders. Unique is a charity that provides accurate and accessible information to empower those looking for answers. Alongside this, we act as a facilitator, helping people connect with each other to share their experiences of rare gene and chromosome disorders. We work with anyone who has been affected by, or wants to know more about, rare chromosome or gene disorders - whether that s an individual, a family, a carer, a doctor or a scientist. We believe that by working together, we can find new ways to support and celebrate people living truly unique lives. Unique has over 30,000 members (individuals, families and professionals) globally, but our office is based in Oxted, Surrey, UK. The Role This role will develop, support and manage a network of volunteers across England to help build both virtual and local communities for families affected by rare chromosome and gene disorders. This role will lead on the recruitment, training and ongoing support of volunteers from the Unique membership to ensure they feel confident, connected and valued in their roles. Working closely with the Engagement and Communications Officer, the postholder will also help plan and run a programme of virtual events and online activities tailored to the needs of our members and encouraging supportive peer relationships between them. The ideal candidate will be a strong communicator with experience of volunteer management and community engagement. You ll enjoy building relationships, empowering others, and creating opportunities for people to connect and support one another. This is a hybrid role which includes occasional working in our Oxted office to build relationships with our small, friendly team, as well as time spent on the ground with volunteers in different regions. The role will involve regular travel across England, with occasional weekend and evening work (for which time off in lieu will be provided). We are committed to inclusion, equality and diversity and welcome applicants from all parts of the community. Key Responsibilities • Develop and deliver Unique s volunteer strategy, ensuring volunteers are effectively supported and engaged • Recruit, train and induct new volunteers, and develop resources, training materials and recognition schemes for volunteers • Provide regular communication, guidance and supervision to volunteers, ensuring their wellbeing and satisfaction • Build a strong sense of community through a programme of face to face and virtual meet-ups and workshops • Work in partnership with volunteers and members to creatively use online communication channels to promote community connections • Maintain up-to-date volunteer records and ensure compliance with safeguarding, data protection and health & safety policies • Coordinate and support volunteer involvement at family events, conferences, webinars and local meet-ups • Work collaboratively with the staff team to promote volunteering opportunities and celebrate volunteer contributions • Monitor and report on volunteer engagement, diversity and impact Person Specification Qualifications Educated to degree level or equivalent experience Essential qualities, skills and experience Experience of recruiting, training and supporting volunteers Experience of working in community engagement or outreach Excellent interpersonal and communication skills, both written and oral Strong organisational skills with the ability to manage multiple priorities Empathy and understanding of the challenges faced by families affected by health or disability issues Ability to work both independently and as part of a team A flexible, can-do attitude and creative approach to problem solving Proficient in Microsoft Office and comfortable using online collaboration tools and databases A commitment to the aims and values of Unique Desirable qualities, skills and experience Experience working in the charity or health/disability sector Experience of online community management or peer support programmes Knowledge of safeguarding principles and best practice in volunteer management Additional requirements Willing to travel regularly across England Availability to work occasional evenings and weekends A DBS check will be required prior to appointment
Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self propelled, generous, and genuine. People who love being part of a fast moving, fast thinking growth company. And people who care-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission UiPath Supply Chain and Retail team (Peak) is looking for a Senior Director of Software Engineering to lead the development of ML first multi tenant products and agentic solutions. Our vision is to rethink and rearchitect manufacturing and retail business processes using data driven predictions, decision and intelligent automation. In this role, you will manage multi disciplinary engineer squads and engineering managers. You will collaborate with other members of our product and professional services team, including product managers, applied scientists and forward deployed scientists/engineers to build and deploy scalable solutions that transform and establish our commitment to deliver business impact to our customers. What you'll do at UiPath Team Management & Organizational Development Build, mentor, and scale a world class multidisciplinary engineering team of 75 engineers, applied scientists, fostering a culture of innovation, customer obsession, and technical excellence Collaborate effectively across multiple vertically aligned engineering teams (Product and Forward Deployed Engineers), product managers and solutions architects for successful development and adoption of the product and solutions that you manage. Partner closely with Forward Deployment Engineers, Solution Engineers, and Account Managers to understand customer challenges and translate them into scalable engineering solutions Work closely with the People and Talent team to attract, recruit and retain top talent fully aligned with Peak product vision Product & Technical Execution Oversee the end to end development lifecycle of agentic solutions, AI agents, and ML products in the domain of pricing and inventory management. Drive the adoption and effective use of leading agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot and similar AI development agents) across engineering squads to modernize workflows, boost productivity, and elevate code quality. Establish engineering best practices for AI model deployment as part of software, system reliability, and operational excellence while ensuring compliance with security, privacy, and regulatory standards Take lead on analyzing complex technical issues, technology choices and communicate them with the team and stakeholders in both written and verbal manner to drive consensus. Incubate new ideas and create a roadmap for your areas of focus. Accountable for the software deliverables to meet all requirements of quality, security scalability, extensibility and testability. Continuously improve engineering practices and dev inner loop in the team to increase quality, velocity, and productivity. What you'll bring to the team Proven track record (10+ years' experience) of architecting and hands on engineering world class commercial applications. Proven track record of architecting and developing ML or Agentic commercial products (not platform). Experienced architecting scalable multi tenant architecture on claud using container orchestration with vanilla or Kubernetes based solutions. Ability to work with a globally distributed team. Ability to work closely with customers to develop initial POC and convert POCs to Product when needed. Proficiency in at least one programming language and strong software fundamentals. Proficiency in at least one area of AI (Preferably in LLM/NLP or Classical ML). Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
Mar 01, 2026
Full time
Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self propelled, generous, and genuine. People who love being part of a fast moving, fast thinking growth company. And people who care-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission UiPath Supply Chain and Retail team (Peak) is looking for a Senior Director of Software Engineering to lead the development of ML first multi tenant products and agentic solutions. Our vision is to rethink and rearchitect manufacturing and retail business processes using data driven predictions, decision and intelligent automation. In this role, you will manage multi disciplinary engineer squads and engineering managers. You will collaborate with other members of our product and professional services team, including product managers, applied scientists and forward deployed scientists/engineers to build and deploy scalable solutions that transform and establish our commitment to deliver business impact to our customers. What you'll do at UiPath Team Management & Organizational Development Build, mentor, and scale a world class multidisciplinary engineering team of 75 engineers, applied scientists, fostering a culture of innovation, customer obsession, and technical excellence Collaborate effectively across multiple vertically aligned engineering teams (Product and Forward Deployed Engineers), product managers and solutions architects for successful development and adoption of the product and solutions that you manage. Partner closely with Forward Deployment Engineers, Solution Engineers, and Account Managers to understand customer challenges and translate them into scalable engineering solutions Work closely with the People and Talent team to attract, recruit and retain top talent fully aligned with Peak product vision Product & Technical Execution Oversee the end to end development lifecycle of agentic solutions, AI agents, and ML products in the domain of pricing and inventory management. Drive the adoption and effective use of leading agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot and similar AI development agents) across engineering squads to modernize workflows, boost productivity, and elevate code quality. Establish engineering best practices for AI model deployment as part of software, system reliability, and operational excellence while ensuring compliance with security, privacy, and regulatory standards Take lead on analyzing complex technical issues, technology choices and communicate them with the team and stakeholders in both written and verbal manner to drive consensus. Incubate new ideas and create a roadmap for your areas of focus. Accountable for the software deliverables to meet all requirements of quality, security scalability, extensibility and testability. Continuously improve engineering practices and dev inner loop in the team to increase quality, velocity, and productivity. What you'll bring to the team Proven track record (10+ years' experience) of architecting and hands on engineering world class commercial applications. Proven track record of architecting and developing ML or Agentic commercial products (not platform). Experienced architecting scalable multi tenant architecture on claud using container orchestration with vanilla or Kubernetes based solutions. Ability to work with a globally distributed team. Ability to work closely with customers to develop initial POC and convert POCs to Product when needed. Proficiency in at least one programming language and strong software fundamentals. Proficiency in at least one area of AI (Preferably in LLM/NLP or Classical ML). Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
LII Data Science is seeking a Data Science Manager to lead and inspire a team of data scientists supporting our LII regions. As the people leader for this group, you will drive the growth and retention of top data science talent while ensuring transparency and accountability across all regional AI initiatives. Your primary focus will be delivering impactful data science solutions aligned with the strategic priorities of your region's business and actuarial teams. You will cultivate strong relationships with regional business and actuarial leaders, ensuring that their insights and needs are reflected in your team's project backlog and execution plans. Additionally, you'll maintain a close partnership with LII delivery leads and collaborate regularly with product managers specializing in AI Automation, AI Augmentation, and Centre of Excellence (CoE) leadership, sharing best practices and driving alignment on priorities. You will be a key connector between regional and global priorities, balancing local innovation with awareness of broader, cross-regional objectives and US leadership's expectations for ROI and strategic impact. Key Responsibilities: Lead, coach, and develop a team of data scientists, focusing on their growth, engagement, and retention in the UK/EU and APAC regions. Foster a culture of transparency in project execution, communicating status, challenges, and outcomes clearly to stakeholders. Build and maintain strong relationships with regional business leaders, actuarial heads, and delivery leads to ensure regional priorities and innovative ideas drive the backlog. Collaborate with product managers for AI Automation, AI Augmentation, and the CoE to align on project direction, share resources, and drive synergy in solution delivery. Facilitate cross-functional teamwork to enable delivery of data science solutions that provide tangible business impact and support regional goals. Work with US leadership to ensure alignment on business priorities, ROI targets, and strategic objectives, and communicate regional progress and challenges. Maintain awareness of cross-regional initiatives and leverage learnings to enhance your region's analytics capabilities. Oversee the review and improvement of data science tools, processes, and model performance, with input from regional actuarial and business stakeholders. Ensure your team stays current with AI, machine learning, and insurance analytics developments, bringing new ideas and methodologies to the region. Champion best practices for collaboration, knowledge sharing, and standardized delivery across regions. Skills and Experience: Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, Actuarial Science, Engineering, or related field. Relevant experience in data science or analytics, with some experience in people leadership and mentoring. Demonstrated ability to lead a team, drive resource growth and retention, and foster an inclusive, high-performance culture. Strong relationship-building skills with business leaders, actuarial teams, and cross-functional partners; ability to turn regional needs into actionable data science projects. Solid understanding of insurance business drivers, regional market contexts, and the intersection of actuarial and data science methods. Experience collaborating across geographies and with global leadership to align on priorities, ROI, and shared goals. Proven record of delivering data science solutions in a fast-paced, multi-stakeholder environment. Excellent communication skills, with ability to transparently report on execution and engage a variety of technical and non-technical stakeholders. Familiarity with Python and common data science tools; exposure to actuarial analytics is a strong plus. Experience in the insurance or financial services industry highly preferred. About Liberty International Insurance LII is part of Global Risk Solutions and the broader Liberty Mutual Insurance Group, which is a leading global insurer. We offer a breadth of world-class insurance and reinsurance services to brokers and customers in all major markets across the globe. Our people are key to our success. That is why "Put People First" is one of the five Liberty values which unite us as a global organisation. We bring this to life for our colleagues through: Offering a vibrant and inclusive environment and committing to their career development. Promoting diversity, equity and inclusion (DEI). Our Inclusion Matters framework and employee led networks strengthen the diversity of our workforce and our inclusive environment. Reinforcing that collaborating together to share our unique perspectives help us make better decisions, deliver innovative solutions and pursue our ambitious goals. A supportive culture, which includes promoting a healthy work life balance and working flexibly. For more information, please follow the links below:
Mar 01, 2026
Full time
LII Data Science is seeking a Data Science Manager to lead and inspire a team of data scientists supporting our LII regions. As the people leader for this group, you will drive the growth and retention of top data science talent while ensuring transparency and accountability across all regional AI initiatives. Your primary focus will be delivering impactful data science solutions aligned with the strategic priorities of your region's business and actuarial teams. You will cultivate strong relationships with regional business and actuarial leaders, ensuring that their insights and needs are reflected in your team's project backlog and execution plans. Additionally, you'll maintain a close partnership with LII delivery leads and collaborate regularly with product managers specializing in AI Automation, AI Augmentation, and Centre of Excellence (CoE) leadership, sharing best practices and driving alignment on priorities. You will be a key connector between regional and global priorities, balancing local innovation with awareness of broader, cross-regional objectives and US leadership's expectations for ROI and strategic impact. Key Responsibilities: Lead, coach, and develop a team of data scientists, focusing on their growth, engagement, and retention in the UK/EU and APAC regions. Foster a culture of transparency in project execution, communicating status, challenges, and outcomes clearly to stakeholders. Build and maintain strong relationships with regional business leaders, actuarial heads, and delivery leads to ensure regional priorities and innovative ideas drive the backlog. Collaborate with product managers for AI Automation, AI Augmentation, and the CoE to align on project direction, share resources, and drive synergy in solution delivery. Facilitate cross-functional teamwork to enable delivery of data science solutions that provide tangible business impact and support regional goals. Work with US leadership to ensure alignment on business priorities, ROI targets, and strategic objectives, and communicate regional progress and challenges. Maintain awareness of cross-regional initiatives and leverage learnings to enhance your region's analytics capabilities. Oversee the review and improvement of data science tools, processes, and model performance, with input from regional actuarial and business stakeholders. Ensure your team stays current with AI, machine learning, and insurance analytics developments, bringing new ideas and methodologies to the region. Champion best practices for collaboration, knowledge sharing, and standardized delivery across regions. Skills and Experience: Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, Actuarial Science, Engineering, or related field. Relevant experience in data science or analytics, with some experience in people leadership and mentoring. Demonstrated ability to lead a team, drive resource growth and retention, and foster an inclusive, high-performance culture. Strong relationship-building skills with business leaders, actuarial teams, and cross-functional partners; ability to turn regional needs into actionable data science projects. Solid understanding of insurance business drivers, regional market contexts, and the intersection of actuarial and data science methods. Experience collaborating across geographies and with global leadership to align on priorities, ROI, and shared goals. Proven record of delivering data science solutions in a fast-paced, multi-stakeholder environment. Excellent communication skills, with ability to transparently report on execution and engage a variety of technical and non-technical stakeholders. Familiarity with Python and common data science tools; exposure to actuarial analytics is a strong plus. Experience in the insurance or financial services industry highly preferred. About Liberty International Insurance LII is part of Global Risk Solutions and the broader Liberty Mutual Insurance Group, which is a leading global insurer. We offer a breadth of world-class insurance and reinsurance services to brokers and customers in all major markets across the globe. Our people are key to our success. That is why "Put People First" is one of the five Liberty values which unite us as a global organisation. We bring this to life for our colleagues through: Offering a vibrant and inclusive environment and committing to their career development. Promoting diversity, equity and inclusion (DEI). Our Inclusion Matters framework and employee led networks strengthen the diversity of our workforce and our inclusive environment. Reinforcing that collaborating together to share our unique perspectives help us make better decisions, deliver innovative solutions and pursue our ambitious goals. A supportive culture, which includes promoting a healthy work life balance and working flexibly. For more information, please follow the links below:
A global biopharma company in Stevenage is seeking a candidate to lead applied analyses of omics datasets. This role involves integrating multi-omic data and applying statistical methods for translational results. A Master's or PhD in a relevant field is required, along with programming experience in R or Python. The position offers significant career advancement opportunities and participation in innovative drug development processes. A commitment to collaboration and mentorship within a multidisciplinary environment is essential.
Mar 01, 2026
Full time
A global biopharma company in Stevenage is seeking a candidate to lead applied analyses of omics datasets. This role involves integrating multi-omic data and applying statistical methods for translational results. A Master's or PhD in a relevant field is required, along with programming experience in R or Python. The position offers significant career advancement opportunities and participation in innovative drug development processes. A commitment to collaboration and mentorship within a multidisciplinary environment is essential.
Overview Job description Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage Posted Date: Feb 3 2026 At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Position Summary You will lead applied and translational omics analyses that turn complex biological data into clear decisions. You will work with experimental scientists, data engineers, and clinical teams to design analyses and integrate multi-omic and clinical data. We value clear communication, practical problem solving, curiosity, and collaboration. This role offers visible impact, career growth, and aligns with our mission of uniting science, technology and talent to get ahead of disease together. This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following: Design and run reproducible analyses of genomic, transcriptomic, proteomic and other omics datasets. Integrate multi-omic and clinical data to prioritize targets, nominate biomarkers, and define patient subgroups. Build, validate and productionize analysis pipelines and tools that support cross-functional teams. Communicate results clearly and make practical recommendations to project teams and decision-makers. Collaborate with laboratory and clinical colleagues to design analyses that guide experiments and studies. Ensure data quality, metadata standards, documentation and reproducible research practices. Key Responsibilities: Lead hands-on analysis of large, diverse omics datasets, including bulk and single-cell data. Apply statistical methods, machine learning, and causal inference to answer translational questions. Develop scripts, workflows, and software artifacts that follow reproducible research and FAIR principles. Troubleshoot data issues, perform rigorous quality control and document analysis steps. Mentor junior scientists and contribute to a collaborative and respectful team culture. Monitor new methods and tools and evaluate them for adoption in projects. Impact the GSK drug development pipeline through development and application of innovative computational and statistical approaches to the analysis, integration and interpretation of spatial, single cell and other cutting edge high dimensional multi-omic data. Help drive the evaluation and development, and lead the application, of analytics methods for spatial and single cell omics in the context of clinical studies. Work within or lead cross-functional project teams with GSK scientists and external collaborators, focusing on impacting clinical study and biomarker decisions across respiratory, immunology, infectious disease, neurodegeneration or metabolic disease. Effectively communicate analysis findings and recommendations, with expert interpretation, to project teams. Work with focus and agility to deliver against objectives, demonstrating strong statistical, analytical and critical thinking skills. Additional responsibilities include advancing analytics in spatial and single-cell omics within clinical studies and collaborating across cross-functional teams to support biomarker decisions. Why You? Basic Qualifications: Advanced degree (Master's with relevant experience or PhD preferred) in computational biology, bioinformatics, genetics, biostatistics, or related field. Programming experience in R and/or Python for data analysis and scripting. Experience processing and analyzing large omics datasets, including quality control and normalization. Experience with common genomics file formats and tools (for example VCF, BAM/FASTQ, single-cell data structures). Experience reproducible analyses and use of version control (for example Git). 1+ years of experience with single-cell and spatial omics analysis workflows. Preferred Qualifications: Clear communication skills and experience working in multidisciplinary teams. Experience integrating omics with clinical or real-world data for translational analyses. Experience productionizing pipelines or contributing to shared analysis platforms. Evidence of influencing research through publications or major project contributions. Proven ability to derive and apply novel insights from these and other emerging genomic technologies. Ability to critically evaluate cutting-edge tools and frameworks for single-cell and spatial data analysis, integration, visualization, and interpretation, and their application to clinical development. Proven expertise in statistical modelling, hypothesis testing, and data-driven inference. Expertise in statistical approaches to the identification and assessment of predictive and prognostic biomarkers. Experience with clinical trial data analysis and working in a regulatory environment. Notes: This position requires on-site attendance in accordance with GSK's Performance with Choice policy. Salary and benefits: If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges from $121,275 to $202,125. The US salary ranges take into account factors including location, skills, experience, and market rate. This position offers an annual bonus and eligibility to participate in our share-based long-term incentive program. Available benefits include health care and other insurance benefits, retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit the GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. If your inquiry does not relate to adjustments, we will not be able to support you through these channels. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, pregnancy, gender identity, or sexual orientation, parental status, national origin, age, disability, or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK.
Mar 01, 2026
Full time
Overview Job description Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage Posted Date: Feb 3 2026 At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Position Summary You will lead applied and translational omics analyses that turn complex biological data into clear decisions. You will work with experimental scientists, data engineers, and clinical teams to design analyses and integrate multi-omic and clinical data. We value clear communication, practical problem solving, curiosity, and collaboration. This role offers visible impact, career growth, and aligns with our mission of uniting science, technology and talent to get ahead of disease together. This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following: Design and run reproducible analyses of genomic, transcriptomic, proteomic and other omics datasets. Integrate multi-omic and clinical data to prioritize targets, nominate biomarkers, and define patient subgroups. Build, validate and productionize analysis pipelines and tools that support cross-functional teams. Communicate results clearly and make practical recommendations to project teams and decision-makers. Collaborate with laboratory and clinical colleagues to design analyses that guide experiments and studies. Ensure data quality, metadata standards, documentation and reproducible research practices. Key Responsibilities: Lead hands-on analysis of large, diverse omics datasets, including bulk and single-cell data. Apply statistical methods, machine learning, and causal inference to answer translational questions. Develop scripts, workflows, and software artifacts that follow reproducible research and FAIR principles. Troubleshoot data issues, perform rigorous quality control and document analysis steps. Mentor junior scientists and contribute to a collaborative and respectful team culture. Monitor new methods and tools and evaluate them for adoption in projects. Impact the GSK drug development pipeline through development and application of innovative computational and statistical approaches to the analysis, integration and interpretation of spatial, single cell and other cutting edge high dimensional multi-omic data. Help drive the evaluation and development, and lead the application, of analytics methods for spatial and single cell omics in the context of clinical studies. Work within or lead cross-functional project teams with GSK scientists and external collaborators, focusing on impacting clinical study and biomarker decisions across respiratory, immunology, infectious disease, neurodegeneration or metabolic disease. Effectively communicate analysis findings and recommendations, with expert interpretation, to project teams. Work with focus and agility to deliver against objectives, demonstrating strong statistical, analytical and critical thinking skills. Additional responsibilities include advancing analytics in spatial and single-cell omics within clinical studies and collaborating across cross-functional teams to support biomarker decisions. Why You? Basic Qualifications: Advanced degree (Master's with relevant experience or PhD preferred) in computational biology, bioinformatics, genetics, biostatistics, or related field. Programming experience in R and/or Python for data analysis and scripting. Experience processing and analyzing large omics datasets, including quality control and normalization. Experience with common genomics file formats and tools (for example VCF, BAM/FASTQ, single-cell data structures). Experience reproducible analyses and use of version control (for example Git). 1+ years of experience with single-cell and spatial omics analysis workflows. Preferred Qualifications: Clear communication skills and experience working in multidisciplinary teams. Experience integrating omics with clinical or real-world data for translational analyses. Experience productionizing pipelines or contributing to shared analysis platforms. Evidence of influencing research through publications or major project contributions. Proven ability to derive and apply novel insights from these and other emerging genomic technologies. Ability to critically evaluate cutting-edge tools and frameworks for single-cell and spatial data analysis, integration, visualization, and interpretation, and their application to clinical development. Proven expertise in statistical modelling, hypothesis testing, and data-driven inference. Expertise in statistical approaches to the identification and assessment of predictive and prognostic biomarkers. Experience with clinical trial data analysis and working in a regulatory environment. Notes: This position requires on-site attendance in accordance with GSK's Performance with Choice policy. Salary and benefits: If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges from $121,275 to $202,125. The US salary ranges take into account factors including location, skills, experience, and market rate. This position offers an annual bonus and eligibility to participate in our share-based long-term incentive program. Available benefits include health care and other insurance benefits, retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit the GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. If your inquiry does not relate to adjustments, we will not be able to support you through these channels. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, pregnancy, gender identity, or sexual orientation, parental status, national origin, age, disability, or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK.
Are you an experienced Lead Data Scientist looking to shape AI strategy, mentor a high-performing team, and work on cutting-edge LLM and generative AI projects? Our client, a growing data & AI consultancy, is hiring a technical leader to drive innovation and deliver high-impact solutions for customers across multiple industries click apply for full job details
Mar 01, 2026
Full time
Are you an experienced Lead Data Scientist looking to shape AI strategy, mentor a high-performing team, and work on cutting-edge LLM and generative AI projects? Our client, a growing data & AI consultancy, is hiring a technical leader to drive innovation and deliver high-impact solutions for customers across multiple industries click apply for full job details
Senior Data Engineer (AWS, Airflow, Python) Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary up to 65k plus company benefits. About Us Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years' experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you're valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you. Glassdoor score of 4.7 96% of our staff would recommend Triad to a friend 100% CEO approval See for yourself some of the work that makes us all so proud: Helping law enforcement with secure intelligence systems that keep the UK safe Supporting the UK's national meteorological service in leveraging supercomputers for next-level weather forecasting Assisting a UK government department responsible for consumer product safety with systems to track unsafe products Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport Role Summary Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise and maintain robust data pipelines using Apache Airflow. Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use. Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements. Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability. Identify data quality issues and implement data validation and cleansing processes. Maintain clear and comprehensive documentation covering data pipelines, models, and best practices. Work within a continuous integration environment with automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache Airflow. Familiarity with distributed data processing systems such as Spark or Databricks. Experience working with high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy. Qualifications & Certifications A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable). Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance . To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK. Triad's Commitment to You As a growing and ambitious company, Triad prioritises your development and well-being: Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative, creative, and free from discrimination. Benefits: 25 days of annual leave, plus bank holidays. Matched pension contributions (5%). Private healthcare with Bupa. Gym membership support or Lakeshore Fitness access. Perkbox membership. Cycle-to-work scheme. What Our Colleagues Have to Say Please see for yourself on Glassdoor and our "Day in the Life" videos at the bottom of our Careers Page. Our Selection Process After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for: A technical test including numerical, logical and verbal reasoning A technical interview with our consultants A management interview to assess cultural fit We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other Information If this role is of interest to you or you would like further information, please contact X and submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.
Feb 28, 2026
Full time
Senior Data Engineer (AWS, Airflow, Python) Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary up to 65k plus company benefits. About Us Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years' experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you're valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you. Glassdoor score of 4.7 96% of our staff would recommend Triad to a friend 100% CEO approval See for yourself some of the work that makes us all so proud: Helping law enforcement with secure intelligence systems that keep the UK safe Supporting the UK's national meteorological service in leveraging supercomputers for next-level weather forecasting Assisting a UK government department responsible for consumer product safety with systems to track unsafe products Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport Role Summary Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise and maintain robust data pipelines using Apache Airflow. Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use. Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements. Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability. Identify data quality issues and implement data validation and cleansing processes. Maintain clear and comprehensive documentation covering data pipelines, models, and best practices. Work within a continuous integration environment with automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache Airflow. Familiarity with distributed data processing systems such as Spark or Databricks. Experience working with high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy. Qualifications & Certifications A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable). Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance . To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK. Triad's Commitment to You As a growing and ambitious company, Triad prioritises your development and well-being: Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative, creative, and free from discrimination. Benefits: 25 days of annual leave, plus bank holidays. Matched pension contributions (5%). Private healthcare with Bupa. Gym membership support or Lakeshore Fitness access. Perkbox membership. Cycle-to-work scheme. What Our Colleagues Have to Say Please see for yourself on Glassdoor and our "Day in the Life" videos at the bottom of our Careers Page. Our Selection Process After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for: A technical test including numerical, logical and verbal reasoning A technical interview with our consultants A management interview to assess cultural fit We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other Information If this role is of interest to you or you would like further information, please contact X and submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.
A leading biotech company in London is seeking a Senior/Principal Scientist to lead statistical and population genomics efforts. This role involves working with large-scale human genetics data, and applying statistical methodologies to accelerate target identification across various therapeutic areas. Candidates should possess a PhD in relevant fields and experience in statistical genetics. This is a unique opportunity to impact patient outcomes and advance drug discovery through cutting-edge research.
Feb 28, 2026
Full time
A leading biotech company in London is seeking a Senior/Principal Scientist to lead statistical and population genomics efforts. This role involves working with large-scale human genetics data, and applying statistical methodologies to accelerate target identification across various therapeutic areas. Candidates should possess a PhD in relevant fields and experience in statistical genetics. This is a unique opportunity to impact patient outcomes and advance drug discovery through cutting-edge research.
Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology we have an excellent opportunity for a Data Science Intern to join our talented team in our global head office in Oldham, Greater Manchester for 12 months starting in Summer 2026. The Role Overview: As a Data Science Intern, you ll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. Here at ITL, we offer Hands-on experience with real-world projects Mentorship and training from experienced professionals Opportunities to network and grow within the field of data science A supportive and collaborative work environment Potential for a full-time offer upon successful completion of the internship This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your Responsibilities Collaborate with the data science team to design, implement, and optimize Machine Learning models Analyze large datasets to uncover trends, patterns, and insights that drive business decisions Develop and test algorithms for machine learning, statistical analysis, or data visualization Assist in cleaning, transforming, and preparing data for analysis Create dashboards and reports to communicate findings effectively to stakeholders Stay up-to-date with the latest developments in data science and AI technologies Qualifications: An undergraduate working towards a degree in either Data Science, Mathematics, Computer Science or a similar related subject. Skills and Experience: A solid understanding of machine learning techniques and algorithms. Experience of programming in Python, or similar associated tools. An excellent communicator who s analytically minded with a practical approach to solving problems. Your Package and Perks A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year Educational Sponsorship Enhanced Pension Contribution Healthcare Insurance (including dental) Wellbeing support Life Insurance Income Protection Insurance Free secure parking Onsite electric car charging points Cycle to Work Scheme Informal dress code Paid breaks, with free premium hot drinks We re Innovative Trading for over 30 years here at Innovative Technology, where we have offices on five continents and employ around 400 people, with over 170 based from our state-of-the-art R&D hub and global head office in Oldham, Manchester. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world s leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we ve seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You ll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What s next? If you want to develop as a Data Scientist throughout your Industrial Placement Year and you are looking to join our award-winning team on the latest cutting-edge technology, we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services. Due to the high volume of applications we receive, our selection process is thorough and may take up to two months to complete. We appreciate your patience as we give every candidate's profile the attention it deserves. This is a two-part interview process, starting with a brief telephone screening followed by a formal site-based interview.
Feb 28, 2026
Contractor
Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology we have an excellent opportunity for a Data Science Intern to join our talented team in our global head office in Oldham, Greater Manchester for 12 months starting in Summer 2026. The Role Overview: As a Data Science Intern, you ll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. Here at ITL, we offer Hands-on experience with real-world projects Mentorship and training from experienced professionals Opportunities to network and grow within the field of data science A supportive and collaborative work environment Potential for a full-time offer upon successful completion of the internship This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your Responsibilities Collaborate with the data science team to design, implement, and optimize Machine Learning models Analyze large datasets to uncover trends, patterns, and insights that drive business decisions Develop and test algorithms for machine learning, statistical analysis, or data visualization Assist in cleaning, transforming, and preparing data for analysis Create dashboards and reports to communicate findings effectively to stakeholders Stay up-to-date with the latest developments in data science and AI technologies Qualifications: An undergraduate working towards a degree in either Data Science, Mathematics, Computer Science or a similar related subject. Skills and Experience: A solid understanding of machine learning techniques and algorithms. Experience of programming in Python, or similar associated tools. An excellent communicator who s analytically minded with a practical approach to solving problems. Your Package and Perks A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year Educational Sponsorship Enhanced Pension Contribution Healthcare Insurance (including dental) Wellbeing support Life Insurance Income Protection Insurance Free secure parking Onsite electric car charging points Cycle to Work Scheme Informal dress code Paid breaks, with free premium hot drinks We re Innovative Trading for over 30 years here at Innovative Technology, where we have offices on five continents and employ around 400 people, with over 170 based from our state-of-the-art R&D hub and global head office in Oldham, Manchester. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world s leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we ve seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You ll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What s next? If you want to develop as a Data Scientist throughout your Industrial Placement Year and you are looking to join our award-winning team on the latest cutting-edge technology, we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services. Due to the high volume of applications we receive, our selection process is thorough and may take up to two months to complete. We appreciate your patience as we give every candidate's profile the attention it deserves. This is a two-part interview process, starting with a brief telephone screening followed by a formal site-based interview.
Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology, we have an excellent opportunity for a Software Engineer/ Computer Scientist (Applied Sciences) intern to join our talented team in our global head office in Oldham, Greater Manchester for 12 months starting in Summer 2026. The role Overview: As a Software Engineer Intern working in the Applied Sciences Group, you ll work closely with our experienced team of Software Engineers, Physicists and Data Scientists to support the deployment of cutting edge algorithms within ITL s hardware platforms. Here at ITL, we offer Real-world experience working on impactful projects. Guidance and mentorship from experienced professionals. Networking opportunities within the technology industry. A collaborative and dynamic work environment. Potential for a full-time role upon successful completion of the internship. This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your responsibilities: You will be working in a fast-paced environment that offers opportunities to create and to develop, our Software Engineers. You will be applying all aspects of their learning while delivering against targets and supporting and improving the efficiency and performance of our codebase and hardware platforms. As a Computer Science Intern, you will: Collaborate with the computer science team to design, develop, and test software applications. Write clean, efficient, and maintainable code for various projects. Debug and troubleshoot issues in existing systems. Participate in brainstorming sessions and contribute to the development of new ideas. Conduct research on emerging technologies and recommend their applications. Document processes, technical designs, and findings. Qualifications: An undergraduate working towards a degree in either Software Engineering, Data Science, Mathematics, Computer Science or a similar related subject. Your Skills and Experience: Strong experience of programming in Python. Basic knowledge of algorithms, data structures, and object-oriented programming Familiarity with software development methodologies (e.g., Agile, Scrum) An excellent communicator who s analytical minded with a practical approach to solving problems. Your Package and Perks A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year Educational Sponsorship Enhanced Pension Contribution Healthcare Insurance (including dental) Wellbeing support Life Insurance Income Protection Insurance Free secure parking Onsite electric car charging points Cycle to Work Scheme Informal dress code Paid breaks, with free premium hot drinks We re Innovative Trading for over 30 years here at Innovative Technology, where we now have offices on five continents and employ around 400 people, with over 170 based from our state-of-the-art R&D hub. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world s leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we ve seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You ll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What s next? If you re looking to develop as Software Engineer/ Computer Scientist (Applied Sciences) throughout your Industrial Placement Year and want to join our award-winning team on the latest cutting-edge technology we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services. Due to the high volume of applications we receive, our selection process is thorough and may take up to two months to complete. We appreciate your patience as we give every candidate's profile the attention it deserves. This is a two-part interview process, starting with a brief telephone screening followed by a formal site-based interview.
Feb 28, 2026
Full time
Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology, we have an excellent opportunity for a Software Engineer/ Computer Scientist (Applied Sciences) intern to join our talented team in our global head office in Oldham, Greater Manchester for 12 months starting in Summer 2026. The role Overview: As a Software Engineer Intern working in the Applied Sciences Group, you ll work closely with our experienced team of Software Engineers, Physicists and Data Scientists to support the deployment of cutting edge algorithms within ITL s hardware platforms. Here at ITL, we offer Real-world experience working on impactful projects. Guidance and mentorship from experienced professionals. Networking opportunities within the technology industry. A collaborative and dynamic work environment. Potential for a full-time role upon successful completion of the internship. This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your responsibilities: You will be working in a fast-paced environment that offers opportunities to create and to develop, our Software Engineers. You will be applying all aspects of their learning while delivering against targets and supporting and improving the efficiency and performance of our codebase and hardware platforms. As a Computer Science Intern, you will: Collaborate with the computer science team to design, develop, and test software applications. Write clean, efficient, and maintainable code for various projects. Debug and troubleshoot issues in existing systems. Participate in brainstorming sessions and contribute to the development of new ideas. Conduct research on emerging technologies and recommend their applications. Document processes, technical designs, and findings. Qualifications: An undergraduate working towards a degree in either Software Engineering, Data Science, Mathematics, Computer Science or a similar related subject. Your Skills and Experience: Strong experience of programming in Python. Basic knowledge of algorithms, data structures, and object-oriented programming Familiarity with software development methodologies (e.g., Agile, Scrum) An excellent communicator who s analytical minded with a practical approach to solving problems. Your Package and Perks A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year Educational Sponsorship Enhanced Pension Contribution Healthcare Insurance (including dental) Wellbeing support Life Insurance Income Protection Insurance Free secure parking Onsite electric car charging points Cycle to Work Scheme Informal dress code Paid breaks, with free premium hot drinks We re Innovative Trading for over 30 years here at Innovative Technology, where we now have offices on five continents and employ around 400 people, with over 170 based from our state-of-the-art R&D hub. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world s leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we ve seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You ll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What s next? If you re looking to develop as Software Engineer/ Computer Scientist (Applied Sciences) throughout your Industrial Placement Year and want to join our award-winning team on the latest cutting-edge technology we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services. Due to the high volume of applications we receive, our selection process is thorough and may take up to two months to complete. We appreciate your patience as we give every candidate's profile the attention it deserves. This is a two-part interview process, starting with a brief telephone screening followed by a formal site-based interview.
