Solus Accident Repair Centres
Birchanger, Hertfordshire
Overview We are excited to offer you the opportunity to join our expanding Technology Business Unit asaLevel1IT Engineer. What You'll Be Doing As a 1st line support agent, you need to collect sufficient information about a customer's issue. If you cannot solve a problem, you pass along the ticket to the 2nd line support, who handles time-consuming and technical issues arising from the first support. Usually, first line support receives queries from our internal people and external companies where we provide Evolve. Responsibilities As our Solus IT Engineer you will: Act as the first point of contact for IT issues, handling initial support queries via phone,emailor chat. Trouble shoot and resolve basic technical problems related to hardware,softwareand network connectivity. Log, categorise, and prioritise support tickets, escalating complex issues to 2nd or 3rd line support as needed. Maintainaccuraterecords of incidents, resolutions, and procedures in the ticketing system. Provide clear instructions and guidance to users for resolving common issues and improving their tech experience. Monitor system performance and respond to alerts to prevent and address potential issues. Work closely with other support teams and departments to ensure comprehensive and efficient problem resolution. Qualifications Who are Solus? Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award-winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? We have so much to offer when it comes to being a Solus colleague: Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know. Ready to join us? Apply online today, and our team will be in touch within 14 days.
Apr 04, 2026
Full time
Overview We are excited to offer you the opportunity to join our expanding Technology Business Unit asaLevel1IT Engineer. What You'll Be Doing As a 1st line support agent, you need to collect sufficient information about a customer's issue. If you cannot solve a problem, you pass along the ticket to the 2nd line support, who handles time-consuming and technical issues arising from the first support. Usually, first line support receives queries from our internal people and external companies where we provide Evolve. Responsibilities As our Solus IT Engineer you will: Act as the first point of contact for IT issues, handling initial support queries via phone,emailor chat. Trouble shoot and resolve basic technical problems related to hardware,softwareand network connectivity. Log, categorise, and prioritise support tickets, escalating complex issues to 2nd or 3rd line support as needed. Maintainaccuraterecords of incidents, resolutions, and procedures in the ticketing system. Provide clear instructions and guidance to users for resolving common issues and improving their tech experience. Monitor system performance and respond to alerts to prevent and address potential issues. Work closely with other support teams and departments to ensure comprehensive and efficient problem resolution. Qualifications Who are Solus? Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award-winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? We have so much to offer when it comes to being a Solus colleague: Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know. Ready to join us? Apply online today, and our team will be in touch within 14 days.
This role is a zero-hour contract, we are looking for someone who can be available across the week. Are you looking to start a career in the Car and Van Rental Industry? Whether you have current or prior experience, this could be the perfect opportunity for you! We offer in-the-job training. In the role of a Rental Agent, your responsibilities involve assisting customers with their rental needs in b click apply for full job details
Apr 04, 2026
Full time
This role is a zero-hour contract, we are looking for someone who can be available across the week. Are you looking to start a career in the Car and Van Rental Industry? Whether you have current or prior experience, this could be the perfect opportunity for you! We offer in-the-job training. In the role of a Rental Agent, your responsibilities involve assisting customers with their rental needs in b click apply for full job details
Senior Residential Property Lawyer Taunton Salary up to £90,000 Yolk Recruitment is proud to be supporting an exciting recruitment campaign for a highly regarded regional firm seeking to appoint a Senior Residential Property Lawyer to lead and develop their Taunton office. This is a rare opportunity for an experienced Senior Residential Property Lawyer to step into a leadership position with a clear pathway to partnership while continuing to handle high quality residential conveyancing work within a supportive and profitable practice. This Senior Residential Property Lawyer role would suit someone with strong residential conveyancing experience who is looking to progress into a more senior position where they can help shape and grow a department. The firm has an established reputation in the local property market, supported by strong relationships with estate agents, mortgage brokers and surveyors, and is now looking for a commercially minded individual who can build on that success. The role will involve managing your own residential conveyancing caseload while also supporting and developing the team in Taunton. The position is largely office based, particularly in the early stages, and would suit someone locally based or considering relocating to the Somerset area. This is what you will be doing As a Senior Residential Property Lawyer, your day-to-day duties will involve:- Managing a varied residential conveyancing caseload including freehold and leasehold sales and purchases from instruction through to completion. Supporting the development and growth of the residential property department within the Taunton office. Building and maintaining strong relationships with local estate agents, brokers and other introducers. Supervising and mentoring junior members of the team where appropriate. Contributing to the firm's wider growth strategy and supporting future business development initiatives. The experience you will bring to the team You will bring the following experience to the Residential Property team:- Qualified Lawyer (Solicitor, Licensed Conveyancer or Legal Executive) with strong residential conveyancing experience ideally 5+ PQE. Proven ability to manage a full residential property caseload independently. Strong commercial awareness and an interest in helping develop and grow a department. Excellent client care skills with the ability to build relationships with local introducers and contacts. Ambition to progress into a leadership role with a long-term pathway to partnership. This is what you will get in return Salary between up to £90,000 depending on experience. Opportunity for salaried partnership in the short term or immediately for the right candidate. Clear pathway to equity partnership as part of the firm's succession planning. Opportunity to lead and develop a growing residential property department. Competitive benefits package and long-term career progression. Are you up to the challenge? If you're a Senior Residential Property Lawyer ready to take the next step in your career, we'd love to hear from you. Apply today or get in touch to find out more. All enquiries will be handled in the strictest confidence by Yolk Recruitment. If you are looking to pursue the next step in your career with a highly regarded law firm, we encourage you to apply by contacting Oliver Coodye on or alternatively send your CV Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work. Please note, whilst we do our best to contact all candidates, due to the high number of applications we receive we cannot guarantee this for every role. If you have not heard anything from us within 7 days of applying - then unfortunately you have been unsuccessful. Please keep an eye on our website for more opportunities.
Apr 04, 2026
Full time
Senior Residential Property Lawyer Taunton Salary up to £90,000 Yolk Recruitment is proud to be supporting an exciting recruitment campaign for a highly regarded regional firm seeking to appoint a Senior Residential Property Lawyer to lead and develop their Taunton office. This is a rare opportunity for an experienced Senior Residential Property Lawyer to step into a leadership position with a clear pathway to partnership while continuing to handle high quality residential conveyancing work within a supportive and profitable practice. This Senior Residential Property Lawyer role would suit someone with strong residential conveyancing experience who is looking to progress into a more senior position where they can help shape and grow a department. The firm has an established reputation in the local property market, supported by strong relationships with estate agents, mortgage brokers and surveyors, and is now looking for a commercially minded individual who can build on that success. The role will involve managing your own residential conveyancing caseload while also supporting and developing the team in Taunton. The position is largely office based, particularly in the early stages, and would suit someone locally based or considering relocating to the Somerset area. This is what you will be doing As a Senior Residential Property Lawyer, your day-to-day duties will involve:- Managing a varied residential conveyancing caseload including freehold and leasehold sales and purchases from instruction through to completion. Supporting the development and growth of the residential property department within the Taunton office. Building and maintaining strong relationships with local estate agents, brokers and other introducers. Supervising and mentoring junior members of the team where appropriate. Contributing to the firm's wider growth strategy and supporting future business development initiatives. The experience you will bring to the team You will bring the following experience to the Residential Property team:- Qualified Lawyer (Solicitor, Licensed Conveyancer or Legal Executive) with strong residential conveyancing experience ideally 5+ PQE. Proven ability to manage a full residential property caseload independently. Strong commercial awareness and an interest in helping develop and grow a department. Excellent client care skills with the ability to build relationships with local introducers and contacts. Ambition to progress into a leadership role with a long-term pathway to partnership. This is what you will get in return Salary between up to £90,000 depending on experience. Opportunity for salaried partnership in the short term or immediately for the right candidate. Clear pathway to equity partnership as part of the firm's succession planning. Opportunity to lead and develop a growing residential property department. Competitive benefits package and long-term career progression. Are you up to the challenge? If you're a Senior Residential Property Lawyer ready to take the next step in your career, we'd love to hear from you. Apply today or get in touch to find out more. All enquiries will be handled in the strictest confidence by Yolk Recruitment. If you are looking to pursue the next step in your career with a highly regarded law firm, we encourage you to apply by contacting Oliver Coodye on or alternatively send your CV Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work. Please note, whilst we do our best to contact all candidates, due to the high number of applications we receive we cannot guarantee this for every role. If you have not heard anything from us within 7 days of applying - then unfortunately you have been unsuccessful. Please keep an eye on our website for more opportunities.
.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Cirium offers aviation and air travel data and analytics to help keep the world in motion. Our people are at the center of who we are and what we do. We put the interests of our customers unmistakably first, we are empowered by the trust we earn from each other and our customers, we share a common global vision for Cirium based diversity, inclusion and collaboration and our passion for discovery will transform industries. Our team delivers insight, built from decades of experience in the sector, enabling travel companies, aircraft manufacturers, airports, airlines and financial institutions, among others, to make logical and informed decisions which shape the future of travel, growing revenues and enhancing customer experiences.
Apr 04, 2026
Full time
.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Cirium offers aviation and air travel data and analytics to help keep the world in motion. Our people are at the center of who we are and what we do. We put the interests of our customers unmistakably first, we are empowered by the trust we earn from each other and our customers, we share a common global vision for Cirium based diversity, inclusion and collaboration and our passion for discovery will transform industries. Our team delivers insight, built from decades of experience in the sector, enabling travel companies, aircraft manufacturers, airports, airlines and financial institutions, among others, to make logical and informed decisions which shape the future of travel, growing revenues and enhancing customer experiences.
Asset Management, Technology - Data Scientist The Data Science, Analytics and AI group within Macquarie Asset Management aspires to create a data driven decision making culture and support business growth by advancing our capabilities in analytics and AI. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? You will tackle complex challenges using advanced analytics and agentic AI. Leveraging state of the art AI techniques, you will deliver transformative business impact across our private market investment divisions, including Real Assets, Real Estate, and Credit and Insurance. Example challenges include automating data extraction from unstructured investment documents, building AI agents to streamline portfolio company analysis, creating intelligent systems to support deal screening workflows, and developing tools that augment analyst productivity across asset classes. What you offer 4+ years' experience in Data Science, working for a financial institution and ideally supporting across one or more private asset classes Highly proficient in Python or R, a deep understanding of cloud infrastructure, and hands on experience building and deploying agentic AI workflows Experience with Anthropic Claude API or Google Gemini API strongly preferred and familiarity with Atlassian tools and scrum methodology is advantageous Excellent communication skills, able to translate business requirements into technical solutions and clearly articulate ML and AI approaches to a diverse range of stakeholders Able to thrive within a collaborative, multi disciplinary, cross functional agile scrum team, working alongside engineers, product owners and business stakeholders to deliver complex AI solutions We love hearing from anyone inspired to build a better future with us. If you're excited about the role or working at Macquarie, we encourage you to apply. What we offer At Macquarie, you're empowered to shape a career that's rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include: 1 wellbeing leave day per year and a minimum of 25 days of annual leave. 26 weeks' paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks' paid leave for secondary caregivers Paid fertility leave for those undergoing or supporting fertility treatment 2 days of paid volunteer leave and donation matching Access to a wide range of salary sacrificing options Benefits and initiatives to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription Access to company funded emergency and backup dependent care services Recognition and service awards Hybrid and flexible working arrangements, dependent on role Reimbursement for work from home equipment About Macquarie Asset Management Macquarie Asset Management is a leading global asset manager, trusted by institutions, individuals and communities to responsibly manage $A720 billion in assets. MAM provides clients with a diverse range of investment solutions that seek to deliver superior risk adjusted returns. All figures as at 31 September 2025, excluding assets acquired by Nomura on 1 December 2025. Our commitment to diversity, equity and inclusion We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.
Apr 04, 2026
Full time
Asset Management, Technology - Data Scientist The Data Science, Analytics and AI group within Macquarie Asset Management aspires to create a data driven decision making culture and support business growth by advancing our capabilities in analytics and AI. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? You will tackle complex challenges using advanced analytics and agentic AI. Leveraging state of the art AI techniques, you will deliver transformative business impact across our private market investment divisions, including Real Assets, Real Estate, and Credit and Insurance. Example challenges include automating data extraction from unstructured investment documents, building AI agents to streamline portfolio company analysis, creating intelligent systems to support deal screening workflows, and developing tools that augment analyst productivity across asset classes. What you offer 4+ years' experience in Data Science, working for a financial institution and ideally supporting across one or more private asset classes Highly proficient in Python or R, a deep understanding of cloud infrastructure, and hands on experience building and deploying agentic AI workflows Experience with Anthropic Claude API or Google Gemini API strongly preferred and familiarity with Atlassian tools and scrum methodology is advantageous Excellent communication skills, able to translate business requirements into technical solutions and clearly articulate ML and AI approaches to a diverse range of stakeholders Able to thrive within a collaborative, multi disciplinary, cross functional agile scrum team, working alongside engineers, product owners and business stakeholders to deliver complex AI solutions We love hearing from anyone inspired to build a better future with us. If you're excited about the role or working at Macquarie, we encourage you to apply. What we offer At Macquarie, you're empowered to shape a career that's rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include: 1 wellbeing leave day per year and a minimum of 25 days of annual leave. 26 weeks' paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks' paid leave for secondary caregivers Paid fertility leave for those undergoing or supporting fertility treatment 2 days of paid volunteer leave and donation matching Access to a wide range of salary sacrificing options Benefits and initiatives to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription Access to company funded emergency and backup dependent care services Recognition and service awards Hybrid and flexible working arrangements, dependent on role Reimbursement for work from home equipment About Macquarie Asset Management Macquarie Asset Management is a leading global asset manager, trusted by institutions, individuals and communities to responsibly manage $A720 billion in assets. MAM provides clients with a diverse range of investment solutions that seek to deliver superior risk adjusted returns. All figures as at 31 September 2025, excluding assets acquired by Nomura on 1 December 2025. Our commitment to diversity, equity and inclusion We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.
Overview PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants help businesses deliver outstanding customer service that rivals human agents and integrate PolyAI into daily customer service workflows. Responsibilities Building reliable APIs for interacting with the runtime of our Voice Agent deployments. Deploying state-of-the-art speech-to-text, LLMs and text-to-speech models. Taking a major role in software development, through writing code, tests, contributing to design ideas, documents and performing code reviews. Contributing to the implementation of our multi-tenant infrastructure. Requirements 3+ years programming experience in a software engineering role, with strong proficiency in Python Hands-on experience in designing, deploying, and maintaining RESTful APIs Experience with professional software engineering best practices, such as coding standards, code reviews, source control, build processes, and testing Understanding of algorithms, data structures, system design and complexity analysis Bachelor's degree or Master's in Computer Science, Engineering, a relevant technical field or equivalent practical experience Proficiency in verbal and written English communication Teams Runtime: own the global infrastructure that powers real-time voice interactions. You will work at the core of the agentic process - streaming audio, transcribing speech, using LLMs and acting on their output, and synthesising natural voice. You will design and optimize systems across VoIP and WebRTC to deliver low-latency, secure, and reliable conversations. Your work shapes the user experience of every call, driving down response times, improving comprehension, and ensuring we meet strict SLAs for performance and security. Data: play a key role in delivering the next generation of our no-code agent studio platform. You will lead the design and development of features that power insight generation, reporting, and the data-driven backbone of our no-code platform for building voice assistants. Product Engineering: help shape our cutting-edge low-code platform. This role offers the opportunity to work end-to-end, from design to implementation, on features enabling a simple user experience for interacting with complex AI systems. Hiring process You'll go through a centralized hiring process that lets us get to know your skills and preferences, while you explore which team best aligns with your interests and expertise. At the end, we'll match you with the team where you can have the most impact. What we offer We offer competitive compensation based on experience, expertise, and the level of responsibility. This role also includes equity, giving you the opportunity to share in the long-term success of the business. The listed expectations reflect what we are hiring for, so we encourage you to review the job description carefully. Participation in the company's employee share options plan Tenure-Based PTO: 25 holidays on joining, plus 1 additional day after 2 years, then 1 day each year up to 32 holidays Flexible working from home policy Work from outside of the UK for up to 6 months each year TELUS Health EAP 24/7 - confidential support for work, health, or life challenges Annual learning and development allowance One-off WFH allowance to set up a comfortable workspace Company-funded fertility and family-forming programmes Private healthcare and dental cover, gym discounts, and access to mental health programs Sabbatical Program: 5-week paid sabbatical after 5 years of employment Values and inclusion At PolyAI, we take great pride in our values and culture. Our core values are: Only the best: we expect the best from our people and nurture excellence. Ownership: we take responsibility for initiatives, decisions, and outcomes. Relentlessly improve: we continuously evolve to transform the world of conversational AI. Bias for action: we move quickly, take calculated risks, and deliver impact. Disagree and commit: we work toward common goals and commit to decisions when made. Build for people: we aim to create experiences that empower users and support automation. PolyAI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs without regard to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status. Privacy notice Kindly find the Privacy Notice for our recruitment process by following the link here. This document provides information regarding how we handle your personal data throughout the recruitment journey.
Apr 03, 2026
Full time
Overview PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants help businesses deliver outstanding customer service that rivals human agents and integrate PolyAI into daily customer service workflows. Responsibilities Building reliable APIs for interacting with the runtime of our Voice Agent deployments. Deploying state-of-the-art speech-to-text, LLMs and text-to-speech models. Taking a major role in software development, through writing code, tests, contributing to design ideas, documents and performing code reviews. Contributing to the implementation of our multi-tenant infrastructure. Requirements 3+ years programming experience in a software engineering role, with strong proficiency in Python Hands-on experience in designing, deploying, and maintaining RESTful APIs Experience with professional software engineering best practices, such as coding standards, code reviews, source control, build processes, and testing Understanding of algorithms, data structures, system design and complexity analysis Bachelor's degree or Master's in Computer Science, Engineering, a relevant technical field or equivalent practical experience Proficiency in verbal and written English communication Teams Runtime: own the global infrastructure that powers real-time voice interactions. You will work at the core of the agentic process - streaming audio, transcribing speech, using LLMs and acting on their output, and synthesising natural voice. You will design and optimize systems across VoIP and WebRTC to deliver low-latency, secure, and reliable conversations. Your work shapes the user experience of every call, driving down response times, improving comprehension, and ensuring we meet strict SLAs for performance and security. Data: play a key role in delivering the next generation of our no-code agent studio platform. You will lead the design and development of features that power insight generation, reporting, and the data-driven backbone of our no-code platform for building voice assistants. Product Engineering: help shape our cutting-edge low-code platform. This role offers the opportunity to work end-to-end, from design to implementation, on features enabling a simple user experience for interacting with complex AI systems. Hiring process You'll go through a centralized hiring process that lets us get to know your skills and preferences, while you explore which team best aligns with your interests and expertise. At the end, we'll match you with the team where you can have the most impact. What we offer We offer competitive compensation based on experience, expertise, and the level of responsibility. This role also includes equity, giving you the opportunity to share in the long-term success of the business. The listed expectations reflect what we are hiring for, so we encourage you to review the job description carefully. Participation in the company's employee share options plan Tenure-Based PTO: 25 holidays on joining, plus 1 additional day after 2 years, then 1 day each year up to 32 holidays Flexible working from home policy Work from outside of the UK for up to 6 months each year TELUS Health EAP 24/7 - confidential support for work, health, or life challenges Annual learning and development allowance One-off WFH allowance to set up a comfortable workspace Company-funded fertility and family-forming programmes Private healthcare and dental cover, gym discounts, and access to mental health programs Sabbatical Program: 5-week paid sabbatical after 5 years of employment Values and inclusion At PolyAI, we take great pride in our values and culture. Our core values are: Only the best: we expect the best from our people and nurture excellence. Ownership: we take responsibility for initiatives, decisions, and outcomes. Relentlessly improve: we continuously evolve to transform the world of conversational AI. Bias for action: we move quickly, take calculated risks, and deliver impact. Disagree and commit: we work toward common goals and commit to decisions when made. Build for people: we aim to create experiences that empower users and support automation. PolyAI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs without regard to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status. Privacy notice Kindly find the Privacy Notice for our recruitment process by following the link here. This document provides information regarding how we handle your personal data throughout the recruitment journey.
Overview M+C Saatchi World Services are looking for a Data Scientist specialising in NLP. In this role, you will design, build, and scale production grade language systems that transform how our products understand, retrieve, and generate text. You'll work closely with engineering, product, and operational stakeholders to translate business goals into technical solutions, whilst shaping the overall direction of our AI capabilities. This is a full time role, based in London on a hybrid basis (2-3 days per week in the office). About the Role This is an applied, highly technical role focused on leveraging frontier LLM services (OpenAI, Anthropic, etc.) as well as locally deployed models to solve real business problems. You will architect intelligent systems, implement robust NLP pipelines, and deploy solutions that are reliable, secure, and performant at scale. You'll work closely with engineering, product, and operational stakeholders to translate business goals into technical solutions, whilst shaping the overall direction of our AI capabilities. What you'll do: Design and build LLM powered applications using third party APIs (OpenAI, Anthropic, etc.). Develop RAG (retrieval augmented generation) systems including document ingestion, chunking strategies, and vector search infrastructure. Implement advanced prompt engineering patterns, evaluation frameworks, and output reliability mechanisms. Build NLP pipelines for text classification, entity extraction, semantic search, summarisation, and document understanding. Develop agentic workflows and tool use systems for complex multi step tasks. Optimise for cost, latency, reliability, and model selection across LLM providers and configurations. Collaborate with product and engineering teams to translate business requirements into robust technical solutions. Build monitoring, observability, and evaluation systems for LLM applications in production. About You What you bring (knowledge, expertise, experience, and skills): Solid experience in applied NLP or machine learning roles. Strong proficiency in Python and experience building production systems. Hands on experience with LLM APIs (OpenAI, Anthropic, or similar). Experience building RAG systems including loaders, text splitting, embedding models, and vector stores. Solid understanding of NLP fundamentals: embeddings, semantic similarity, text classification, and evaluation. Experience with prompt engineering and structured output parsing. Strong software engineering fundamentals: version control, testing, code review, documentation. Experience with cloud infrastructure (AWS preferred). Desirable: Experience with LLM orchestration frameworks (LangChain, LlamaIndex, etc.). Background working with vector databases (Pinecone, Weaviate, pgvector, Chroma). Experience building agentic LLM workflows (tool calling, function calling, multi step reasoning). Familiarity with LLM evaluation and observability tools (LangSmith, Weights & Biases, etc.). Experience fine tuning API based models or working with embedding models. Understanding of cost optimisation strategies across providers and model tiers. What You Get A competitive salary and benefits package that includes 27 days holiday per year, pension contributions, private healthcare, discounted dental insurance, enhanced maternity/parental leave, plus a whole host of others including: Cultural stimulation allowance - £250 per person per year Half days off before bank holidays Emergency care days for dependants Up to 5 days volunteering leave per year to work for a registered charity Up to 10 days special emergency leave per year Season Ticket loan Payroll Giving Scheme Thursday drinks to unwind and socialize An annual Summer and Christmas party Our commitment to Diversity and Inclusion sees us offer inclusive bank holidays We also offer learning opportunities around D&I, targeted mentoring programmes and the opportunity to participate in several active Employee Led Networks and associated events. Finally, this role will be supported with all the necessary personal development required to set someone up for success. About M+C Saatchi World Services M+C Saatchi World Services is a specialist division of M+C Saatchi Group, the world's largest independent communications network. Our specialists work in office hubs across six continents, grounding our global expertise in local nuance. We offer award-winning commercial communications capabilities, which are utilized by global organizations to address the world's most complex problems across defence, development, diplomacy, homeland and national security, law and order, health, education, and the environment. We work with clients that want to help the hardest-to-reach, hardest-to-influence audiences. This includes a range of Western Government departments, such as DOS and USAID; partner governments, including the U.K. and Australia; and prominent IGOs/NGOs such as the U.N. We are a comms agency that works on behaviour change projects typically focused on issues related to Security, Defence and Stabilization. Whether it's producing critically acclaimed feature films in Africa, to TV shows in the Middle East, to pop music videos in Asia, we have a record of leveraging creativity to access communities anywhere in the world.
Apr 03, 2026
Full time
Overview M+C Saatchi World Services are looking for a Data Scientist specialising in NLP. In this role, you will design, build, and scale production grade language systems that transform how our products understand, retrieve, and generate text. You'll work closely with engineering, product, and operational stakeholders to translate business goals into technical solutions, whilst shaping the overall direction of our AI capabilities. This is a full time role, based in London on a hybrid basis (2-3 days per week in the office). About the Role This is an applied, highly technical role focused on leveraging frontier LLM services (OpenAI, Anthropic, etc.) as well as locally deployed models to solve real business problems. You will architect intelligent systems, implement robust NLP pipelines, and deploy solutions that are reliable, secure, and performant at scale. You'll work closely with engineering, product, and operational stakeholders to translate business goals into technical solutions, whilst shaping the overall direction of our AI capabilities. What you'll do: Design and build LLM powered applications using third party APIs (OpenAI, Anthropic, etc.). Develop RAG (retrieval augmented generation) systems including document ingestion, chunking strategies, and vector search infrastructure. Implement advanced prompt engineering patterns, evaluation frameworks, and output reliability mechanisms. Build NLP pipelines for text classification, entity extraction, semantic search, summarisation, and document understanding. Develop agentic workflows and tool use systems for complex multi step tasks. Optimise for cost, latency, reliability, and model selection across LLM providers and configurations. Collaborate with product and engineering teams to translate business requirements into robust technical solutions. Build monitoring, observability, and evaluation systems for LLM applications in production. About You What you bring (knowledge, expertise, experience, and skills): Solid experience in applied NLP or machine learning roles. Strong proficiency in Python and experience building production systems. Hands on experience with LLM APIs (OpenAI, Anthropic, or similar). Experience building RAG systems including loaders, text splitting, embedding models, and vector stores. Solid understanding of NLP fundamentals: embeddings, semantic similarity, text classification, and evaluation. Experience with prompt engineering and structured output parsing. Strong software engineering fundamentals: version control, testing, code review, documentation. Experience with cloud infrastructure (AWS preferred). Desirable: Experience with LLM orchestration frameworks (LangChain, LlamaIndex, etc.). Background working with vector databases (Pinecone, Weaviate, pgvector, Chroma). Experience building agentic LLM workflows (tool calling, function calling, multi step reasoning). Familiarity with LLM evaluation and observability tools (LangSmith, Weights & Biases, etc.). Experience fine tuning API based models or working with embedding models. Understanding of cost optimisation strategies across providers and model tiers. What You Get A competitive salary and benefits package that includes 27 days holiday per year, pension contributions, private healthcare, discounted dental insurance, enhanced maternity/parental leave, plus a whole host of others including: Cultural stimulation allowance - £250 per person per year Half days off before bank holidays Emergency care days for dependants Up to 5 days volunteering leave per year to work for a registered charity Up to 10 days special emergency leave per year Season Ticket loan Payroll Giving Scheme Thursday drinks to unwind and socialize An annual Summer and Christmas party Our commitment to Diversity and Inclusion sees us offer inclusive bank holidays We also offer learning opportunities around D&I, targeted mentoring programmes and the opportunity to participate in several active Employee Led Networks and associated events. Finally, this role will be supported with all the necessary personal development required to set someone up for success. About M+C Saatchi World Services M+C Saatchi World Services is a specialist division of M+C Saatchi Group, the world's largest independent communications network. Our specialists work in office hubs across six continents, grounding our global expertise in local nuance. We offer award-winning commercial communications capabilities, which are utilized by global organizations to address the world's most complex problems across defence, development, diplomacy, homeland and national security, law and order, health, education, and the environment. We work with clients that want to help the hardest-to-reach, hardest-to-influence audiences. This includes a range of Western Government departments, such as DOS and USAID; partner governments, including the U.K. and Australia; and prominent IGOs/NGOs such as the U.N. We are a comms agency that works on behaviour change projects typically focused on issues related to Security, Defence and Stabilization. Whether it's producing critically acclaimed feature films in Africa, to TV shows in the Middle East, to pop music videos in Asia, we have a record of leveraging creativity to access communities anywhere in the world.
Advance Systems International
Birmingham, Staffordshire
Join OneAdvanced Our IT Managed Services business enables customers to innovate, transform, and seize new opportunities. The Technical Operations function underpins this mission by delivering enterprise-grade, 24x7x365 technical support to mid-market clients across both public and private sectors. The Technical Operations team is integral to our ITIL v4-aligned service model, which leverages ServiceNow automation and agentic AI. We deliver a centralised, knowledge-driven shared service-engineered for speed, consistency, and technical excellence through systemised quality control and accessible, authoritative knowledge. What You Will Do Act as the named operational technical lead for a group of customers, building trust and maintaining deep familiarity with their estates, including critical infrastructure, key business services, and their interdependencies. Support ServiceNow CMDB data quality by advising on configuration item grouping, in alignment with the CSDM. Ensure estates are accurately mapped to support lifecycle awareness, operational planning, and service continuity. Routinely consult with pre-sales and account management about CIs approaching end of life and update risk registers as necessary. Maintain proactive engagement with internal delivery teams to ensure customer context is understood and reflected in the resolution of technical issues and service activity to drive service excellence and continuous improvement. Lead operational input into Change processes, representing customers in the Change Advisory Board (CAB) and ensuring changes are well-governed and documented. Contribute to root cause investigations and support Major Incident processes, working closely with ITIL-aligned functions. Ensure post-incident reviews for P1 and P2 incidents are completed with operational insight, and that customer-facing summaries are validated with estate-specific context. Provide technical governance and oversight in the review of security and penetration test findings, collaborating with relevant teams to assess risk, prioritise remediation, and define actionable next steps aligned with security best practices and customer-specific requirements. Act as the technical operations representative in customer service reviews, taking ownership of follow-up actions while effectively delegating execution and maintaining accountability for outcomes. Be an advisor to internal teams on the operational documentation required to support customer estates-ensuring that expectations around content, accuracy, and availability are clearly communicated and aligned with service needs. Provide customer context to governance reports generated by other teams. What You Will Have Exceptional communication skills-both verbal and written-with the ability to engage effectively at all levels of the organisation and articulate messages for diverse audiences. A proactive and disciplined mindset-self-motivated, resilient, and consistently focused on delivering high-quality outcomes. Strong expertise in Microsoft Active Directory domains and Azure environments. Experience with virtualisation technologies, particularly VMware vSphere and ESX. Solid understanding of networking principles and security best practices. Proven ability to resolve complex, cross-functional incidents involving infrastructure, cloud platforms, and modern workplace services. Working knowledge of ITIL processes, including Incident, Problem, Change, and Configuration Management (CMDB). Advanced analytical skills, with the ability to interpret and act on reports across technical and operational domains from multiple data sources. Experience in the following areas is advantageous: Familiarity with generative and agentic AI technologies, and their effective application in technical environments. Experience working within a shared services model, supporting multiple clients across various sectors. Skills in automation and scripting, with a focus on developing repeatable deployment processes using tools such as PowerShell. What We Do For You Wellbeing that means something 26 days' holiday + bank holidays (and the option to buy more) plus 1 paid volunteering day every year Exceptional family leave, 26 weeks fully paid maternity/adoption, 4 weeks fully paid paternity, 22 weeks fully paid shared parental leave, plus 5 days paid bereavement leave Robust sick pay of up to 13 weeks full pay + 13 weeks half pay 24/7 Employee Assistance Programme for confidential support Private medical insurance for everyone, no medical-history exclusions Financial benefits that have your back Performance-based rewards tailored to your role, from company-wide bonuses to OTE and commission structures Income protection: up to 75% salary for 5 years if you ever need it Grow your career with us SkillsHub learning platform with leadership pathways, future-manager training, and a huge online library Access to external training and apprenticeships Making a Difference MatchIt!Fundraise for a cause close to your heart and OneAdvanced will match part of the funding Pennies from Heavendonate the pennies from your pay check to help make a difference without lifting a finger Plus plenty other flexible benefits to suit your lifestyle on our RewardHub, including: ULEV car scheme with 1,000+ models Dental insurance, Health Cash Plan, Critical Illness Cover, Partner Life Cover Who We Are At OneAdvanced, we are at the forefront of delivering sector-focused technology solutions that simplify complexity, drive meaningful progress, and help build a fairer, more inclusive society. We're much more than a software company. We deliver SaaS workflow applications and IT services that power organisations across Education, Government, Healthcare, Legal, Manufacturing, Housing, Retail, and more. OneAdvanced is one of the UK's largest business software and services companies. Based in Birmingham (The Mailbox), operating across the UK, Ireland, India, and Australia. Our secure, scalable platform, including OneAdvanced AI, our private AI service for UK organisations, powers connectivity and innovation across critical sectors. Alongside our software are our IT services, including hosting, managed services, and application modernisation. We strive to create an inclusive workplace that drives innovation and collaboration, championing diverse perspectives and ideas. Our Environmental, Social and Governance (ESG) strategy is embedded in everything we do, guiding us to create meaningful impact for our people, our customers and the planet. Join us and become part of a team that's powering the world of work and making a real difference. Learn more at
Apr 03, 2026
Full time
Join OneAdvanced Our IT Managed Services business enables customers to innovate, transform, and seize new opportunities. The Technical Operations function underpins this mission by delivering enterprise-grade, 24x7x365 technical support to mid-market clients across both public and private sectors. The Technical Operations team is integral to our ITIL v4-aligned service model, which leverages ServiceNow automation and agentic AI. We deliver a centralised, knowledge-driven shared service-engineered for speed, consistency, and technical excellence through systemised quality control and accessible, authoritative knowledge. What You Will Do Act as the named operational technical lead for a group of customers, building trust and maintaining deep familiarity with their estates, including critical infrastructure, key business services, and their interdependencies. Support ServiceNow CMDB data quality by advising on configuration item grouping, in alignment with the CSDM. Ensure estates are accurately mapped to support lifecycle awareness, operational planning, and service continuity. Routinely consult with pre-sales and account management about CIs approaching end of life and update risk registers as necessary. Maintain proactive engagement with internal delivery teams to ensure customer context is understood and reflected in the resolution of technical issues and service activity to drive service excellence and continuous improvement. Lead operational input into Change processes, representing customers in the Change Advisory Board (CAB) and ensuring changes are well-governed and documented. Contribute to root cause investigations and support Major Incident processes, working closely with ITIL-aligned functions. Ensure post-incident reviews for P1 and P2 incidents are completed with operational insight, and that customer-facing summaries are validated with estate-specific context. Provide technical governance and oversight in the review of security and penetration test findings, collaborating with relevant teams to assess risk, prioritise remediation, and define actionable next steps aligned with security best practices and customer-specific requirements. Act as the technical operations representative in customer service reviews, taking ownership of follow-up actions while effectively delegating execution and maintaining accountability for outcomes. Be an advisor to internal teams on the operational documentation required to support customer estates-ensuring that expectations around content, accuracy, and availability are clearly communicated and aligned with service needs. Provide customer context to governance reports generated by other teams. What You Will Have Exceptional communication skills-both verbal and written-with the ability to engage effectively at all levels of the organisation and articulate messages for diverse audiences. A proactive and disciplined mindset-self-motivated, resilient, and consistently focused on delivering high-quality outcomes. Strong expertise in Microsoft Active Directory domains and Azure environments. Experience with virtualisation technologies, particularly VMware vSphere and ESX. Solid understanding of networking principles and security best practices. Proven ability to resolve complex, cross-functional incidents involving infrastructure, cloud platforms, and modern workplace services. Working knowledge of ITIL processes, including Incident, Problem, Change, and Configuration Management (CMDB). Advanced analytical skills, with the ability to interpret and act on reports across technical and operational domains from multiple data sources. Experience in the following areas is advantageous: Familiarity with generative and agentic AI technologies, and their effective application in technical environments. Experience working within a shared services model, supporting multiple clients across various sectors. Skills in automation and scripting, with a focus on developing repeatable deployment processes using tools such as PowerShell. What We Do For You Wellbeing that means something 26 days' holiday + bank holidays (and the option to buy more) plus 1 paid volunteering day every year Exceptional family leave, 26 weeks fully paid maternity/adoption, 4 weeks fully paid paternity, 22 weeks fully paid shared parental leave, plus 5 days paid bereavement leave Robust sick pay of up to 13 weeks full pay + 13 weeks half pay 24/7 Employee Assistance Programme for confidential support Private medical insurance for everyone, no medical-history exclusions Financial benefits that have your back Performance-based rewards tailored to your role, from company-wide bonuses to OTE and commission structures Income protection: up to 75% salary for 5 years if you ever need it Grow your career with us SkillsHub learning platform with leadership pathways, future-manager training, and a huge online library Access to external training and apprenticeships Making a Difference MatchIt!Fundraise for a cause close to your heart and OneAdvanced will match part of the funding Pennies from Heavendonate the pennies from your pay check to help make a difference without lifting a finger Plus plenty other flexible benefits to suit your lifestyle on our RewardHub, including: ULEV car scheme with 1,000+ models Dental insurance, Health Cash Plan, Critical Illness Cover, Partner Life Cover Who We Are At OneAdvanced, we are at the forefront of delivering sector-focused technology solutions that simplify complexity, drive meaningful progress, and help build a fairer, more inclusive society. We're much more than a software company. We deliver SaaS workflow applications and IT services that power organisations across Education, Government, Healthcare, Legal, Manufacturing, Housing, Retail, and more. OneAdvanced is one of the UK's largest business software and services companies. Based in Birmingham (The Mailbox), operating across the UK, Ireland, India, and Australia. Our secure, scalable platform, including OneAdvanced AI, our private AI service for UK organisations, powers connectivity and innovation across critical sectors. Alongside our software are our IT services, including hosting, managed services, and application modernisation. We strive to create an inclusive workplace that drives innovation and collaboration, championing diverse perspectives and ideas. Our Environmental, Social and Governance (ESG) strategy is embedded in everything we do, guiding us to create meaningful impact for our people, our customers and the planet. Join us and become part of a team that's powering the world of work and making a real difference. Learn more at
# Temporary Telesales Executive - April start UniHomes Temporary Telesales Executive - April start Sheffield City Centre £24,250 + Uncapped Commission Fixed-term to Sept 2026 UniHomes is hiring April starters to join our B2C telesales team for the upcoming summer season. This role is ideal for graduates, final year students finishing their studies, or anyone looking for a structured, paid role while they figure out their next step. If you're staying in Sheffield from April and want full time hours, guaranteed pay and commission on top, this is a terrific opportunity to gain commercial experience in a friendly, supportive office environment. This is a telesales role, so you'll spend much of your day on the phone speaking to students about their utilities setup for the coming academic year. You'll be making a high volume of calls, so confidence, resilience, the ability to build rapport quickly, and a positive attitude are important. You'll be speaking to students dealing with shared houses, housemates, broadband and bills - so being able to relate to their situation really helps. You might even be a UniHomes customer yourself. Key responsibilities: Speaking with students to understand their needs and help them get set up with the right broadband and utilities package. Confidently guiding students through their options and recommending what works best for their household. Creating positive, engaging conversations that leave students feeling supported and informed. Supporting the wider B2C team with ad hoc tasks and campaigns as required. Providing a friendly, clear, and professional experience on every call. Working towards individual and team targets in a supportive team environment. This role is a great fit if you: Are a graduate or a student already finished for the year and looking for full-time work until September. Can relate to students and build rapport quickly. Want full time work from April, not shift work. Are motivated by targets and commission. Are happy speaking to people on the phone all day. Want a paid, structured role rather than casual work.At UniHomes, we're on a mission to transform the entire student rental experience across the UK. As the market-leading student accommodation advertising platform and utility management service provider, we make finding and securing all-inclusive student accommodation simple, seamless, and stress-free. We're not just another platform. UniHomes is developing innovative technology to deliver one go-to destination that supports the entire student rental journey. With an unwavering focus on our students, partner letting agents, operators and suppliers, we continually evolve and enhance our products and services to exceed expectations, while tackling market complexity with ease and transparency. Since launching in 2015, we've experienced rapid growth. Today, we operate in 60+ cities, partner with 1,000+ agents and operators, and are backed by Macquarie Capital and LDC. Our success has been recognised with accolades from EY Entrepreneur of the Year, Deloitte UK Technology Fast 50, The Negotiator Awards, and Great Place to Work(R) certification. Our 140+ strong team is based in the heart of Sheffield City Centre, where we're driving innovation, expanding into new markets, and fostering a culture built on collaboration, creativity, and growth. If you're ready to make a meaningful impact and help redefine how students find their perfect home, now is the time to join UniHomes. Be part of a team that's opening new doors to better experiences, brighter ideas, and stress-free living. We are a team driven and united by our core values: Lead the Way In it Together Customers Matter Keep it Simple Rise Above Challenges Make it Happen With people and culture at the heart of our organisation, we are continually enhancing our employee offer and culture. We are incredibly proud to have been officially certified as a Great Place to Work(R)(GPTW(R) and an accredited Living Wage employer - all our employees earn a fair living wage above the government minimum wage.Working in our stunning new office at New Era Square in the centre of Sheffield, you will get complimentary breakfast, hot & cold drinks, snacks, pool table, holidays, length of service days, voluntary day, enhanced pension scheme, pension salary sacrifice scheme, healthcare scheme, Employee Assistant Programme, sick pay, enhanced maternity & paternity pay, career progression, a commitment to personal and professional development, employee of the month award, refer a friend scheme, staff discounts, mental health and financial support, and company social events.At UniHomes we are committed to fostering an inclusive and diverse workplace where everyone can thrive and which values individuals for their unique perspectives. We welcome candidates from all backgrounds, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.Please let us know if you require any reasonable adjustments to make the recruitment process more accessible to you.Applicants for permanent roles must already have the permanent and unrestricted right to work in the UK. Unfortunately, we are unable to offer visa sponsorship as we do not hold a sponsor licence.We want to hear your unique voice in your application. We love AI, but relying on it solely to write your cover letter and answer the application questions is a missed opportunity to showcase the originality and personality that will make you stand out. Please show us the real you.We do not accept CV submissions from recruitment agencies. Direct applications from individual candidates are encouraged. Thank you for your understanding.Salary Salary: £24,250 - £35,000Type Full TimeLocation Sheffield This site requires JavaScript to be enabled. JavaScript is used on this site to improve user experience and enable functionality without JavaScript this site wont work as required Once JavaScript is enabled, this message will be removed.
Apr 03, 2026
Full time
# Temporary Telesales Executive - April start UniHomes Temporary Telesales Executive - April start Sheffield City Centre £24,250 + Uncapped Commission Fixed-term to Sept 2026 UniHomes is hiring April starters to join our B2C telesales team for the upcoming summer season. This role is ideal for graduates, final year students finishing their studies, or anyone looking for a structured, paid role while they figure out their next step. If you're staying in Sheffield from April and want full time hours, guaranteed pay and commission on top, this is a terrific opportunity to gain commercial experience in a friendly, supportive office environment. This is a telesales role, so you'll spend much of your day on the phone speaking to students about their utilities setup for the coming academic year. You'll be making a high volume of calls, so confidence, resilience, the ability to build rapport quickly, and a positive attitude are important. You'll be speaking to students dealing with shared houses, housemates, broadband and bills - so being able to relate to their situation really helps. You might even be a UniHomes customer yourself. Key responsibilities: Speaking with students to understand their needs and help them get set up with the right broadband and utilities package. Confidently guiding students through their options and recommending what works best for their household. Creating positive, engaging conversations that leave students feeling supported and informed. Supporting the wider B2C team with ad hoc tasks and campaigns as required. Providing a friendly, clear, and professional experience on every call. Working towards individual and team targets in a supportive team environment. This role is a great fit if you: Are a graduate or a student already finished for the year and looking for full-time work until September. Can relate to students and build rapport quickly. Want full time work from April, not shift work. Are motivated by targets and commission. Are happy speaking to people on the phone all day. Want a paid, structured role rather than casual work.At UniHomes, we're on a mission to transform the entire student rental experience across the UK. As the market-leading student accommodation advertising platform and utility management service provider, we make finding and securing all-inclusive student accommodation simple, seamless, and stress-free. We're not just another platform. UniHomes is developing innovative technology to deliver one go-to destination that supports the entire student rental journey. With an unwavering focus on our students, partner letting agents, operators and suppliers, we continually evolve and enhance our products and services to exceed expectations, while tackling market complexity with ease and transparency. Since launching in 2015, we've experienced rapid growth. Today, we operate in 60+ cities, partner with 1,000+ agents and operators, and are backed by Macquarie Capital and LDC. Our success has been recognised with accolades from EY Entrepreneur of the Year, Deloitte UK Technology Fast 50, The Negotiator Awards, and Great Place to Work(R) certification. Our 140+ strong team is based in the heart of Sheffield City Centre, where we're driving innovation, expanding into new markets, and fostering a culture built on collaboration, creativity, and growth. If you're ready to make a meaningful impact and help redefine how students find their perfect home, now is the time to join UniHomes. Be part of a team that's opening new doors to better experiences, brighter ideas, and stress-free living. We are a team driven and united by our core values: Lead the Way In it Together Customers Matter Keep it Simple Rise Above Challenges Make it Happen With people and culture at the heart of our organisation, we are continually enhancing our employee offer and culture. We are incredibly proud to have been officially certified as a Great Place to Work(R)(GPTW(R) and an accredited Living Wage employer - all our employees earn a fair living wage above the government minimum wage.Working in our stunning new office at New Era Square in the centre of Sheffield, you will get complimentary breakfast, hot & cold drinks, snacks, pool table, holidays, length of service days, voluntary day, enhanced pension scheme, pension salary sacrifice scheme, healthcare scheme, Employee Assistant Programme, sick pay, enhanced maternity & paternity pay, career progression, a commitment to personal and professional development, employee of the month award, refer a friend scheme, staff discounts, mental health and financial support, and company social events.At UniHomes we are committed to fostering an inclusive and diverse workplace where everyone can thrive and which values individuals for their unique perspectives. We welcome candidates from all backgrounds, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.Please let us know if you require any reasonable adjustments to make the recruitment process more accessible to you.Applicants for permanent roles must already have the permanent and unrestricted right to work in the UK. Unfortunately, we are unable to offer visa sponsorship as we do not hold a sponsor licence.We want to hear your unique voice in your application. We love AI, but relying on it solely to write your cover letter and answer the application questions is a missed opportunity to showcase the originality and personality that will make you stand out. Please show us the real you.We do not accept CV submissions from recruitment agencies. Direct applications from individual candidates are encouraged. Thank you for your understanding.Salary Salary: £24,250 - £35,000Type Full TimeLocation Sheffield This site requires JavaScript to be enabled. JavaScript is used on this site to improve user experience and enable functionality without JavaScript this site wont work as required Once JavaScript is enabled, this message will be removed.
Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As an Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6-8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications Bachelor's degree in computer science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; or equivalent professional experience as a software/ML engineer. 2+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 1+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. 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 $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit 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 get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. 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. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . 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 (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service 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 in respect of the vacancies posted on this site. 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. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit
Apr 03, 2026
Full time
Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As an Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6-8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications Bachelor's degree in computer science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; or equivalent professional experience as a software/ML engineer. 2+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 1+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. 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 $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit 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 get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. 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. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . 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 (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service 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 in respect of the vacancies posted on this site. 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. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to team Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Price is a key factor influencing traveler's path to driving a choice leading to a purchase. In a world of infinite paths to purchase, travelers make multiple searches and find the 'best trip' and 'best deal'. The Offers Domain team is tasked with giving the customer a simple, clear, accurate, transparent pricing throughout their shopping and booking journeys. We do this by putting the customer first, creating capabilities that can be shared and presented to the customer that meet the travelers' expectations in locally relevant ways and adhere to regulatory norms. This is a great opportunity for you to play a pivotal role in shaping our technical domain with the goal of powering all Expedia Group's brands and product lines. In this role, you will: Design and implement scalable, robust, and maintainable systems and services across multiple domains, with a focus on reliability and performance. Develop complex application logic, APIs, and data models aligned to business goals and best engineering practices. Collaborate with cross-functional teams to deliver high-quality, full-stack solutions that integrate seamlessly across platforms. Lead technical efforts in system architecture, code reviews, and establishing engineering standards. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, ensuring responsible use of advanced technologies. Proactively identify, diagnose, and resolve production issues, continuously improving system health and operational excellence. Minimum Qualifications: Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience. 5+ years of relevant professional experience. Strong software engineering fundamentals-data structures, and algorithms in Java or Kotlin, with familiarity across the JVM stack, system design, and distributed systems-and can understand highly complex systems, design moderately complex services, and guide integrations across teams within the business unit. Building and operating high performance, highly available backend services in public/hybrid cloud environments (Kotlin strongly preferred). Demonstrated experience leading engineering efforts for services operating at scale in a cloud environment (preferably AWS), including deploying and operating services using platform tooling and/or infrastructure as code. Hands-on experience designing, building, and operating large-scale, distributed systems and services. Strong proficiency in system design, API design, and data modeling. Experience using modern AI assisted development tools (for example, IDE assistants, chat based coding agents, or AI augmented code review/testing tools) as part of your daily workflow, beyond simple code autocompletion, and are comfortable working in an AI integrated environment. Preferred Qualifications: Experience with container technologies (such as Kubernetes) and CI/CD tools or processes. Expertise in architecting end-to-end solutions integrating multiple systems or domains. Strong focus on operational excellence, including monitoring, automation, and incident response. Data-driven approach to problem solving and technical decision making, including leveraging AI/ML insights where appropriate. Deep knowledge of safely integrating AI/ML features into production systems and optimizing their impact at scale. On-Call Requirement This position requires the employee to be on-call outside of regular working hours. On-call duties encompass: Responding to emergencies or incidents as they arise Providing prompt support and solutions Participating in on-call rotations, including nights, weekends, and bank holidays Remaining reachable by phone or other communication methods at all times during on-call periods Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Apr 03, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to team Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Price is a key factor influencing traveler's path to driving a choice leading to a purchase. In a world of infinite paths to purchase, travelers make multiple searches and find the 'best trip' and 'best deal'. The Offers Domain team is tasked with giving the customer a simple, clear, accurate, transparent pricing throughout their shopping and booking journeys. We do this by putting the customer first, creating capabilities that can be shared and presented to the customer that meet the travelers' expectations in locally relevant ways and adhere to regulatory norms. This is a great opportunity for you to play a pivotal role in shaping our technical domain with the goal of powering all Expedia Group's brands and product lines. In this role, you will: Design and implement scalable, robust, and maintainable systems and services across multiple domains, with a focus on reliability and performance. Develop complex application logic, APIs, and data models aligned to business goals and best engineering practices. Collaborate with cross-functional teams to deliver high-quality, full-stack solutions that integrate seamlessly across platforms. Lead technical efforts in system architecture, code reviews, and establishing engineering standards. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, ensuring responsible use of advanced technologies. Proactively identify, diagnose, and resolve production issues, continuously improving system health and operational excellence. Minimum Qualifications: Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience. 5+ years of relevant professional experience. Strong software engineering fundamentals-data structures, and algorithms in Java or Kotlin, with familiarity across the JVM stack, system design, and distributed systems-and can understand highly complex systems, design moderately complex services, and guide integrations across teams within the business unit. Building and operating high performance, highly available backend services in public/hybrid cloud environments (Kotlin strongly preferred). Demonstrated experience leading engineering efforts for services operating at scale in a cloud environment (preferably AWS), including deploying and operating services using platform tooling and/or infrastructure as code. Hands-on experience designing, building, and operating large-scale, distributed systems and services. Strong proficiency in system design, API design, and data modeling. Experience using modern AI assisted development tools (for example, IDE assistants, chat based coding agents, or AI augmented code review/testing tools) as part of your daily workflow, beyond simple code autocompletion, and are comfortable working in an AI integrated environment. Preferred Qualifications: Experience with container technologies (such as Kubernetes) and CI/CD tools or processes. Expertise in architecting end-to-end solutions integrating multiple systems or domains. Strong focus on operational excellence, including monitoring, automation, and incident response. Data-driven approach to problem solving and technical decision making, including leveraging AI/ML insights where appropriate. Deep knowledge of safely integrating AI/ML features into production systems and optimizing their impact at scale. On-Call Requirement This position requires the employee to be on-call outside of regular working hours. On-call duties encompass: Responding to emergencies or incidents as they arise Providing prompt support and solutions Participating in on-call rotations, including nights, weekends, and bank holidays Remaining reachable by phone or other communication methods at all times during on-call periods Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role: As an Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved processes. Key Responsibilities: Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications: Bachelor's degree in computer science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 2+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 1+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications: Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. 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 $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit 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 get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. 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. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . 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 (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service 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 in respect of the vacancies posted on this site. 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. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at . click apply for full job details
Apr 03, 2026
Full time
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role: As an Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved processes. Key Responsibilities: Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications: Bachelor's degree in computer science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 2+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 1+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications: Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. 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 $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit 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 get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. 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. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . 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 (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service 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 in respect of the vacancies posted on this site. 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. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at . click apply for full job details
Senior Front-End Developer (React, TypeScript) - VP, FX Options Pricing Senior Front-End Developer (React, TypeScript) - VP, FX Options Pricing Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The Opportunity We are seeking a highly skilled and motivated Senior Front-End Developer to join a critical greenfield program focused on transforming our electronic FX Options Trading business. This is a multi-year, high-profile project to modernize and scale our platform, offering a unique opportunity for you to make a significant and lasting impact. You will be at the forefront of building the next generation of trading technology. What You'll Do Design and Build:Take a leading role in the design and development of a state-of-the-art electronic FX Options Trading Platform. Your focus areas will include: RFQ (Request for Quote) workflows for clients and sales-to-trader interactions. Real-time, streaming pricing engines and displays. Volatility Surface and other complex market data management tools. A comprehensive workbench for Structured Product Pricing. Collaborate:Work in a tight-knit, global team alongside developers, quants, and traders to translate complex business requirements into robust, elegant technical solutions. Innovate:Leverage your deep expertise in TypeScript and React to build high-performance, scalable, and intuitive web UIs that provide an exceptional user experience. Improve:Champion and contribute to the continuous improvement of our development, deployment (CI/CD), and testing processes to ensure quality and efficiency. Mentor:Share your knowledge, guide, and mentor other developers, fostering a collaborative and innovative team culture where everyone can grow. Essential Skills & Experience Front-End Expertise:Advanced, hands-on experience in UI/UX development usingReact and TypeScript. (Professional experience with Angular or Vue.js would also be considered). Inter-Application Communication:Solid understanding of building applications that handle real-time data, using technologies likeREST APIs, WebSockets, or middleware (e.g., Solace, Kafka, TIBCO). Engineering Excellence:Proficiency in modern software engineering practices, includingCI/CD, automated testing, application resiliency, performance profiling, and telemetry. Desirable Skills (Nice to Have) Interest or experience in leveraging agentic AI development tools to accelerate and improve workflows (e.g., GitHub Copilot, Cursor, Devin). Familiarity with desktop container frameworks such asOpenFinor interoperability libraries. Back-end development experience inJava, C#/.NET, or Python. Knowledge of containerization and orchestration withKubernetes. While prior experience in finance is a plus, a strong passion for technology and complex problem-solving is what truly matters. Our Culture Agile & Collaborative:We thrive in a dynamic environment that values curiosity, ownership, and a drive for continuous improvement. Transparent Communication:We believe in challenging ideas respectfully and maintaining open, honest communication across all levels of the team. Iterative Delivery:We focus on delivering high-quality, impactful solutions iteratively, learning and adapting as we go. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit our About Us Culture, Values & Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Apr 03, 2026
Full time
Senior Front-End Developer (React, TypeScript) - VP, FX Options Pricing Senior Front-End Developer (React, TypeScript) - VP, FX Options Pricing Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The Opportunity We are seeking a highly skilled and motivated Senior Front-End Developer to join a critical greenfield program focused on transforming our electronic FX Options Trading business. This is a multi-year, high-profile project to modernize and scale our platform, offering a unique opportunity for you to make a significant and lasting impact. You will be at the forefront of building the next generation of trading technology. What You'll Do Design and Build:Take a leading role in the design and development of a state-of-the-art electronic FX Options Trading Platform. Your focus areas will include: RFQ (Request for Quote) workflows for clients and sales-to-trader interactions. Real-time, streaming pricing engines and displays. Volatility Surface and other complex market data management tools. A comprehensive workbench for Structured Product Pricing. Collaborate:Work in a tight-knit, global team alongside developers, quants, and traders to translate complex business requirements into robust, elegant technical solutions. Innovate:Leverage your deep expertise in TypeScript and React to build high-performance, scalable, and intuitive web UIs that provide an exceptional user experience. Improve:Champion and contribute to the continuous improvement of our development, deployment (CI/CD), and testing processes to ensure quality and efficiency. Mentor:Share your knowledge, guide, and mentor other developers, fostering a collaborative and innovative team culture where everyone can grow. Essential Skills & Experience Front-End Expertise:Advanced, hands-on experience in UI/UX development usingReact and TypeScript. (Professional experience with Angular or Vue.js would also be considered). Inter-Application Communication:Solid understanding of building applications that handle real-time data, using technologies likeREST APIs, WebSockets, or middleware (e.g., Solace, Kafka, TIBCO). Engineering Excellence:Proficiency in modern software engineering practices, includingCI/CD, automated testing, application resiliency, performance profiling, and telemetry. Desirable Skills (Nice to Have) Interest or experience in leveraging agentic AI development tools to accelerate and improve workflows (e.g., GitHub Copilot, Cursor, Devin). Familiarity with desktop container frameworks such asOpenFinor interoperability libraries. Back-end development experience inJava, C#/.NET, or Python. Knowledge of containerization and orchestration withKubernetes. While prior experience in finance is a plus, a strong passion for technology and complex problem-solving is what truly matters. Our Culture Agile & Collaborative:We thrive in a dynamic environment that values curiosity, ownership, and a drive for continuous improvement. Transparent Communication:We believe in challenging ideas respectfully and maintaining open, honest communication across all levels of the team. Iterative Delivery:We focus on delivering high-quality, impactful solutions iteratively, learning and adapting as we go. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit our About Us Culture, Values & Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Head of Data Systems and AI (Salesforce SaaS) - £67,000 - Flexible Location (Remote Available) The Opportunity Yolk Recruitment Public Sector & Not-for-Profit team are supporting a very unique charity that empowers not-for-profits to care for some of the most vulnerable members of our society in some very novel ways. They are looking for a Head of Data Systems and AI to take operational management of the charities data systems, data team and AI enabled tools ensuring effective leadership, performance and development. What the Head of Data Systems and AI will be doing You will be responsible for managing a portfolio of data projects whilst line managing the data team - ensuring the data systems meet the needs of the wider organisation and select third parties. Lead the day-to-day performance, development and continuous improvement of the data and AI systems Translate the organisational strategies into clear roadmaps and delivery plans Ensure systems are well designed, well-integrated and user-centred Establish and maintain robust information governance frameworks Lead the development of analytics, reporting and data visualisation capabilities that support operational decision-making What the successful Head of Data Systems and AI will bring to the team You will be an experienced in the operational delivery of data systems and analytics with proven experience managing complex workloads. Strong expertise of information governance, data protection and security Excellent understanding of AI (generative, agentic etc) and how they can be applied to the charity sector to enhance delivery of services Strong ability to gather requirements and translate them into system designs Ability to communicate with stakeholders from C-Suite to Junior staff Working knowledge and experience with the Salesforce platform Here's What You'll Get in Return Salary of up to £67,000 Flexible working arrangements Generous Holiday Allowances - 30 days PLUS bank holidays Employee assistance and training programmes Think this one's for you If you think this Data Systems and AI opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.
Apr 03, 2026
Full time
Head of Data Systems and AI (Salesforce SaaS) - £67,000 - Flexible Location (Remote Available) The Opportunity Yolk Recruitment Public Sector & Not-for-Profit team are supporting a very unique charity that empowers not-for-profits to care for some of the most vulnerable members of our society in some very novel ways. They are looking for a Head of Data Systems and AI to take operational management of the charities data systems, data team and AI enabled tools ensuring effective leadership, performance and development. What the Head of Data Systems and AI will be doing You will be responsible for managing a portfolio of data projects whilst line managing the data team - ensuring the data systems meet the needs of the wider organisation and select third parties. Lead the day-to-day performance, development and continuous improvement of the data and AI systems Translate the organisational strategies into clear roadmaps and delivery plans Ensure systems are well designed, well-integrated and user-centred Establish and maintain robust information governance frameworks Lead the development of analytics, reporting and data visualisation capabilities that support operational decision-making What the successful Head of Data Systems and AI will bring to the team You will be an experienced in the operational delivery of data systems and analytics with proven experience managing complex workloads. Strong expertise of information governance, data protection and security Excellent understanding of AI (generative, agentic etc) and how they can be applied to the charity sector to enhance delivery of services Strong ability to gather requirements and translate them into system designs Ability to communicate with stakeholders from C-Suite to Junior staff Working knowledge and experience with the Salesforce platform Here's What You'll Get in Return Salary of up to £67,000 Flexible working arrangements Generous Holiday Allowances - 30 days PLUS bank holidays Employee assistance and training programmes Think this one's for you If you think this Data Systems and AI opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & 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 $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit 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. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer 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 (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service 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 in respect of the vacancies posted on this site. 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. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Apr 03, 2026
Full time
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & 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 $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit 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. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer 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 (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service 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 in respect of the vacancies posted on this site. 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. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Gizmo is an AI startup on a mission to make learning so easy that anyone can learn anything. We're building a platform that uses gamification and social mechanics to make learning fun. With over 1.7 million monthly active users and $5M in annual recurring revenue, we're already one of the fastest-growing startups in the UK. Backed by leading investors, we recently raised $22M in Series A funding to accelerate our vision of helping 1 billion people learn. The Role We're hiring an experienced/staff-level Product Engineer (AI-focused) to build and scale the core intelligence behind Gizmo. Reporting to the CEO and Co-Founder, you'll work across our TypeScript codebase to ship AI-powered features used daily by thousands of students, including study material generation, quizzes, automated marking and content ingestion. This is not an ML research role. It is a hands on product engineering position focused on designing and improving production AI systems with real user impact. If you want to build AI that sits at the heart of a product and see your work make a tangible difference at scale, this role offers genuine impact. What You Will Be Doing Building AI-Powered Product Features You will operate as a full product engineer, owning AI features end to end: Design and ship AI-driven user facing features in our TypeScript stack Take ownership of AI features from idea through to production and iteration Collaborate closely with design and product to solve real learning problems with end to end AI solutions Write clean, maintainable, production ready code Contribute to architectural decisions across backend and AI systems Improve the user experience around AI outputs, including feedback loops and refinement flows Owning and Improving Production AI Systems You will take responsibility for AI systems that are already live and used daily. These include: Study material content generation Quiz question generation Automated marking and feedback Structured content ingestion pipelines You will: Optimise production AI pipelines Design and iterate on prompts, including agentic prompt engineering and multi step workflows Build structured model pipelines rather than simple single call integrations Integrate model improvements directly into our TypeScript backend Create novel AI powered systems to solve new product challenges Prototype and productionise new model driven capabilities Designing Evaluation and Quality Frameworks You will: Define what great looks like across different AI use cases Design internal evaluation frameworks Develop clear metrics for quality, correctness and usefulness Evaluate multi step and agentic workflows for robustness Run structured experiments to drive systematic improvement Build internal tooling to support iteration and experimentation Ensuring Reliability at Scale You will: Monitor model behaviour and system health Handle API rate limits and third party outages Improve resilience, retries and fallback logic Design robust model calling infrastructure Ensure AI features remain stable and performant under scale Qualifications 8+ years of software engineering experience Strong expertise in TypeScript is preferred; however, we would also consider candidates with strong JavaScript experience Degree in Machine Learning, Artificial Intelligence, or a related quantitative discipline; alternatively, demonstrable hands on experience evaluating AI models and prompts in a production environment Experience building and maintaining production systems Experience shipping user facing product features Experience designing structured or agentic prompt workflows Ability to define and implement evaluation metrics for AI driven features Clear communicator who can collaborate with technical and non technical stakeholders Strong product instincts and a focus on impact Nice to Have Previous start up or founder experience Experience building internal tooling for experimentation and evaluation Benefits Highly competitive salary You'll own a piece of what you're building - equity included Hybrid and flexible working model with 4 days in our Shoreditch, London office Private health insurance Enhanced parental leave The opportunity to become one of the earliest employees in one of the UK's fastest growing startups
Apr 03, 2026
Full time
Gizmo is an AI startup on a mission to make learning so easy that anyone can learn anything. We're building a platform that uses gamification and social mechanics to make learning fun. With over 1.7 million monthly active users and $5M in annual recurring revenue, we're already one of the fastest-growing startups in the UK. Backed by leading investors, we recently raised $22M in Series A funding to accelerate our vision of helping 1 billion people learn. The Role We're hiring an experienced/staff-level Product Engineer (AI-focused) to build and scale the core intelligence behind Gizmo. Reporting to the CEO and Co-Founder, you'll work across our TypeScript codebase to ship AI-powered features used daily by thousands of students, including study material generation, quizzes, automated marking and content ingestion. This is not an ML research role. It is a hands on product engineering position focused on designing and improving production AI systems with real user impact. If you want to build AI that sits at the heart of a product and see your work make a tangible difference at scale, this role offers genuine impact. What You Will Be Doing Building AI-Powered Product Features You will operate as a full product engineer, owning AI features end to end: Design and ship AI-driven user facing features in our TypeScript stack Take ownership of AI features from idea through to production and iteration Collaborate closely with design and product to solve real learning problems with end to end AI solutions Write clean, maintainable, production ready code Contribute to architectural decisions across backend and AI systems Improve the user experience around AI outputs, including feedback loops and refinement flows Owning and Improving Production AI Systems You will take responsibility for AI systems that are already live and used daily. These include: Study material content generation Quiz question generation Automated marking and feedback Structured content ingestion pipelines You will: Optimise production AI pipelines Design and iterate on prompts, including agentic prompt engineering and multi step workflows Build structured model pipelines rather than simple single call integrations Integrate model improvements directly into our TypeScript backend Create novel AI powered systems to solve new product challenges Prototype and productionise new model driven capabilities Designing Evaluation and Quality Frameworks You will: Define what great looks like across different AI use cases Design internal evaluation frameworks Develop clear metrics for quality, correctness and usefulness Evaluate multi step and agentic workflows for robustness Run structured experiments to drive systematic improvement Build internal tooling to support iteration and experimentation Ensuring Reliability at Scale You will: Monitor model behaviour and system health Handle API rate limits and third party outages Improve resilience, retries and fallback logic Design robust model calling infrastructure Ensure AI features remain stable and performant under scale Qualifications 8+ years of software engineering experience Strong expertise in TypeScript is preferred; however, we would also consider candidates with strong JavaScript experience Degree in Machine Learning, Artificial Intelligence, or a related quantitative discipline; alternatively, demonstrable hands on experience evaluating AI models and prompts in a production environment Experience building and maintaining production systems Experience shipping user facing product features Experience designing structured or agentic prompt workflows Ability to define and implement evaluation metrics for AI driven features Clear communicator who can collaborate with technical and non technical stakeholders Strong product instincts and a focus on impact Nice to Have Previous start up or founder experience Experience building internal tooling for experimentation and evaluation Benefits Highly competitive salary You'll own a piece of what you're building - equity included Hybrid and flexible working model with 4 days in our Shoreditch, London office Private health insurance Enhanced parental leave The opportunity to become one of the earliest employees in one of the UK's fastest growing startups
About the Role At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerised deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6-8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications: Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerisation (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications: Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. 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 $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive programme which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. GSK US Benefits Summary 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 get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. 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. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . 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 (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service 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 in respect of the vacancies posted on this site. 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. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Apr 03, 2026
Full time
About the Role At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerised deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6-8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications: Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerisation (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications: Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. 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 $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive programme which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. GSK US Benefits Summary 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 get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. 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. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . 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 (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service 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 in respect of the vacancies posted on this site. 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. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
A place to create moments that matter Location: East, Hybrid with travel Salary: £44,736 per annum Contract: Permanent, 35 hours per week, Monday Friday Thousands of families rely on them for a safe, affordable home and as the housing crisis deepens, their work matters more than ever. Their belief that everyone deserves a place to call home drives everything they do. Together, they champion their customers, support them, and drive positive change. About the role As a Senior Leasehold & Homeownership Officer, you ll bring specialist knowledge to the team and act as the escalation point for complex or high risk cases. You ll advise on lease interpretation, service charges, income, property management, and ASB, ensuring clear and accurate responses for customers. You ll coach and support colleagues, helping them handle challenging queries confidently. Your expertise will help deliver one seamless service across mixed tenure sites. Part of something bigger You ll support your team while also contributing to a national network of leasehold and homeownership professionals. You ll share best practice, support organisation wide initiatives, and help improve standards across the organisation. Visibility is important in this role you ll spend time on mixed tenure sites, carrying out inspections, engaging with residents, and building strong relationships within the community. Collaboration at the core You ll work closely with Housing and Leasehold teams to ensure customers receive one consistent service. You ll also manage relationships with external managing agents and third party providers, navigating complex issues to achieve positive customer outcomes. Why this role matters This is a chance to shape the customer experience for homeowners and leaseholders, improving clarity, fairness, and service delivery. If you re passionate about homeownership and want a role with influence, visibility, and room to grow, they d love to hear from you. Salary Spot salary: £44,736 per annum. Candidates still developing some skills may start 5 10% below the spot rate, with clear support to progress. This role also includes an essential car user allowance. About you Strong understanding of leasehold & homeownership legislation Experience supervising or coaching others Ability to deliver empathetic, customer focused service Understanding of service charges, income collection, and dispute resolution Able to prioritise and manage a busy workload Confident handling complex or technical queries Relevant qualification (CIH Level 4/IRPM/RICS) or willingness to work towards it Full UK driving licence and access to a vehicle Pre employment checks (DBS and social media screening) will apply. Interviews Stage 1 A Place to Connect Introductory call with the hiring manager Planned date: 8th April via Teams Stage 2 A Place to Show Your Strengths Role related presentation and behavioural/scenario based interview with a Congruity Questionnaire completed beforehand Planned date: 17th April at their Peterborough office They aim to make the process clear, supportive, and valuable ensuring you feel informed and confident throughout. A place to build a future They re ambitious and want people who want to grow with them. You ll have opportunities to learn new skills, shape your career, and thrive in a collaborative environment where your ideas matter. What you can look forward to: 28 days holiday plus bank holidays, birthday leave, and the option to buy more Cash health plan, Health MOTs, online GP, gym discounts, and a volunteering day Car leasing, salary sacrifice schemes, and discounts platform Defined Contribution or Defined Benefit pension schemes and life assurance Enhanced parental leave and flexible working options Leadership Academy, apprenticeships, and management development This is more than a job it s a place where you can make an impact, feel valued, and be rewarded for what you do. They re committed to inclusion They value diversity and aim to create a workplace where everyone feels respected and able to thrive. If you need reasonable adjustments, just let us know. Please note you must already have the right to live and work in the UK, as our client does not hold a sponsorship licence. If you re looking for a place where you can make a positive difference, apply now. Recruitment agencies: They work exclusively with partners on their PSL and do not accept unsolicited CVs or speculative approaches for this role. REF-
Apr 03, 2026
Full time
A place to create moments that matter Location: East, Hybrid with travel Salary: £44,736 per annum Contract: Permanent, 35 hours per week, Monday Friday Thousands of families rely on them for a safe, affordable home and as the housing crisis deepens, their work matters more than ever. Their belief that everyone deserves a place to call home drives everything they do. Together, they champion their customers, support them, and drive positive change. About the role As a Senior Leasehold & Homeownership Officer, you ll bring specialist knowledge to the team and act as the escalation point for complex or high risk cases. You ll advise on lease interpretation, service charges, income, property management, and ASB, ensuring clear and accurate responses for customers. You ll coach and support colleagues, helping them handle challenging queries confidently. Your expertise will help deliver one seamless service across mixed tenure sites. Part of something bigger You ll support your team while also contributing to a national network of leasehold and homeownership professionals. You ll share best practice, support organisation wide initiatives, and help improve standards across the organisation. Visibility is important in this role you ll spend time on mixed tenure sites, carrying out inspections, engaging with residents, and building strong relationships within the community. Collaboration at the core You ll work closely with Housing and Leasehold teams to ensure customers receive one consistent service. You ll also manage relationships with external managing agents and third party providers, navigating complex issues to achieve positive customer outcomes. Why this role matters This is a chance to shape the customer experience for homeowners and leaseholders, improving clarity, fairness, and service delivery. If you re passionate about homeownership and want a role with influence, visibility, and room to grow, they d love to hear from you. Salary Spot salary: £44,736 per annum. Candidates still developing some skills may start 5 10% below the spot rate, with clear support to progress. This role also includes an essential car user allowance. About you Strong understanding of leasehold & homeownership legislation Experience supervising or coaching others Ability to deliver empathetic, customer focused service Understanding of service charges, income collection, and dispute resolution Able to prioritise and manage a busy workload Confident handling complex or technical queries Relevant qualification (CIH Level 4/IRPM/RICS) or willingness to work towards it Full UK driving licence and access to a vehicle Pre employment checks (DBS and social media screening) will apply. Interviews Stage 1 A Place to Connect Introductory call with the hiring manager Planned date: 8th April via Teams Stage 2 A Place to Show Your Strengths Role related presentation and behavioural/scenario based interview with a Congruity Questionnaire completed beforehand Planned date: 17th April at their Peterborough office They aim to make the process clear, supportive, and valuable ensuring you feel informed and confident throughout. A place to build a future They re ambitious and want people who want to grow with them. You ll have opportunities to learn new skills, shape your career, and thrive in a collaborative environment where your ideas matter. What you can look forward to: 28 days holiday plus bank holidays, birthday leave, and the option to buy more Cash health plan, Health MOTs, online GP, gym discounts, and a volunteering day Car leasing, salary sacrifice schemes, and discounts platform Defined Contribution or Defined Benefit pension schemes and life assurance Enhanced parental leave and flexible working options Leadership Academy, apprenticeships, and management development This is more than a job it s a place where you can make an impact, feel valued, and be rewarded for what you do. They re committed to inclusion They value diversity and aim to create a workplace where everyone feels respected and able to thrive. If you need reasonable adjustments, just let us know. Please note you must already have the right to live and work in the UK, as our client does not hold a sponsorship licence. If you re looking for a place where you can make a positive difference, apply now. Recruitment agencies: They work exclusively with partners on their PSL and do not accept unsolicited CVs or speculative approaches for this role. REF-
AVEVA is creating software trusted by over 90% of leading industrial companies. Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Find out more: About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Job Title: Senior AI Research Engineer Location: Cambridge, London, UK (Hybrid) Employment Type: Full-time, permanent The job We are seeking a Senior AI Research Engineer to join our AI Investigation and Incubation team. This is a hands-on engineering role, focused on building, prototyping, validating, and operationalising emerging AI technologies for real-world industrial intelligence use cases.This role is not a pure academic research position. We are specifically looking for engineers who enjoy turning AI research into working systems, making architectural trade-offs, and proving feasibility through code, experiments, and deployable prototypes.The ideal candidate is an ML Research Engineer or Senior Data Scientist with strong practical instincts who thrives at the intersection of experimentation and production. Key Responsibilities Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets Assess AI approaches for scalability, reliability, cost, security, and operational feasibility Make and document engineering and architectural decisions related to model deployment and integration Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments Essential Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure 3+ years of hands-on experience building, training, evaluating, and deploying ML models Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace) Solid understanding of AI/ML deployment patterns, including: + Batch and real-time inference + Model APIs and pipelines + Integration into distributed systems Practical experience with modern AI paradigms, such as: + Foundation models / LLMs + Agent-based systems and orchestration + Context retrieval and augmentation techniques Demonstrated ability to lead technical investigations and drive them to concrete outcomes Ability to connect AI capabilities to practical industrial or enterprise use cases Desirable Experience Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable) Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration) Experience working with non-ideal, real-world data rather than curated research datasets Exposure to industrial, IoT, manufacturing, energy, or asset-intensive domains What Success Looks Like AI ideas progress beyond research into validated, working prototypes Technical investigations result in clear go / no-go recommendations Prototypes demonstrate feasibility for real-world deployment, not just benchmark performance Strong collaboration with engineering teams to enable transition into pilots or platforms Tangible influence on AI roadmap and technology direction through evidence-backed engineering work R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: UK Benefits include:
Apr 03, 2026
Full time
AVEVA is creating software trusted by over 90% of leading industrial companies. Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Find out more: About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Job Title: Senior AI Research Engineer Location: Cambridge, London, UK (Hybrid) Employment Type: Full-time, permanent The job We are seeking a Senior AI Research Engineer to join our AI Investigation and Incubation team. This is a hands-on engineering role, focused on building, prototyping, validating, and operationalising emerging AI technologies for real-world industrial intelligence use cases.This role is not a pure academic research position. We are specifically looking for engineers who enjoy turning AI research into working systems, making architectural trade-offs, and proving feasibility through code, experiments, and deployable prototypes.The ideal candidate is an ML Research Engineer or Senior Data Scientist with strong practical instincts who thrives at the intersection of experimentation and production. Key Responsibilities Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets Assess AI approaches for scalability, reliability, cost, security, and operational feasibility Make and document engineering and architectural decisions related to model deployment and integration Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments Essential Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure 3+ years of hands-on experience building, training, evaluating, and deploying ML models Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace) Solid understanding of AI/ML deployment patterns, including: + Batch and real-time inference + Model APIs and pipelines + Integration into distributed systems Practical experience with modern AI paradigms, such as: + Foundation models / LLMs + Agent-based systems and orchestration + Context retrieval and augmentation techniques Demonstrated ability to lead technical investigations and drive them to concrete outcomes Ability to connect AI capabilities to practical industrial or enterprise use cases Desirable Experience Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable) Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration) Experience working with non-ideal, real-world data rather than curated research datasets Exposure to industrial, IoT, manufacturing, energy, or asset-intensive domains What Success Looks Like AI ideas progress beyond research into validated, working prototypes Technical investigations result in clear go / no-go recommendations Prototypes demonstrate feasibility for real-world deployment, not just benchmark performance Strong collaboration with engineering teams to enable transition into pilots or platforms Tangible influence on AI roadmap and technology direction through evidence-backed engineering work R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: UK Benefits include:
What You'll Do Work closely with our CEO to refine our ideal customer profile and develop clear buyer personas and use cases Build the narrative for Magentic as a category-defining AI platform for procurement Design and run rapid experiments across acquisition channels to build our growth playbook Leverage modern AI and automation tools to analyse, track, report and execute Work closely with founders, sales, and product to turn customer insights into product and messaging improvements You Might Be a Great Fit if You Have experience driving measurable growth at an early-stage enterprise B2B startup. Have a strong bias for execution and ownership Are comfortable operating across the full marketing stack (customer research, messaging, campaigns, analytics). Strong mix of analytical thinking and creative storytelling. Have a highly experimental mindset - able to test quickly, learn, and iterate. Compensation and Benefits At Magentic, we recognise and reward the talent that drives our success. We offer: Competitive Equity: play a real part in Magentic's upside A salary of £90-100k Visa sponsorship available for this role Enhanced parental leave 25 days holiday exc bank holidays, plus an extra day for our Christmas shutdown In-office lunches provided Salary sacrifice pension and nursery schemes Hybrid London HQ (3-4 days in the office/customer site) Annual team retreat-a fully-funded off-site to recharge, bond, and build Our Interview Process There are a few components because it's really important that both we and you have all the information to make a great decision at this stage of our journey. We can move quickly through these stages, so let us know if you have any timelines we need to meet. Initial call (30 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about how your experience aligns with the role. Skills interview (60 mins with some prep): in this step, we'll ask you to present some of your work to us and discuss it. a) In-person interview: for the final step, we invite you to come meet the team in-person and work alongside us! We find this is the best way for candidates to get a sense of what working at Magentic is like. This day will include a culture interview, a role-specific task and a discussion of your work with the team. b) CEO interview (30 mins): a chance for you to meet Robin, hear about his vision for the company - this may happen at the in-person, dependent on scheduling constraints Responsible AI Statement At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission. Equal Opportunities and Accommodations Statement Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010. We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications, merit, and business needs. Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly.
Apr 02, 2026
Full time
What You'll Do Work closely with our CEO to refine our ideal customer profile and develop clear buyer personas and use cases Build the narrative for Magentic as a category-defining AI platform for procurement Design and run rapid experiments across acquisition channels to build our growth playbook Leverage modern AI and automation tools to analyse, track, report and execute Work closely with founders, sales, and product to turn customer insights into product and messaging improvements You Might Be a Great Fit if You Have experience driving measurable growth at an early-stage enterprise B2B startup. Have a strong bias for execution and ownership Are comfortable operating across the full marketing stack (customer research, messaging, campaigns, analytics). Strong mix of analytical thinking and creative storytelling. Have a highly experimental mindset - able to test quickly, learn, and iterate. Compensation and Benefits At Magentic, we recognise and reward the talent that drives our success. We offer: Competitive Equity: play a real part in Magentic's upside A salary of £90-100k Visa sponsorship available for this role Enhanced parental leave 25 days holiday exc bank holidays, plus an extra day for our Christmas shutdown In-office lunches provided Salary sacrifice pension and nursery schemes Hybrid London HQ (3-4 days in the office/customer site) Annual team retreat-a fully-funded off-site to recharge, bond, and build Our Interview Process There are a few components because it's really important that both we and you have all the information to make a great decision at this stage of our journey. We can move quickly through these stages, so let us know if you have any timelines we need to meet. Initial call (30 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about how your experience aligns with the role. Skills interview (60 mins with some prep): in this step, we'll ask you to present some of your work to us and discuss it. a) In-person interview: for the final step, we invite you to come meet the team in-person and work alongside us! We find this is the best way for candidates to get a sense of what working at Magentic is like. This day will include a culture interview, a role-specific task and a discussion of your work with the team. b) CEO interview (30 mins): a chance for you to meet Robin, hear about his vision for the company - this may happen at the in-person, dependent on scheduling constraints Responsible AI Statement At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission. Equal Opportunities and Accommodations Statement Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010. We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications, merit, and business needs. Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly.
