We're defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, "impossible" isn't part of our vocabulary. You'll face some of the toughest but most rewarding challenges of your career. They're worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. The Crown Is Yours DraftKings is a leader in the digital sports entertainment and gaming industry. We provide a world-class, immersive experience for our users and are at the forefront of technological innovation in the industry. Our Sports Intelligence team plays a critical role in developing solutions that power our platform and drive our business forward. We are forming a new unit focused on driving automation and efficiency within our Sportsbook. You'll build complex low latency systems to support data science decision-making at scale, to unlock more value for the business. As a Senior Data Science Engineer at DraftKings, you will play a pivotal role in driving our data science initiatives forward. You will be responsible for developing advanced models and algorithms, analyzing large datasets, and providing actionable insights to enhance our product offerings and business operations What You'll Do as a Senior Data Science Engineer Lead data science projects from conception to deployment, ensuring high-quality and timely delivery. Develop and implement statistical models and machine learning algorithms to solve complex business problems. Collaborate with cross-functional teams to integrate data science solutions into production systems. Mentor junior data scientists and provide guidance on best practices and methodologies. Communicate technical findings and insights to internal stakeholders to support data-driven decision-making. Assist with the adoption of data-driven strategies into the trading processes Assist with the design, development, maintenance, and testing strategy of trading automation solutions, ensuring alignment with overall business objectives What You'll Bring Proven experience in data science, with a strong foundation in machine learning and statistical modeling. Proficiency in programming languages such as Python or R, and experience with data manipulation and visualization tools. Demonstrated ability to break down complex problems into manageable tasks and deliver high-quality results. Excellent problem-solving skills and the ability to work collaboratively in a team environment. Experience in developing and implementing automated trading or decision-making systems is highly desirable Experience with Kubernetes and Kafka are desirable Experience with Databricks is desirable Experience with experimentation is desirable A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.
Feb 13, 2025
Full time
We're defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, "impossible" isn't part of our vocabulary. You'll face some of the toughest but most rewarding challenges of your career. They're worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. The Crown Is Yours DraftKings is a leader in the digital sports entertainment and gaming industry. We provide a world-class, immersive experience for our users and are at the forefront of technological innovation in the industry. Our Sports Intelligence team plays a critical role in developing solutions that power our platform and drive our business forward. We are forming a new unit focused on driving automation and efficiency within our Sportsbook. You'll build complex low latency systems to support data science decision-making at scale, to unlock more value for the business. As a Senior Data Science Engineer at DraftKings, you will play a pivotal role in driving our data science initiatives forward. You will be responsible for developing advanced models and algorithms, analyzing large datasets, and providing actionable insights to enhance our product offerings and business operations What You'll Do as a Senior Data Science Engineer Lead data science projects from conception to deployment, ensuring high-quality and timely delivery. Develop and implement statistical models and machine learning algorithms to solve complex business problems. Collaborate with cross-functional teams to integrate data science solutions into production systems. Mentor junior data scientists and provide guidance on best practices and methodologies. Communicate technical findings and insights to internal stakeholders to support data-driven decision-making. Assist with the adoption of data-driven strategies into the trading processes Assist with the design, development, maintenance, and testing strategy of trading automation solutions, ensuring alignment with overall business objectives What You'll Bring Proven experience in data science, with a strong foundation in machine learning and statistical modeling. Proficiency in programming languages such as Python or R, and experience with data manipulation and visualization tools. Demonstrated ability to break down complex problems into manageable tasks and deliver high-quality results. Excellent problem-solving skills and the ability to work collaboratively in a team environment. Experience in developing and implementing automated trading or decision-making systems is highly desirable Experience with Kubernetes and Kafka are desirable Experience with Databricks is desirable Experience with experimentation is desirable A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.
Who are we? Ki is the biggest global insurance tech company you've never heard of, unless you've been looking to insure a satellite, wind farm or music festival recently. We launched in 2021 on the back of a fund raise that delivered $500m of investment, making us one of the largest fintech start-ups that year. Our investors were excited about the fact we were revolutionising the way a 333 year-old industry was working. We have written over $400m worth of premium in 2021. Together with partners at Google and UCL, we developed Ki and created a platform that helps insurance brokers cover risks in a fast and frictionless way. We're continuing to lead the charge on the digitisation of this market and that's where you come in - we need more excellent minds to work with us to realise this goal and create more opportunities. If helping us transform a multi-billion global industry sounds exciting to you, read on. What you will be working on You'll work on Ki's suite of risk assessment machine learning models by building models, carrying out analysis of machine learning model quality to identify potential improvements in our models, and you'll own the delivery of individual machine learning models to help Ki better assess and manage risk. Fully utilizing your experience with common machine learning frameworks (e.g. scikit-learn, TensorFlow, etc.) as well as any experience you have working in cloud environments, you'll work closely with the Ki Portfolio Underwriting team to appropriately formulate commercial challenges as machine learning problems. Joining our Data Science community within Ki, you'll further develop your skills and guide junior members, helping them improve their engineering skill level and understanding of the insurance market. You'll join a team on an exciting journey - we're solving industry problems that have never been solved before. Our culture Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race, gender, ethnicity, sexual orientation, physical ability, thought, and social background bring richness to our working environment. No matter who you are, where you're from, how you think, or who you love, we believe you should be you. You'll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals.
Feb 13, 2025
Full time
Who are we? Ki is the biggest global insurance tech company you've never heard of, unless you've been looking to insure a satellite, wind farm or music festival recently. We launched in 2021 on the back of a fund raise that delivered $500m of investment, making us one of the largest fintech start-ups that year. Our investors were excited about the fact we were revolutionising the way a 333 year-old industry was working. We have written over $400m worth of premium in 2021. Together with partners at Google and UCL, we developed Ki and created a platform that helps insurance brokers cover risks in a fast and frictionless way. We're continuing to lead the charge on the digitisation of this market and that's where you come in - we need more excellent minds to work with us to realise this goal and create more opportunities. If helping us transform a multi-billion global industry sounds exciting to you, read on. What you will be working on You'll work on Ki's suite of risk assessment machine learning models by building models, carrying out analysis of machine learning model quality to identify potential improvements in our models, and you'll own the delivery of individual machine learning models to help Ki better assess and manage risk. Fully utilizing your experience with common machine learning frameworks (e.g. scikit-learn, TensorFlow, etc.) as well as any experience you have working in cloud environments, you'll work closely with the Ki Portfolio Underwriting team to appropriately formulate commercial challenges as machine learning problems. Joining our Data Science community within Ki, you'll further develop your skills and guide junior members, helping them improve their engineering skill level and understanding of the insurance market. You'll join a team on an exciting journey - we're solving industry problems that have never been solved before. Our culture Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race, gender, ethnicity, sexual orientation, physical ability, thought, and social background bring richness to our working environment. No matter who you are, where you're from, how you think, or who you love, we believe you should be you. You'll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals.
Role Description The AI Safety Institute research unit is looking for exceptionally motivated and talented people to join its Safeguard Analysis Team. Interventions that secure a system from abuse by bad actors will grow in importance as AI systems become more advanced and integrated into society. The AI Safety Institute's Safeguard Analysis Team researches such interventions, which it refers to as 'safeguards', evaluating protections used to secure current frontier AI systems and considering what measures could and should be used to secure such systems in the future. The Safeguard Analysis Team takes a broad view of security threats and interventions. It's keen to hire researchers with expertise developing and analysing attacks and protections for systems based on large language models, but is also keen to hire security researchers who have historically worked outside of AI, such as in - non-exhaustively - computer security, information security, web technology policy, and hardware security. Diverse perspectives and research interests are welcomed. The Team seeks people with skillsets leaning in the direction of either or both of Research Scientist and Research Engineer, recognising that some technical staff may prefer work that spans or alternates between engineering and research responsibilities. The Team's priorities include research-oriented responsibilities - like assessing the threats to frontier systems and developing novel attacks - and engineering-oriented ones, such as building infrastructure for running evaluations. In this role, you'll receive mentorship and coaching from your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff, including alumni from Anthropic, DeepMind, OpenAI and ML professors from Oxford and Cambridge. In addition to Junior roles, Senior, Staff and Principal RE positions are available for candidates with the required seniority and experience. Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: Experience working on machine learning, AI, AI security, computer security, information security, or some other security discipline in industry, in academia, or independently. Experience working with a world-class research team comprised of both scientists and engineers (e.g. in a top-3 lab). Red-teaming experience against any sort of system. Strong written and verbal communication skills. Comprehensive understanding of large language models (e.g. GPT-4). This includes both a broad understanding of the literature, as well as hands-on experience with things like pre-training or fine-tuning LLMs. Extensive Python experience, including understanding the intricacies of the language, the good vs. bad Pythonic ways of doing things and much of the wider ecosystem/tooling. Ability to work in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Bring your own voice and experience but also an eagerness to support your colleagues together with a willingness to do whatever is necessary for the team's success and find new ways of getting things done. Have a sense of mission, urgency, and responsibility for success, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done. Writing production quality code. Improving technical standards across a team through mentoring and feedback. Designing, shipping, and maintaining complex tech products. Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L3: £65,000 - £75,000 L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. Required Experience This job advert encompasses a range of possible research and engineering roles within the Safeguard Analysis Team. The 'required' experiences listed below should be interpreted as examples of the expertise we're looking for, as opposed to a list of everything we expect to find in one applicant: Writing production quality code Writing code efficiently Python Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Security research knowledge Research problem selection Research science Written communication Verbal communication Teamwork Interpersonal skills Tackle challenging problems Learn through coaching
Feb 12, 2025
Full time
Role Description The AI Safety Institute research unit is looking for exceptionally motivated and talented people to join its Safeguard Analysis Team. Interventions that secure a system from abuse by bad actors will grow in importance as AI systems become more advanced and integrated into society. The AI Safety Institute's Safeguard Analysis Team researches such interventions, which it refers to as 'safeguards', evaluating protections used to secure current frontier AI systems and considering what measures could and should be used to secure such systems in the future. The Safeguard Analysis Team takes a broad view of security threats and interventions. It's keen to hire researchers with expertise developing and analysing attacks and protections for systems based on large language models, but is also keen to hire security researchers who have historically worked outside of AI, such as in - non-exhaustively - computer security, information security, web technology policy, and hardware security. Diverse perspectives and research interests are welcomed. The Team seeks people with skillsets leaning in the direction of either or both of Research Scientist and Research Engineer, recognising that some technical staff may prefer work that spans or alternates between engineering and research responsibilities. The Team's priorities include research-oriented responsibilities - like assessing the threats to frontier systems and developing novel attacks - and engineering-oriented ones, such as building infrastructure for running evaluations. In this role, you'll receive mentorship and coaching from your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff, including alumni from Anthropic, DeepMind, OpenAI and ML professors from Oxford and Cambridge. In addition to Junior roles, Senior, Staff and Principal RE positions are available for candidates with the required seniority and experience. Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: Experience working on machine learning, AI, AI security, computer security, information security, or some other security discipline in industry, in academia, or independently. Experience working with a world-class research team comprised of both scientists and engineers (e.g. in a top-3 lab). Red-teaming experience against any sort of system. Strong written and verbal communication skills. Comprehensive understanding of large language models (e.g. GPT-4). This includes both a broad understanding of the literature, as well as hands-on experience with things like pre-training or fine-tuning LLMs. Extensive Python experience, including understanding the intricacies of the language, the good vs. bad Pythonic ways of doing things and much of the wider ecosystem/tooling. Ability to work in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Bring your own voice and experience but also an eagerness to support your colleagues together with a willingness to do whatever is necessary for the team's success and find new ways of getting things done. Have a sense of mission, urgency, and responsibility for success, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done. Writing production quality code. Improving technical standards across a team through mentoring and feedback. Designing, shipping, and maintaining complex tech products. Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L3: £65,000 - £75,000 L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. Required Experience This job advert encompasses a range of possible research and engineering roles within the Safeguard Analysis Team. The 'required' experiences listed below should be interpreted as examples of the expertise we're looking for, as opposed to a list of everything we expect to find in one applicant: Writing production quality code Writing code efficiently Python Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Security research knowledge Research problem selection Research science Written communication Verbal communication Teamwork Interpersonal skills Tackle challenging problems Learn through coaching
Role Description The AI Safety Institute research unit is looking for exceptionally motivated and talented Research Scientists and Research Engineers to work in the Societal impacts team. Societal Impacts Societal Impacts is a multidisciplinary team that studies how advanced AI models can impact people and society. Core research topics include the use of AI for assisting with criminal activities, undermining trust in information, jeopardising psychological wellbeing, or for malicious social engineering. We are interested in both immediate and medium-term risks. In this role, you'll join a strongly collaborative technical research team led by the Societal Impacts Research Director, Professor Christopher Summerfield. You will receive mentorship, training, and opportunities for development. You'll also regularly interact with our highly talented and experienced staff across the Institute (including alumni from Anthropic, DeepMind, OpenAI and ML professors from Oxford and Cambridge), as well as other partners across government. In addition to Junior roles, Senior, Staff and Principal RE positions are available for candidates with the required seniority and experience. Person Specification Successful candidates will work with other researchers to design and run studies that answer important questions about the effect AI will have on society. For example, can AI effectively change people's political and social views? Research Scientists/Engineers have scope to use a range of research methodologies and drive the strategy of the team. This is a multidisciplinary team and we look for people with a diversity of backgrounds. We are especially excited about candidates with experience of research in one or more of these areas: Computational social science Machine learning (research engineer / research scientist) Data Science, especially including Natural Language Processing Advanced statistical modelling and experimental design. Required Skills and Experience We select based on skills and experience regarding the following areas: Writing production quality code Writing code efficiently, especially using Python Demonstrable interest in the societal impacts of AI Experimental design Demonstrable experience running research experiments involving AI models and/or human participants Strong quantitative skills Data analytics Data science methods Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Research problem selection Research science Verbal communication Teamwork Interpersonal skills Desired Skills and Experience Written communication Published work related to cognitive, social or political social science. A specialization in a particular field of social or political science, economics, cognitive science, criminology, security studies, AI safety, or another relevant field. Front-end software engineering skills to build UI for studies with human participants. Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L3: £65,000 - £75,000 L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process.
Feb 12, 2025
Full time
Role Description The AI Safety Institute research unit is looking for exceptionally motivated and talented Research Scientists and Research Engineers to work in the Societal impacts team. Societal Impacts Societal Impacts is a multidisciplinary team that studies how advanced AI models can impact people and society. Core research topics include the use of AI for assisting with criminal activities, undermining trust in information, jeopardising psychological wellbeing, or for malicious social engineering. We are interested in both immediate and medium-term risks. In this role, you'll join a strongly collaborative technical research team led by the Societal Impacts Research Director, Professor Christopher Summerfield. You will receive mentorship, training, and opportunities for development. You'll also regularly interact with our highly talented and experienced staff across the Institute (including alumni from Anthropic, DeepMind, OpenAI and ML professors from Oxford and Cambridge), as well as other partners across government. In addition to Junior roles, Senior, Staff and Principal RE positions are available for candidates with the required seniority and experience. Person Specification Successful candidates will work with other researchers to design and run studies that answer important questions about the effect AI will have on society. For example, can AI effectively change people's political and social views? Research Scientists/Engineers have scope to use a range of research methodologies and drive the strategy of the team. This is a multidisciplinary team and we look for people with a diversity of backgrounds. We are especially excited about candidates with experience of research in one or more of these areas: Computational social science Machine learning (research engineer / research scientist) Data Science, especially including Natural Language Processing Advanced statistical modelling and experimental design. Required Skills and Experience We select based on skills and experience regarding the following areas: Writing production quality code Writing code efficiently, especially using Python Demonstrable interest in the societal impacts of AI Experimental design Demonstrable experience running research experiments involving AI models and/or human participants Strong quantitative skills Data analytics Data science methods Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Research problem selection Research science Verbal communication Teamwork Interpersonal skills Desired Skills and Experience Written communication Published work related to cognitive, social or political social science. A specialization in a particular field of social or political science, economics, cognitive science, criminology, security studies, AI safety, or another relevant field. Front-end software engineering skills to build UI for studies with human participants. Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L3: £65,000 - £75,000 L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process.
You will need to login before you can apply for a job. Sector: Science and Pharmaceutical Role: Senior Executive Contract Type: Contract Hours: Full Time At Virgin Red, our progressive Data Science team has been collecting rich member data to understand wants, needs, and habits. We've already built impactful products, including a rewards recommender system and predictive models that enhance marketing efforts. As we grow and connect with our Virgin companies, we're looking to expand on the ways we use data to benefit our members and partners. In this Senior Data Scientist role, you'll play a key part in developing recommender systems and shaping the future of a dynamic offer platform. You'll collaborate with cross-functional teams to refine, enhance, and expand models and algorithms. Key Responsibilities Develop, maintain, and improve our recommender systems, dynamic offers, and machine learning models. Develop an in-depth understanding of Virgin's datasets, and act as a Subject Matter Expert. Own the technical development of their products and models, collaborating with Stakeholders, Product Managers, and Lead Data Scientist on priorities, planning and delivery. Communicate with stakeholders to show progress, demo or present work and resolve changes or issues. Conduct research to develop proof of concepts and prototypes for new data products, utilising state-of-the-art algorithms, libraries, and frameworks. Work with the Machine Learning Engineer to productionise algorithms/models and continually monitor and test quality. Work closely with Analytics and the Data Platform teams, along with cross-functional squads, to ensure Data Science is represented throughout the organisation. Champion a data-driven culture at Virgin Red by demonstrating best practices in A/B testing, supporting knowledge-sharing sessions and strategic analytical projects. Ensure Data Science initiatives are customer-centric, advocating for customer needs while aligning solutions with partner goals and objectives. Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and experimentation. What You'll Need An experienced Data Scientist with in-depth coding experience in Python and SQL. Passion for learning. Whether it's testing out a new tool, reading up on the latest research or trying to understand why something works as it does, you are always reflecting on what can be improved. Project experience working with large datasets and messy data. Industry experience in developing recommender systems and/or dynamic offer-based solutions. Examples of directing on Data Science projects and how you have worked with other teams across the business. Experience deploying a model you have built into production. Self-motivated problem solver with a curious mind. Ability to describe and compare Machine Learning algorithms, giving examples of where and how you have used them. Extra Details Role Type: 6-month contract Location: London (at least once per month) & your home space Salary: £88,000-93,000 plus completion bonus Working Hours: Full time - We embrace flexible working. Let us know what hours empower you to be at your best both professionally and personally, we'll try to find a perfect match for you and us. Benefits Buckle up for an adventure with Virgin! Our benefits package isn't just a list - it's your ticket to an extraordinary career and life. Imagine unlimited leave for your globe-trotting dreams, a "Screw it, let's do it pot" to enjoy being you, and a learning budget to fuel your curiosity. We've got your back with top-notch health care, family support that goes the extra mile, and a pension plan to keep your future bright. From electric vehicles to flexible volunteering, we're not just offering a job - we're inviting you to join a community that celebrates your whole self. Closing Date 13th February 2025 Some of the attributes that define a Virgin person just can't be quantified in words. We pride ourselves on welcoming people from all walks of life, with all sorts of skill sets. Most recently, we successfully campaigned to add 'Dyslexic Thinking' as a skill on LinkedIn. Any uniqueness is a strength and will be considered an asset to our workforce. If there is something you would like us to consider, to tailor the hiring process to the way you work best, please don't hesitate to let us know. Ready to turn your career into the ultimate adventure? Virgin's got the map, the compass, and the crew. Your great adventure awaits! Company Learn more about this company Visit this company's hub to learn about their values, culture, and latest jobs.
Feb 12, 2025
Full time
You will need to login before you can apply for a job. Sector: Science and Pharmaceutical Role: Senior Executive Contract Type: Contract Hours: Full Time At Virgin Red, our progressive Data Science team has been collecting rich member data to understand wants, needs, and habits. We've already built impactful products, including a rewards recommender system and predictive models that enhance marketing efforts. As we grow and connect with our Virgin companies, we're looking to expand on the ways we use data to benefit our members and partners. In this Senior Data Scientist role, you'll play a key part in developing recommender systems and shaping the future of a dynamic offer platform. You'll collaborate with cross-functional teams to refine, enhance, and expand models and algorithms. Key Responsibilities Develop, maintain, and improve our recommender systems, dynamic offers, and machine learning models. Develop an in-depth understanding of Virgin's datasets, and act as a Subject Matter Expert. Own the technical development of their products and models, collaborating with Stakeholders, Product Managers, and Lead Data Scientist on priorities, planning and delivery. Communicate with stakeholders to show progress, demo or present work and resolve changes or issues. Conduct research to develop proof of concepts and prototypes for new data products, utilising state-of-the-art algorithms, libraries, and frameworks. Work with the Machine Learning Engineer to productionise algorithms/models and continually monitor and test quality. Work closely with Analytics and the Data Platform teams, along with cross-functional squads, to ensure Data Science is represented throughout the organisation. Champion a data-driven culture at Virgin Red by demonstrating best practices in A/B testing, supporting knowledge-sharing sessions and strategic analytical projects. Ensure Data Science initiatives are customer-centric, advocating for customer needs while aligning solutions with partner goals and objectives. Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and experimentation. What You'll Need An experienced Data Scientist with in-depth coding experience in Python and SQL. Passion for learning. Whether it's testing out a new tool, reading up on the latest research or trying to understand why something works as it does, you are always reflecting on what can be improved. Project experience working with large datasets and messy data. Industry experience in developing recommender systems and/or dynamic offer-based solutions. Examples of directing on Data Science projects and how you have worked with other teams across the business. Experience deploying a model you have built into production. Self-motivated problem solver with a curious mind. Ability to describe and compare Machine Learning algorithms, giving examples of where and how you have used them. Extra Details Role Type: 6-month contract Location: London (at least once per month) & your home space Salary: £88,000-93,000 plus completion bonus Working Hours: Full time - We embrace flexible working. Let us know what hours empower you to be at your best both professionally and personally, we'll try to find a perfect match for you and us. Benefits Buckle up for an adventure with Virgin! Our benefits package isn't just a list - it's your ticket to an extraordinary career and life. Imagine unlimited leave for your globe-trotting dreams, a "Screw it, let's do it pot" to enjoy being you, and a learning budget to fuel your curiosity. We've got your back with top-notch health care, family support that goes the extra mile, and a pension plan to keep your future bright. From electric vehicles to flexible volunteering, we're not just offering a job - we're inviting you to join a community that celebrates your whole self. Closing Date 13th February 2025 Some of the attributes that define a Virgin person just can't be quantified in words. We pride ourselves on welcoming people from all walks of life, with all sorts of skill sets. Most recently, we successfully campaigned to add 'Dyslexic Thinking' as a skill on LinkedIn. Any uniqueness is a strength and will be considered an asset to our workforce. If there is something you would like us to consider, to tailor the hiring process to the way you work best, please don't hesitate to let us know. Ready to turn your career into the ultimate adventure? Virgin's got the map, the compass, and the crew. Your great adventure awaits! Company Learn more about this company Visit this company's hub to learn about their values, culture, and latest jobs.
Senior Data Scientist We are looking for a Senior Data Scientist to join the ML/AI team. Our ML/AI team within the Data Organisation is a dynamic group of data scientists and machine learning experts passionate about using data to drive innovation. As a Senior Data Scientist on this team, you'll be at the forefront of developing and deploying machine learning and GenAI algorithms models. You'll collaborate with colleagues across the organisation to identify opportunities for automation, improve decision-making, and optimise our products and processes. This is a challenging and rewarding role where you can make a significant contribution to our mission while continuously learning and expanding your skillset in a supportive and collaborative environment. Please note, the minimum expectation for office attendance is two days per week in our central London office. Who are we? We're Funding Circle. We back small businesses to succeed. At Funding Circle, we believe the world needs small businesses. That's why we've made it our mission to help them get the finance they need to grow. With more than a decade of expertise under our belt, we've built a game-changer of a platform with cutting-edge data and technology that's reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can get a decision, giving them access to competitive funding in a flash. We know that good business is about good people. So we pride ourselves on providing meaningful, human support as well as fast, hassle-free processes to deliver an unbeatable customer experience. The role Develop and implement machine learning models using traditional ML and GenAI: Design, develop, and deploy robust machine learning models and algorithms to solve complex business problems, with a focus on enhancing various aspects of Funding Circle's operations and decision-making processes. Make use of Generative AI models and services when necessary. Analyse data to identify opportunities to improve Funding Circle's products and processes: We collect large quantities of data as part of running our business, work with analysts and product managers to analyse that data and identify opportunities to enhance decision making and increase automation. Communicate results and engage with stakeholders: Effectively communicate complex technical concepts and findings to both technical and non-technical stakeholders. Present insights and recommendations in a clear and concise manner to drive informed decision-making. Mentorship and knowledge sharing: Actively participate in knowledge sharing within the Machine Learning and AI team and the wider data team, providing mentorship to junior team members and contributing to a collaborative and learning-oriented environment. Continuous learning: Keep up-to-date with advancements in machine learning and artificial intelligence. Apply cutting-edge techniques and technologies to address business challenges and maintain a competitive edge in the financial technology sector. What we're looking for Data curiosity and problem solving skills: The ability and willingness to explore, understand and explain complex datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proven machine learning expertise: Demonstrated experience in developing and deploying machine learning models, with a strong understanding of various algorithms, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage. Software development skills: Strong programming experience, ideally in Python. Ability and willingness to work alongside machine learning engineers on the production implementation of algorithms and machine learning models. Experience working on production applications with software developers is an advantage. The role will require working in close contact with production systems, and quality software engineering practices are essential. Data manipulation, analysis and feature processing: Proficient in data manipulation and analysis using tools like Pandas, Polars, NumPy, and SQL. Ability to work with large-scale datasets and extract meaningful insights. Experience in feature engineering and data preprocessing to optimise input data for machine learning models. Ability to handle data quality issues and outliers effectively. Solid understanding of statistical concepts and techniques for modelling. Collaborative team player: Strong interpersonal and communication skills and the ability to work collaboratively in cross-functional teams, both non-technical (domain experts) and highly technical (software, data and platform engineers). Practical mindset with a focus on team outcomes. Continuous learning and adaptability: Commitment to staying updated on the latest developments in data science and machine learning. Ability to work in a fast paced, high innovation environment. Ready to make a difference? We'd love to hear from you.
Feb 12, 2025
Full time
Senior Data Scientist We are looking for a Senior Data Scientist to join the ML/AI team. Our ML/AI team within the Data Organisation is a dynamic group of data scientists and machine learning experts passionate about using data to drive innovation. As a Senior Data Scientist on this team, you'll be at the forefront of developing and deploying machine learning and GenAI algorithms models. You'll collaborate with colleagues across the organisation to identify opportunities for automation, improve decision-making, and optimise our products and processes. This is a challenging and rewarding role where you can make a significant contribution to our mission while continuously learning and expanding your skillset in a supportive and collaborative environment. Please note, the minimum expectation for office attendance is two days per week in our central London office. Who are we? We're Funding Circle. We back small businesses to succeed. At Funding Circle, we believe the world needs small businesses. That's why we've made it our mission to help them get the finance they need to grow. With more than a decade of expertise under our belt, we've built a game-changer of a platform with cutting-edge data and technology that's reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can get a decision, giving them access to competitive funding in a flash. We know that good business is about good people. So we pride ourselves on providing meaningful, human support as well as fast, hassle-free processes to deliver an unbeatable customer experience. The role Develop and implement machine learning models using traditional ML and GenAI: Design, develop, and deploy robust machine learning models and algorithms to solve complex business problems, with a focus on enhancing various aspects of Funding Circle's operations and decision-making processes. Make use of Generative AI models and services when necessary. Analyse data to identify opportunities to improve Funding Circle's products and processes: We collect large quantities of data as part of running our business, work with analysts and product managers to analyse that data and identify opportunities to enhance decision making and increase automation. Communicate results and engage with stakeholders: Effectively communicate complex technical concepts and findings to both technical and non-technical stakeholders. Present insights and recommendations in a clear and concise manner to drive informed decision-making. Mentorship and knowledge sharing: Actively participate in knowledge sharing within the Machine Learning and AI team and the wider data team, providing mentorship to junior team members and contributing to a collaborative and learning-oriented environment. Continuous learning: Keep up-to-date with advancements in machine learning and artificial intelligence. Apply cutting-edge techniques and technologies to address business challenges and maintain a competitive edge in the financial technology sector. What we're looking for Data curiosity and problem solving skills: The ability and willingness to explore, understand and explain complex datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proven machine learning expertise: Demonstrated experience in developing and deploying machine learning models, with a strong understanding of various algorithms, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage. Software development skills: Strong programming experience, ideally in Python. Ability and willingness to work alongside machine learning engineers on the production implementation of algorithms and machine learning models. Experience working on production applications with software developers is an advantage. The role will require working in close contact with production systems, and quality software engineering practices are essential. Data manipulation, analysis and feature processing: Proficient in data manipulation and analysis using tools like Pandas, Polars, NumPy, and SQL. Ability to work with large-scale datasets and extract meaningful insights. Experience in feature engineering and data preprocessing to optimise input data for machine learning models. Ability to handle data quality issues and outliers effectively. Solid understanding of statistical concepts and techniques for modelling. Collaborative team player: Strong interpersonal and communication skills and the ability to work collaboratively in cross-functional teams, both non-technical (domain experts) and highly technical (software, data and platform engineers). Practical mindset with a focus on team outcomes. Continuous learning and adaptability: Commitment to staying updated on the latest developments in data science and machine learning. Ability to work in a fast paced, high innovation environment. Ready to make a difference? We'd love to hear from you.
About the Team The Post-Training Team is dedicated to optimising AI systems to achieve state-of-the-art performance across the various risk domains that AISI focuses on. This is accomplished through a combination of scaffolding, prompting, supervised and RL fine-tuning of the AI models which AISI has access to. One of the main focuses of our evaluation teams is estimating how new models might affect the capabilities of AI systems in specific domains. To improve confidence in our assessments, we make significant effort to enhance the model's performance in the domains of interest. For many of our evaluations, this means taking a model we have been given access to and embedding it as part of a wider AI system-for example, in our cybersecurity evaluations, we provide models with access to tools for interacting with the underlying operating system and repeatedly call models to act in such environment. In our evaluations which do not require agentic capabilities, we may use elicitation techniques like fine-tuning and prompt engineering to ensure assessing the model at its full capacity. About the Role As a member of this team, you will use cutting-edge machine learning techniques to improve model performance in our domains of interest. The work is split into two sub-teams: Agents and Finetuning. Our Agents sub-team focuses on developing the LLM tools and scaffolding to create highly capable LLM-based agents, while our Finetuning Team builds out finetuning pipelines to improve models on our domains of interest. The Post-Training Team is seeking strong Research Scientists to join the team. The priorities of the team include both research-oriented tasks-such as designing new techniques for scaling inference-time computation or developing methodologies for in-depth analysis of agent behaviour-and engineering-oriented tasks-like implementing new tools for our LLM agents or creating pipelines for supporting and fine-tuning large open-source models. We recognise that some technical staff may prefer to span or alternate between engineering and research responsibilities, and this versatility is something we actively look for in our hires. You'll receive mentorship and coaching from your manager and the technical leads on your team, and regularly interact with world-class researchers and other exceptional staff, including alumni from Anthropic, DeepMind and OpenAI. In addition to junior roles, we offer Senior, Staff, and Principal Research Engineer positions for candidates with the requisite seniority and experience. Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: Experience conducting empirical machine learning research (e.g. PhD in a technical field and/or papers at top ML conferences), particularly on LLMs. Experience with machine learning engineering, or extensive experience as a software engineer with a strong demonstration of relevant skills/knowledge in the machine learning. An ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Particularly strong candidates also have the following experience: Building LLM agents in industry or open-source collectives, particularly in areas adjacent to the main interests of one of our workstreams e.g. in-IDE coding assistants, research assistants etc. (for our Agents subteam) Leading research on improving and measuring the capabilities of LLM agents (for our Agents sub-team) Building pipelines for fine-tuning (or pretraining LLMs). Finetuning with RL techniques is particularly relevant (for our finetuning subteam). Finetuning or pretraining LLMs in a research context, particularly to achieve increased performance in specific domains (for our finetuning subteam). Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L3: £65,000 - £75,000 L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. Required Experience We select based on skills and experience regarding the following areas: Research problem selection Research Engineering Writing code efficiently Python Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Written communication Verbal communication Teamwork Interpersonal skills Tackle challenging problems Learn through coaching Desired Experience We additionally may factor in experience with any of the areas that our work-streams specialise in: Cyber security Chemistry or Biology Safeguards Safety Cases Societal Impacts
Feb 11, 2025
Full time
About the Team The Post-Training Team is dedicated to optimising AI systems to achieve state-of-the-art performance across the various risk domains that AISI focuses on. This is accomplished through a combination of scaffolding, prompting, supervised and RL fine-tuning of the AI models which AISI has access to. One of the main focuses of our evaluation teams is estimating how new models might affect the capabilities of AI systems in specific domains. To improve confidence in our assessments, we make significant effort to enhance the model's performance in the domains of interest. For many of our evaluations, this means taking a model we have been given access to and embedding it as part of a wider AI system-for example, in our cybersecurity evaluations, we provide models with access to tools for interacting with the underlying operating system and repeatedly call models to act in such environment. In our evaluations which do not require agentic capabilities, we may use elicitation techniques like fine-tuning and prompt engineering to ensure assessing the model at its full capacity. About the Role As a member of this team, you will use cutting-edge machine learning techniques to improve model performance in our domains of interest. The work is split into two sub-teams: Agents and Finetuning. Our Agents sub-team focuses on developing the LLM tools and scaffolding to create highly capable LLM-based agents, while our Finetuning Team builds out finetuning pipelines to improve models on our domains of interest. The Post-Training Team is seeking strong Research Scientists to join the team. The priorities of the team include both research-oriented tasks-such as designing new techniques for scaling inference-time computation or developing methodologies for in-depth analysis of agent behaviour-and engineering-oriented tasks-like implementing new tools for our LLM agents or creating pipelines for supporting and fine-tuning large open-source models. We recognise that some technical staff may prefer to span or alternate between engineering and research responsibilities, and this versatility is something we actively look for in our hires. You'll receive mentorship and coaching from your manager and the technical leads on your team, and regularly interact with world-class researchers and other exceptional staff, including alumni from Anthropic, DeepMind and OpenAI. In addition to junior roles, we offer Senior, Staff, and Principal Research Engineer positions for candidates with the requisite seniority and experience. Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: Experience conducting empirical machine learning research (e.g. PhD in a technical field and/or papers at top ML conferences), particularly on LLMs. Experience with machine learning engineering, or extensive experience as a software engineer with a strong demonstration of relevant skills/knowledge in the machine learning. An ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Particularly strong candidates also have the following experience: Building LLM agents in industry or open-source collectives, particularly in areas adjacent to the main interests of one of our workstreams e.g. in-IDE coding assistants, research assistants etc. (for our Agents subteam) Leading research on improving and measuring the capabilities of LLM agents (for our Agents sub-team) Building pipelines for fine-tuning (or pretraining LLMs). Finetuning with RL techniques is particularly relevant (for our finetuning subteam). Finetuning or pretraining LLMs in a research context, particularly to achieve increased performance in specific domains (for our finetuning subteam). Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L3: £65,000 - £75,000 L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. Required Experience We select based on skills and experience regarding the following areas: Research problem selection Research Engineering Writing code efficiently Python Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Written communication Verbal communication Teamwork Interpersonal skills Tackle challenging problems Learn through coaching Desired Experience We additionally may factor in experience with any of the areas that our work-streams specialise in: Cyber security Chemistry or Biology Safeguards Safety Cases Societal Impacts
About the Team As AI systems become more advanced, the potential for misuse of their cyber capabilities may pose a threat to the security of organisations and individuals. Cyber capabilities also form common bottlenecks in scenarios across other AI risk areas such as harmful outcomes from biological and chemical capabilities and from autonomous systems. One approach to better understanding these risks is by conducting robust empirical tests of AI systems so we can better understand how capable they currently are when it comes to performing cyber security tasks. The AI Safety Institute's Cyber Evaluations Team is developing first-of-its-kind government-run infrastructure to benchmark the progress of advanced AI capabilities in the domain of cyber security. Our goal is to carry out and publish scientific research supporting a global effort to understand the risks and improve the safety of advanced AI systems. Our current focus is on doing this by building difficult cyber tasks that we can measure the performance of AI agents against. We are building a cross-functional team of cybersecurity researchers, machine learning researchers, research engineers and infrastructure engineers to help us create new kinds of capability and safety evaluations, and to scale up our capacity to evaluate frontier AI systems as they are released. The AI Safety Institute research unit is looking for exceptionally motivated and talented Research Engineers, to work with a range of Cyber Security and policy specialists to measure the capabilities of AI systems against scenarios covered by our risk models - with a focus on measuring their performance on tasks related to cyber security. You will play a key role in designing and running experiments on frontier models. This could include designing experiments ranging from measuring the uplift that AI systems might provide to malicious attackers, to conducting research to develop mitigations to prevent misuse of AI systems or better defend against AI enabled cyber attacks. In this role, you'll receive mentorship and coaching from your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff (including alumni from Anthropic, DeepMind, OpenAI and ML professors from Oxford and Cambridge). In addition to Junior roles, Senior, Staff and Principal RS positions are available for candidates with the required seniority and experience. Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: Relevant experience in industry, relevant open-source collectives, or academia in a field related to machine learning, AI, AI security, or computer security. Experience in building software systems to meet research requirements and have led or been a significant contributor to relevant software projects, demonstrating cross-functional collaboration skills. Knowledge of training, fine-tuning, scaffolding, prompting, deploying, and/or evaluating current cutting-edge machine learning systems such as large language models. Knowledge of statistics. A strong curiosity in understanding AI systems and studying the security implications of this technology. Motivated to conduct research that is not only curiosity driven but also solves concrete open questions in governance and policy making. Ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Bring your own voice and experience but also an eagerness to support your colleagues together with a willingness to do whatever is necessary for the team's success and find new ways of getting things done within government. Have a sense of mission, urgency, and responsibility for success, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done. Comprehensive understanding of large language models (e.g. GPT-4). This includes both a broad understanding of the literature, as well as hands-on experience with things like pre-training or fine tuning LLMs. The following are also nice-to-have: Relevant Cyber Security Expertise. Extensive Python experience, including understanding the intricacies of the language, the good vs. bad Pythonic ways of doing things and much of the wider ecosystem/tooling. Direct research experience (e.g. PhD in a technical field and/or spotlight papers at NeurIPS/ICML/ICLR). Experience working with world-class multi-disciplinary teams, including both scientists and engineers (e.g. in a top-3 lab). Acting as a bar raiser for interviews. Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L3: £65,000 - £75,000 L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. Required Experience We select based on skills and experience regarding the following areas: Research problem selection Research science Writing code efficiently Python Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Written communication Verbal communication Teamwork Interpersonal skills Tackle challenging problems Learn through coaching Desired Experience We additionally may factor in experience with any of the areas that our work-streams specialise in: Autonomous systems Cyber security Chemistry or Biology Safeguards Safety Cases Societal Impacts
Feb 11, 2025
Full time
About the Team As AI systems become more advanced, the potential for misuse of their cyber capabilities may pose a threat to the security of organisations and individuals. Cyber capabilities also form common bottlenecks in scenarios across other AI risk areas such as harmful outcomes from biological and chemical capabilities and from autonomous systems. One approach to better understanding these risks is by conducting robust empirical tests of AI systems so we can better understand how capable they currently are when it comes to performing cyber security tasks. The AI Safety Institute's Cyber Evaluations Team is developing first-of-its-kind government-run infrastructure to benchmark the progress of advanced AI capabilities in the domain of cyber security. Our goal is to carry out and publish scientific research supporting a global effort to understand the risks and improve the safety of advanced AI systems. Our current focus is on doing this by building difficult cyber tasks that we can measure the performance of AI agents against. We are building a cross-functional team of cybersecurity researchers, machine learning researchers, research engineers and infrastructure engineers to help us create new kinds of capability and safety evaluations, and to scale up our capacity to evaluate frontier AI systems as they are released. The AI Safety Institute research unit is looking for exceptionally motivated and talented Research Engineers, to work with a range of Cyber Security and policy specialists to measure the capabilities of AI systems against scenarios covered by our risk models - with a focus on measuring their performance on tasks related to cyber security. You will play a key role in designing and running experiments on frontier models. This could include designing experiments ranging from measuring the uplift that AI systems might provide to malicious attackers, to conducting research to develop mitigations to prevent misuse of AI systems or better defend against AI enabled cyber attacks. In this role, you'll receive mentorship and coaching from your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff (including alumni from Anthropic, DeepMind, OpenAI and ML professors from Oxford and Cambridge). In addition to Junior roles, Senior, Staff and Principal RS positions are available for candidates with the required seniority and experience. Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: Relevant experience in industry, relevant open-source collectives, or academia in a field related to machine learning, AI, AI security, or computer security. Experience in building software systems to meet research requirements and have led or been a significant contributor to relevant software projects, demonstrating cross-functional collaboration skills. Knowledge of training, fine-tuning, scaffolding, prompting, deploying, and/or evaluating current cutting-edge machine learning systems such as large language models. Knowledge of statistics. A strong curiosity in understanding AI systems and studying the security implications of this technology. Motivated to conduct research that is not only curiosity driven but also solves concrete open questions in governance and policy making. Ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Bring your own voice and experience but also an eagerness to support your colleagues together with a willingness to do whatever is necessary for the team's success and find new ways of getting things done within government. Have a sense of mission, urgency, and responsibility for success, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done. Comprehensive understanding of large language models (e.g. GPT-4). This includes both a broad understanding of the literature, as well as hands-on experience with things like pre-training or fine tuning LLMs. The following are also nice-to-have: Relevant Cyber Security Expertise. Extensive Python experience, including understanding the intricacies of the language, the good vs. bad Pythonic ways of doing things and much of the wider ecosystem/tooling. Direct research experience (e.g. PhD in a technical field and/or spotlight papers at NeurIPS/ICML/ICLR). Experience working with world-class multi-disciplinary teams, including both scientists and engineers (e.g. in a top-3 lab). Acting as a bar raiser for interviews. Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L3: £65,000 - £75,000 L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. Required Experience We select based on skills and experience regarding the following areas: Research problem selection Research science Writing code efficiently Python Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Written communication Verbal communication Teamwork Interpersonal skills Tackle challenging problems Learn through coaching Desired Experience We additionally may factor in experience with any of the areas that our work-streams specialise in: Autonomous systems Cyber security Chemistry or Biology Safeguards Safety Cases Societal Impacts
The Science of Evaluations Team AISI's Science of Evaluations team will conduct applied and foundational research focused on two areas at the core of our mission: (i) measuring existing frontier AI system capabilities and (ii) predicting the capabilities of a system before running an evaluation. Measurement of Capabilities: The goal is to develop and apply rigorous scientific techniques for the measurement of frontier AI system capabilities, so they are accurate, robust, and useful in decision making. This is a nascent area of research which supports one of AISI's core products: conducting tests of frontier AI systems and feeding back results, insights, and recommendations to model developers and policy makers. The team will be an independent voice on the quality of our testing reports and the limitations of our evaluations. You will collaborate closely with researchers and engineers from the workstreams who develop and run our evaluations, getting into the details of their key strengths and weaknesses, proposing improvements, and developing techniques to get the most out of our results. The key challenge is increasing the confidence in our claims about system capabilities, based on solid evidence and analysis. Directions we are exploring include: Running internal red teaming of testing exercises and adversarial collaborations with the evaluations teams, and developing "sanity checks" to ensure the claims made in our reports are as strong as possible. Example checks could include: performance as a function of context length, auditing areas with surprising model performance, checking for soft refusal performance issues, and efficient comparisons of system performance between pre-deployment and post-deployment testing. Running in-depth analyses of evaluations results to understand successes and failures and using these insights to create best practices for testing exercises. Developing our approach to uncertainty quantification and significance testing, increasing statistical power (given time and token constraints). Developing methods for inferring model capabilities across given domains from task or benchmark success rates, and assigning confidence levels to claims about capabilities. Predictive Evaluations: The goal is to develop approaches to estimate the capabilities of frontier AI systems on tasks or benchmarks, before they are run. Ideally, we would be able to do this at some point early in the training process of a new model, using information about the architecture, dataset, or training compute. This research aims to provide us with advance warning of models reaching a particular level of capability, where additional safety mitigations may need to be put in place. This work is complementary to both safety cases -an AISI foundational research effort-and AISI's general evaluations work. This topic is currently an area of active research, and we believe it is poised to develop rapidly. We are particularly interested in developing predictive evaluations for complex, long-horizon agent tasks, since we believe this will be the most important type of evaluation as AI capabilities advance. You will help develop this field of research, both by direct technical work and via collaborations with external experts, partner organizations, and policy makers. Across both focus areas, there will be significant scope to contribute to the overall vision and strategy of the science of evaluations team as an early hire. You'll receive coaching from your manager and mentorship from the research directors at AISI (including Geoffrey Irving and Yarin Gal), and work closely with talented Policy / Strategy leads and Research Engineers and Research Scientists. Responsibilities This role offers the opportunity to progress deep technical work at the frontier of AI safety and governance. Your work will include: Running internal red teaming of testing exercises and adversarial collaborations with the evaluations teams, and developing "sanity checks" to ensure the claims made in our reports are as strong as possible. Conducting in-depth analysis of evaluations methodology and results, diagnosing possible sources of uncertainty or bias, to improve our confidence in estimates of AI system capabilities. Improving the statistical analysis of evaluations results (e.g. model selection, hypothesis testing, significance testing, uncertainty quantification). Developing and implementing internal best-practices and protocols for evaluations and testing exercises. Staying well informed of the details and strengths and weaknesses of evaluations across domains in AISI and the state of the art in frontier AI evaluations research more broadly. Conducting research on predictive evaluations using the latest techniques from the published literature on AISI's internal evaluations, as well as conducting novel research to improve these techniques. Writing and editing scientific reports and other materials aimed at diverse audiences, focusing on synthesizing empirical results and recommendations to key decision-makers, ensuring high standards in clarity, precision, and style. Person Specification To set you up for success, we are looking for some of the following skills, experience and attitudes, but we are flexible in shaping the role to your background and expertise. Experience working within a world-leading team in machine learning or a related field (e.g. multiple first author publications at top-tier conferences). Strong track record of academic excellence (e.g. PhD in a technical field and/or spotlight papers at top-tier conferences). Comprehensive understanding of large language models (e.g. GPT-4). This includes both a broad understanding of the literature, hands-on experience with designing and running evaluations, scaling laws, fine-tuning, scaffolding, prompting. Broad experience in empirical research methodologies, potentially in fields outside of machine learning, and statistical analysis (T-shaped: some deep knowledge, lots of shallow knowledge, in e.g. experimental design, A/B testing, Bayesian inference, model selection, hypothesis testing, significance testing). Deeply care about methodological and statistical rigor, balanced with pragmatism, and willingness to get into the weeds. Experience with data visualization and presentation. Proven track record of excellent scientific writing and communication, with the ability to understand and communicate complex technical concepts for non-technical stakeholders and synthesize scientific results into compelling narratives. Motivated to conduct technical research with an emphasis on direct policy impact rather than exploring novel ideas. Have a sense of mission, urgency, and responsibility for success, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done. Ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team. Bring your own voice and experience but also an eagerness to support your colleagues together with a willingness to do whatever is necessary for the team's success. Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 The Department for Science, Innovation and Technology offers a competitive mix of benefits including: A culture of flexible working, such as job sharing, homeworking and compressed hours. Automatic enrolment into the Civil Service Pension Scheme , with an average employer contribution of 27%. A minimum of 25 days of paid annual leave, increasing by 1 day per year up to a maximum of 30. An extensive range of learning & professional development opportunities, which all staff are actively encouraged to pursue. Access to a range of retail, travel and lifestyle employee discounts. The Department operates a discretionary hybrid working policy, which provides for a combination of working hours from your place of work and from your home in the UK. The current expectation for staff is to attend the office or non-home based location for 40-60% of the time over the accounting period. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. The interview process may vary candidate to candidate, however, you should expect a typical process to include some technical proficiency tests, discussions with a cross-section of our team at AISI (including non-technical staff), conversations with your workstream lead. The process will culminate in a conversation with members of the senior team here at AISI. Candidates should expect to go through some or all of the following stages once an application has been submitted: Initial interview Technical take home test Second interview and review of take home test Third interview Final interview with members of the senior team Required Experience We select based on skills and experience regarding the following areas: . click apply for full job details
Feb 11, 2025
Full time
The Science of Evaluations Team AISI's Science of Evaluations team will conduct applied and foundational research focused on two areas at the core of our mission: (i) measuring existing frontier AI system capabilities and (ii) predicting the capabilities of a system before running an evaluation. Measurement of Capabilities: The goal is to develop and apply rigorous scientific techniques for the measurement of frontier AI system capabilities, so they are accurate, robust, and useful in decision making. This is a nascent area of research which supports one of AISI's core products: conducting tests of frontier AI systems and feeding back results, insights, and recommendations to model developers and policy makers. The team will be an independent voice on the quality of our testing reports and the limitations of our evaluations. You will collaborate closely with researchers and engineers from the workstreams who develop and run our evaluations, getting into the details of their key strengths and weaknesses, proposing improvements, and developing techniques to get the most out of our results. The key challenge is increasing the confidence in our claims about system capabilities, based on solid evidence and analysis. Directions we are exploring include: Running internal red teaming of testing exercises and adversarial collaborations with the evaluations teams, and developing "sanity checks" to ensure the claims made in our reports are as strong as possible. Example checks could include: performance as a function of context length, auditing areas with surprising model performance, checking for soft refusal performance issues, and efficient comparisons of system performance between pre-deployment and post-deployment testing. Running in-depth analyses of evaluations results to understand successes and failures and using these insights to create best practices for testing exercises. Developing our approach to uncertainty quantification and significance testing, increasing statistical power (given time and token constraints). Developing methods for inferring model capabilities across given domains from task or benchmark success rates, and assigning confidence levels to claims about capabilities. Predictive Evaluations: The goal is to develop approaches to estimate the capabilities of frontier AI systems on tasks or benchmarks, before they are run. Ideally, we would be able to do this at some point early in the training process of a new model, using information about the architecture, dataset, or training compute. This research aims to provide us with advance warning of models reaching a particular level of capability, where additional safety mitigations may need to be put in place. This work is complementary to both safety cases -an AISI foundational research effort-and AISI's general evaluations work. This topic is currently an area of active research, and we believe it is poised to develop rapidly. We are particularly interested in developing predictive evaluations for complex, long-horizon agent tasks, since we believe this will be the most important type of evaluation as AI capabilities advance. You will help develop this field of research, both by direct technical work and via collaborations with external experts, partner organizations, and policy makers. Across both focus areas, there will be significant scope to contribute to the overall vision and strategy of the science of evaluations team as an early hire. You'll receive coaching from your manager and mentorship from the research directors at AISI (including Geoffrey Irving and Yarin Gal), and work closely with talented Policy / Strategy leads and Research Engineers and Research Scientists. Responsibilities This role offers the opportunity to progress deep technical work at the frontier of AI safety and governance. Your work will include: Running internal red teaming of testing exercises and adversarial collaborations with the evaluations teams, and developing "sanity checks" to ensure the claims made in our reports are as strong as possible. Conducting in-depth analysis of evaluations methodology and results, diagnosing possible sources of uncertainty or bias, to improve our confidence in estimates of AI system capabilities. Improving the statistical analysis of evaluations results (e.g. model selection, hypothesis testing, significance testing, uncertainty quantification). Developing and implementing internal best-practices and protocols for evaluations and testing exercises. Staying well informed of the details and strengths and weaknesses of evaluations across domains in AISI and the state of the art in frontier AI evaluations research more broadly. Conducting research on predictive evaluations using the latest techniques from the published literature on AISI's internal evaluations, as well as conducting novel research to improve these techniques. Writing and editing scientific reports and other materials aimed at diverse audiences, focusing on synthesizing empirical results and recommendations to key decision-makers, ensuring high standards in clarity, precision, and style. Person Specification To set you up for success, we are looking for some of the following skills, experience and attitudes, but we are flexible in shaping the role to your background and expertise. Experience working within a world-leading team in machine learning or a related field (e.g. multiple first author publications at top-tier conferences). Strong track record of academic excellence (e.g. PhD in a technical field and/or spotlight papers at top-tier conferences). Comprehensive understanding of large language models (e.g. GPT-4). This includes both a broad understanding of the literature, hands-on experience with designing and running evaluations, scaling laws, fine-tuning, scaffolding, prompting. Broad experience in empirical research methodologies, potentially in fields outside of machine learning, and statistical analysis (T-shaped: some deep knowledge, lots of shallow knowledge, in e.g. experimental design, A/B testing, Bayesian inference, model selection, hypothesis testing, significance testing). Deeply care about methodological and statistical rigor, balanced with pragmatism, and willingness to get into the weeds. Experience with data visualization and presentation. Proven track record of excellent scientific writing and communication, with the ability to understand and communicate complex technical concepts for non-technical stakeholders and synthesize scientific results into compelling narratives. Motivated to conduct technical research with an emphasis on direct policy impact rather than exploring novel ideas. Have a sense of mission, urgency, and responsibility for success, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done. Ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team. Bring your own voice and experience but also an eagerness to support your colleagues together with a willingness to do whatever is necessary for the team's success. Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 The Department for Science, Innovation and Technology offers a competitive mix of benefits including: A culture of flexible working, such as job sharing, homeworking and compressed hours. Automatic enrolment into the Civil Service Pension Scheme , with an average employer contribution of 27%. A minimum of 25 days of paid annual leave, increasing by 1 day per year up to a maximum of 30. An extensive range of learning & professional development opportunities, which all staff are actively encouraged to pursue. Access to a range of retail, travel and lifestyle employee discounts. The Department operates a discretionary hybrid working policy, which provides for a combination of working hours from your place of work and from your home in the UK. The current expectation for staff is to attend the office or non-home based location for 40-60% of the time over the accounting period. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. The interview process may vary candidate to candidate, however, you should expect a typical process to include some technical proficiency tests, discussions with a cross-section of our team at AISI (including non-technical staff), conversations with your workstream lead. The process will culminate in a conversation with members of the senior team here at AISI. Candidates should expect to go through some or all of the following stages once an application has been submitted: Initial interview Technical take home test Second interview and review of take home test Third interview Final interview with members of the senior team Required Experience We select based on skills and experience regarding the following areas: . click apply for full job details
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 global hybrid work setup (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 the Team Expedia Product & Technology builds 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 for the traveler and our partners that drive loyalty and customer satisfaction. This position sits with our growing Traveler Voice and Content team. This position focuses on the development of Generative AI-powered Travel Discovery and Shopping experiences. The ideal candidate for this position is a true deep learning expert with strong knowledge and background in both recommender systems as well as Generative AI. Innovation and developing cutting-edge technology as well as implementing industry-leading solutions are key responsibilities of this role. The machine learning models and algorithms you develop will improve the experiences of millions of travelers and travel partners each year. What You'll Do: Conduct research and development in the following areas: Large Language Models (LLMs), Generative Retrieval, Sequential Recommender models, Mixture of Expert models, AI Agents and Multi-modal foundational models. Develop Deep Learning AI models with superior performance to power Expedia's Travel platform. Conduct analysis of the model performance using data collected from the field. Optimize existing models for improved accuracy and better performance. Produce novel insights with machine learning to advise company strategy. Communicate sophisticated concepts and the results of the analyses in a clear and effective manner. Who You Are: You have a Master's Degree or Ph.D. in Computer Science, Statistics, Math, Engineering or equivalent experience. You have experience in Generative AI and/or Recommender Systems, Deep Learning, Data/Machine Learning Science. You possess expert knowledge of Python programming language. You have a strong knowledge and expertise in PyTorch and/or TensorFlow. You have proven knowledge of processing and analyzing large scale data volumes, structured and unstructured data and near real-time throughput. 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. Company: Expedia Group Level of Experience: Senior (5+ years of experience) 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.
Feb 10, 2025
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 global hybrid work setup (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 the Team Expedia Product & Technology builds 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 for the traveler and our partners that drive loyalty and customer satisfaction. This position sits with our growing Traveler Voice and Content team. This position focuses on the development of Generative AI-powered Travel Discovery and Shopping experiences. The ideal candidate for this position is a true deep learning expert with strong knowledge and background in both recommender systems as well as Generative AI. Innovation and developing cutting-edge technology as well as implementing industry-leading solutions are key responsibilities of this role. The machine learning models and algorithms you develop will improve the experiences of millions of travelers and travel partners each year. What You'll Do: Conduct research and development in the following areas: Large Language Models (LLMs), Generative Retrieval, Sequential Recommender models, Mixture of Expert models, AI Agents and Multi-modal foundational models. Develop Deep Learning AI models with superior performance to power Expedia's Travel platform. Conduct analysis of the model performance using data collected from the field. Optimize existing models for improved accuracy and better performance. Produce novel insights with machine learning to advise company strategy. Communicate sophisticated concepts and the results of the analyses in a clear and effective manner. Who You Are: You have a Master's Degree or Ph.D. in Computer Science, Statistics, Math, Engineering or equivalent experience. You have experience in Generative AI and/or Recommender Systems, Deep Learning, Data/Machine Learning Science. You possess expert knowledge of Python programming language. You have a strong knowledge and expertise in PyTorch and/or TensorFlow. You have proven knowledge of processing and analyzing large scale data volumes, structured and unstructured data and near real-time throughput. 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. Company: Expedia Group Level of Experience: Senior (5+ years of experience) Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Senior Data Scientist, Computer Vision Research & Development Permanent - Full Time Location: London or Salford Job Closing Date: 13/02/2025 THE ROLE Salary range: Up to £78,800 depending on relevant skills, knowledge and experience. Our comprehensive benefits package includes: An employer pension contribution of up to 10% 26 days' annual leave (based on full time hours) + bank holidays and the option to buy/sell additional days Contributory lifestyle benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role An inclusive and diverse environment with opportunities to join staff networks Family friendly flexible working arrangements, such as hybrid working, job sharing, flexitime and compressed hours can be requested. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. Reporting to the Computer Vision Lead, the Senior Data Scientist will join a team of machine learning researchers focusing on computer vision. As a Senior Data Scientist, you will play a critical role in advancing the use of AI and machine learning within the BBC. This is a hands-on role that requires deep technical expertise and innovative thinking. Key Responsibilities Contribute technical expertise to projects focused on computer vision. Design, develop, and deploy machine learning models and algorithms tailored to BBC's needs. Conduct comprehensive evaluation and validation of models, focusing on accuracy, robustness, scalability, and efficiency. Collaborate with multidisciplinary teams to integrate ML solutions into BBC services. Stay up to date with the latest advancements in AI and machine learning. Conduct cutting-edge research and publish findings in top-tier journals and conferences. Are you the right candidate Ph.D. in Machine Learning, Computer Science, or a related field. Familiarity with cutting-edge computer vision models (e.g., ViT, diffusion models). Proficiency with machine learning frameworks like PyTorch, TensorFlow, and Scikit-Learn. Excellent programming skills in Python. Experience in designing experiments and building training frameworks. Knowledge of cloud computing deployment and MLOps. Strong problem-solving skills with a scientific mindset. Experience in applying machine learning to solve real-world problems. Excellent communication skills for effectively conveying technical concepts. About the BBC The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons and they will be given priority consideration ahead of other applicants. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. DISCLAIMER This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance.
Feb 10, 2025
Full time
Senior Data Scientist, Computer Vision Research & Development Permanent - Full Time Location: London or Salford Job Closing Date: 13/02/2025 THE ROLE Salary range: Up to £78,800 depending on relevant skills, knowledge and experience. Our comprehensive benefits package includes: An employer pension contribution of up to 10% 26 days' annual leave (based on full time hours) + bank holidays and the option to buy/sell additional days Contributory lifestyle benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role An inclusive and diverse environment with opportunities to join staff networks Family friendly flexible working arrangements, such as hybrid working, job sharing, flexitime and compressed hours can be requested. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. Reporting to the Computer Vision Lead, the Senior Data Scientist will join a team of machine learning researchers focusing on computer vision. As a Senior Data Scientist, you will play a critical role in advancing the use of AI and machine learning within the BBC. This is a hands-on role that requires deep technical expertise and innovative thinking. Key Responsibilities Contribute technical expertise to projects focused on computer vision. Design, develop, and deploy machine learning models and algorithms tailored to BBC's needs. Conduct comprehensive evaluation and validation of models, focusing on accuracy, robustness, scalability, and efficiency. Collaborate with multidisciplinary teams to integrate ML solutions into BBC services. Stay up to date with the latest advancements in AI and machine learning. Conduct cutting-edge research and publish findings in top-tier journals and conferences. Are you the right candidate Ph.D. in Machine Learning, Computer Science, or a related field. Familiarity with cutting-edge computer vision models (e.g., ViT, diffusion models). Proficiency with machine learning frameworks like PyTorch, TensorFlow, and Scikit-Learn. Excellent programming skills in Python. Experience in designing experiments and building training frameworks. Knowledge of cloud computing deployment and MLOps. Strong problem-solving skills with a scientific mindset. Experience in applying machine learning to solve real-world problems. Excellent communication skills for effectively conveying technical concepts. About the BBC The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons and they will be given priority consideration ahead of other applicants. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. DISCLAIMER This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance.
Contract Type: Regular Schedule: 35 Job ID: R86904 Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below: LexisNexis Risk . About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders; you will be a collaborator and have excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. 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. 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 Applicant Request Support Form or please contact 1-. EEO is the Law Supplement. Pay Transparency.
Feb 09, 2025
Full time
Contract Type: Regular Schedule: 35 Job ID: R86904 Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below: LexisNexis Risk . About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders; you will be a collaborator and have excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. 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. 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 Applicant Request Support Form or please contact 1-. EEO is the Law Supplement. Pay Transparency.
StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance every day. StackAdapt was founded with a vision to be more than an advertising platform, it's a hub of innovation, imagination, and creativity. We are searching for a talented Data Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK for this position. What you'll be doing: Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the-art methods, to development using a deep understanding of classic methods. Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms. Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights. What you'll bring to the table: Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus. Have the ability to take an ambiguously defined task, and break it down into actionable steps. Have a comprehensive understanding of statistics, optimization, and machine learning. Are proficient in coding, data structures, and algorithms. Enjoy working in a friendly, collaborative environment with others. StackAdapters enjoy: Competitive salary. Private Medical Insurance cover. Auto-enrolment into the company pension scheme. Work from home reimbursements. Coverage and support of personal development initiatives (conferences, courses, etc). An awesome parental leave policy. A friendly, welcoming, and supportive culture. Our social and team events (virtually!). Take part in our walk and wander policy and work anywhere in the world for up to 90 days a year. If this role speaks to you then please submit an application - we'd love to speak with you. Due to a high volume of interest, only those shortlisted for interview will be contacted. StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you're comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: Ad Age Best Places to Work 2024 G2 Top Software and Top Marketing and Advertising Product for 2024 Campaign's Best Places to Work 2023 for the UK 2024 Best Workplaces for Women and in Canada by Great Place to Work DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Feb 09, 2025
Full time
StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance every day. StackAdapt was founded with a vision to be more than an advertising platform, it's a hub of innovation, imagination, and creativity. We are searching for a talented Data Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK for this position. What you'll be doing: Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the-art methods, to development using a deep understanding of classic methods. Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms. Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights. What you'll bring to the table: Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus. Have the ability to take an ambiguously defined task, and break it down into actionable steps. Have a comprehensive understanding of statistics, optimization, and machine learning. Are proficient in coding, data structures, and algorithms. Enjoy working in a friendly, collaborative environment with others. StackAdapters enjoy: Competitive salary. Private Medical Insurance cover. Auto-enrolment into the company pension scheme. Work from home reimbursements. Coverage and support of personal development initiatives (conferences, courses, etc). An awesome parental leave policy. A friendly, welcoming, and supportive culture. Our social and team events (virtually!). Take part in our walk and wander policy and work anywhere in the world for up to 90 days a year. If this role speaks to you then please submit an application - we'd love to speak with you. Due to a high volume of interest, only those shortlisted for interview will be contacted. StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you're comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: Ad Age Best Places to Work 2024 G2 Top Software and Top Marketing and Advertising Product for 2024 Campaign's Best Places to Work 2023 for the UK 2024 Best Workplaces for Women and in Canada by Great Place to Work DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Location(s): UK, Europe & Africa : UK : London BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Data Scientist Requisition ID: 121365 Location: London - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Grade: GG11-GG12 Referral Bonus: £5,000 Job Description Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Data Scientist. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identify where AI/ML-based solutions can add value. You will lead on discovery activities to explore opportunities for applying data science techniques to solve customer problems. Working with them, you'll test assumptions on the effectiveness of AI/ML to meet their needs. You will work as part of an empowered, multi-disciplinary AI team whose purpose is to develop common AI propositions that will benefit a range of our customers. Working alongside ML Engineers, AI Strategy Lead and Delivery Management, you will help shape and execute our AI Strategy focused on: Our Customers: Elaborate user needs and measure AI value Our Position: Establish our market position and define our USP Our Skills: Develop our career paths and learning plans for AI Our Partners: Understand technology partner capabilities and build our AI partner ecosystem Our Innovation: Learn through AI experiments and demonstrate pull-through to product development Working in a small team you'll be given as much ownership and responsibility as you have the appetite for, but be part of our much bigger National Security community that will give you the support you need to grow in your career. Our unique customers have interesting, complex data they wish to exploit. You will demonstrate the potential of applying data science approaches to meet their business needs. You will be expected to develop, test and validate machine learning models, providing guidance to others where needed. As a leading AI expert, you'll provide strategic & technical advice to our customers and consider the ethical implications of applying data science approaches in the context of customers' missions. We're embarking upon a pivotal period that will significantly grow our AI capability, where you will be leading on the development of innovative products & services that support our customers' missions. Our senior leadership team will seek your advice on how best to position our AI proposition to customers. You'll have the opportunity to get to know our own business and work with people across a diverse range of professional backgrounds. This is an exciting time to join our team to help pioneer both our customer's and our own AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you'll be doing it for an organisation that makes a huge impact on the security of the UK. About you You will have experience in many of the following: Analysis of user needs and advising on the use of relevant standards, methods, tools, frameworks, and processes for data science. Creatively applying innovative thinking and design practices to identify solutions that will deliver value for the benefit of the customer/stakeholder. Employing data science algorithms and methods for complex data processing, statistical analysis, and advanced analytics. Collaboratively designing & building prototypes and Proof of Concept solutions. Conducting data preparation, modelling, labelling, and transformation of 'messy' data, to make ready for the application of data science techniques. Applying AI/ML approaches through design, development, and optimisation of machine learning solutions. Understanding of ethical, privacy, security, and policy concerns relevant to the application of AI/ML. Coding of complex programs and scripts, expert in Python programming. Supervising junior analysts/scientists and ML engineers, providing guidance & coaching. Performing assessment of AI-related risks, identifying recommended mitigations. Shaping product roadmaps & informing strategies to adopt AI/ML. Offering thought leadership on data science trends, benefits, and key considerations presenting to wider communities e.g. blogs, events, and conferences. It would be great if you also had experience in some of these, but if not, we'll help you with them: Developing in Cloud Computing such as AWS, MS Azure. Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes. Designing and modelling AI/ML architectures. Relational, document, search or graph database systems. Containerisation e.g. Docker, Kubernetes. Producing data science learning plans to meet skills needs. Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office. You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before. Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more. You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE. You'll be part of our company bonus scheme. You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us; they are resourceful, innovative, and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020, we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. More about BAE Systems You will work for a division of BAE Systems who helps nations, governments, and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We're a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You'll get to work on a variety of different systems for different customers throughout your career with us. We're passionate about Diversity and Inclusion in our workforce and the people you'll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK, and EMEA. For more information please visit our website: Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate, and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence . click apply for full job details
Feb 09, 2025
Full time
Location(s): UK, Europe & Africa : UK : London BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Data Scientist Requisition ID: 121365 Location: London - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Grade: GG11-GG12 Referral Bonus: £5,000 Job Description Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Data Scientist. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identify where AI/ML-based solutions can add value. You will lead on discovery activities to explore opportunities for applying data science techniques to solve customer problems. Working with them, you'll test assumptions on the effectiveness of AI/ML to meet their needs. You will work as part of an empowered, multi-disciplinary AI team whose purpose is to develop common AI propositions that will benefit a range of our customers. Working alongside ML Engineers, AI Strategy Lead and Delivery Management, you will help shape and execute our AI Strategy focused on: Our Customers: Elaborate user needs and measure AI value Our Position: Establish our market position and define our USP Our Skills: Develop our career paths and learning plans for AI Our Partners: Understand technology partner capabilities and build our AI partner ecosystem Our Innovation: Learn through AI experiments and demonstrate pull-through to product development Working in a small team you'll be given as much ownership and responsibility as you have the appetite for, but be part of our much bigger National Security community that will give you the support you need to grow in your career. Our unique customers have interesting, complex data they wish to exploit. You will demonstrate the potential of applying data science approaches to meet their business needs. You will be expected to develop, test and validate machine learning models, providing guidance to others where needed. As a leading AI expert, you'll provide strategic & technical advice to our customers and consider the ethical implications of applying data science approaches in the context of customers' missions. We're embarking upon a pivotal period that will significantly grow our AI capability, where you will be leading on the development of innovative products & services that support our customers' missions. Our senior leadership team will seek your advice on how best to position our AI proposition to customers. You'll have the opportunity to get to know our own business and work with people across a diverse range of professional backgrounds. This is an exciting time to join our team to help pioneer both our customer's and our own AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you'll be doing it for an organisation that makes a huge impact on the security of the UK. About you You will have experience in many of the following: Analysis of user needs and advising on the use of relevant standards, methods, tools, frameworks, and processes for data science. Creatively applying innovative thinking and design practices to identify solutions that will deliver value for the benefit of the customer/stakeholder. Employing data science algorithms and methods for complex data processing, statistical analysis, and advanced analytics. Collaboratively designing & building prototypes and Proof of Concept solutions. Conducting data preparation, modelling, labelling, and transformation of 'messy' data, to make ready for the application of data science techniques. Applying AI/ML approaches through design, development, and optimisation of machine learning solutions. Understanding of ethical, privacy, security, and policy concerns relevant to the application of AI/ML. Coding of complex programs and scripts, expert in Python programming. Supervising junior analysts/scientists and ML engineers, providing guidance & coaching. Performing assessment of AI-related risks, identifying recommended mitigations. Shaping product roadmaps & informing strategies to adopt AI/ML. Offering thought leadership on data science trends, benefits, and key considerations presenting to wider communities e.g. blogs, events, and conferences. It would be great if you also had experience in some of these, but if not, we'll help you with them: Developing in Cloud Computing such as AWS, MS Azure. Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes. Designing and modelling AI/ML architectures. Relational, document, search or graph database systems. Containerisation e.g. Docker, Kubernetes. Producing data science learning plans to meet skills needs. Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office. You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before. Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more. You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE. You'll be part of our company bonus scheme. You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us; they are resourceful, innovative, and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020, we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. More about BAE Systems You will work for a division of BAE Systems who helps nations, governments, and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We're a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You'll get to work on a variety of different systems for different customers throughout your career with us. We're passionate about Diversity and Inclusion in our workforce and the people you'll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK, and EMEA. For more information please visit our website: Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate, and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence . click apply for full job details
Our startup client based in London is looking for a Senior Software Engineer. You'll be joining a team of four (CEO, CTO, Chief Scientist, and Head of Engineering) as the first software engineer. This role grants you a significant degree of autonomy and influence over the development and direction of the platform and product. You will be building a SaaS product that will allow materials engineers to leverage cutting-edge AI in their work. You'll work on: Building a robust cloud platform for scheduling the training and serving of bespoke AI models for their customers. A rich web-based image manipulation application for pre-processing image data that is used to train machine learning models. What You'll Do: Collaborate closely with the founders and early customers to design the architecture of the platform. Take full ownership of the product lifecycle, delivering end-to-end solutions. Work with a modern tech stack including TypeScript, React/Next.js, Python, AWS, Docker, and Kubernetes. Requirements: A degree in Computer Science or a related field. Experience in startups, ideally with a founder background essential. Strong focus on high-quality software engineering and cloud-based solutions. Expertise in TypeScript and Python, with a full-stack skill set. Willingness to work across both front-end and back-end development (initially front-end focused, but likely to evolve). Comfort with product ownership and customer interactions. Experience with stakeholder management is a plus. At this early stage of the company's development you'll be in the office 5 days a week. If this opportunity sounds interesting, then apply today!
Feb 09, 2025
Full time
Our startup client based in London is looking for a Senior Software Engineer. You'll be joining a team of four (CEO, CTO, Chief Scientist, and Head of Engineering) as the first software engineer. This role grants you a significant degree of autonomy and influence over the development and direction of the platform and product. You will be building a SaaS product that will allow materials engineers to leverage cutting-edge AI in their work. You'll work on: Building a robust cloud platform for scheduling the training and serving of bespoke AI models for their customers. A rich web-based image manipulation application for pre-processing image data that is used to train machine learning models. What You'll Do: Collaborate closely with the founders and early customers to design the architecture of the platform. Take full ownership of the product lifecycle, delivering end-to-end solutions. Work with a modern tech stack including TypeScript, React/Next.js, Python, AWS, Docker, and Kubernetes. Requirements: A degree in Computer Science or a related field. Experience in startups, ideally with a founder background essential. Strong focus on high-quality software engineering and cloud-based solutions. Expertise in TypeScript and Python, with a full-stack skill set. Willingness to work across both front-end and back-end development (initially front-end focused, but likely to evolve). Comfort with product ownership and customer interactions. Experience with stakeholder management is a plus. At this early stage of the company's development you'll be in the office 5 days a week. If this opportunity sounds interesting, then apply today!
Senior Corporate Counsel, Devices, AGI and Books Legal EMEA We are looking for a talented and experienced attorney to help support some of our most cutting-edge machine learning and artificial intelligence initiatives, as we continue to bring delightful new products and services to our customers around the world. You will be responsible for providing legal support to our European policy teams and other internal stakeholders on AI regulatory, compliance and copyright issues. Key job responsibilities: You will advise one or more business teams and business leaders and other internal stakeholders on a broad range of public policy, regulatory, compliance and copyright issues involving artificial intelligence and machine learning like the EU AI Act, national AI legislation, international AI treaties and AI copyright legislative initiatives. You will partner closely with legal and public policy colleagues in the U.S. and across the globe, scientists, engineers, and other cross-functional stakeholders to develop policy positions, and you will be a critical member of the team supporting European policy engagement. You will also help drive responses on regulatory engagement related to AI in Europe and support the development of relationships with relevant regulators. And you'll do all of this with support from and in collaboration with a dynamic, experienced, and global team of lawyers at Amazon Legal. To be successful in this role, you will need to be curious, innovative, and enthusiastic about tech. You should enjoy being challenged, demonstrate sound judgment even in ambiguous situations, and thrive in a team-oriented environment. About the team: You will be part of Amazon's Devices, AGI and Books EMEA legal team with a diverse group of lawyers located in various offices across the region providing legal support to Amazon's devices, Alexa, AGI, Kindle and books businesses in the EMEA region. Minimum Qualifications: Fully qualified lawyer with excellent academics. Significant post-qualification experience, with a minimum of 10+ years post bar admission. Excellent interpersonal and communication skills and the ability to manage teams and act as a business partner to our business teams. Outstanding legal and business judgment; Strong strategic organizational and project management skills, drafting, negotiation, analytical, management and leadership skills. Excellent English language skills that include the ability to draft and negotiate contracts. Proven ability to deal with ambiguity and to work well with all levels of employees and management. Preferred Qualifications: Previous knowledge or experience with legal and regulatory issues related to AI is preferred. Combination of law firm and in-house experience a plus. Proficiency in an additional language apart from English (German, French, Italian or Spanish) preferred. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Feb 09, 2025
Full time
Senior Corporate Counsel, Devices, AGI and Books Legal EMEA We are looking for a talented and experienced attorney to help support some of our most cutting-edge machine learning and artificial intelligence initiatives, as we continue to bring delightful new products and services to our customers around the world. You will be responsible for providing legal support to our European policy teams and other internal stakeholders on AI regulatory, compliance and copyright issues. Key job responsibilities: You will advise one or more business teams and business leaders and other internal stakeholders on a broad range of public policy, regulatory, compliance and copyright issues involving artificial intelligence and machine learning like the EU AI Act, national AI legislation, international AI treaties and AI copyright legislative initiatives. You will partner closely with legal and public policy colleagues in the U.S. and across the globe, scientists, engineers, and other cross-functional stakeholders to develop policy positions, and you will be a critical member of the team supporting European policy engagement. You will also help drive responses on regulatory engagement related to AI in Europe and support the development of relationships with relevant regulators. And you'll do all of this with support from and in collaboration with a dynamic, experienced, and global team of lawyers at Amazon Legal. To be successful in this role, you will need to be curious, innovative, and enthusiastic about tech. You should enjoy being challenged, demonstrate sound judgment even in ambiguous situations, and thrive in a team-oriented environment. About the team: You will be part of Amazon's Devices, AGI and Books EMEA legal team with a diverse group of lawyers located in various offices across the region providing legal support to Amazon's devices, Alexa, AGI, Kindle and books businesses in the EMEA region. Minimum Qualifications: Fully qualified lawyer with excellent academics. Significant post-qualification experience, with a minimum of 10+ years post bar admission. Excellent interpersonal and communication skills and the ability to manage teams and act as a business partner to our business teams. Outstanding legal and business judgment; Strong strategic organizational and project management skills, drafting, negotiation, analytical, management and leadership skills. Excellent English language skills that include the ability to draft and negotiate contracts. Proven ability to deal with ambiguity and to work well with all levels of employees and management. Preferred Qualifications: Previous knowledge or experience with legal and regulatory issues related to AI is preferred. Combination of law firm and in-house experience a plus. Proficiency in an additional language apart from English (German, French, Italian or Spanish) preferred. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
At Virgin Red, our progressive Data Science team has been collecting rich member data to understand wants, needs, and habits. We've already built impactful products, including a rewards recommender system and predictive models that enhance marketing efforts. As we grow and connect with our Virgin companies, we're looking to expand on the ways we use data to benefit our members and partners. In this Senior Data Scientist role, you'll play a key part in developing recommender systems and shaping the future of a dynamic offer platform. You'll collaborate with cross-functional teams to refine, enhance, and expand models and algorithms. Our Virgin Family Join the Virgin Group - a diverse collective driving change, enhancing customer experience, and having a blast. We're daring, disrupting industries from finance to space, united as part of the Virgin Family. Virgin Red rewards customers who live the Virgin lifestyle. Earn Virgin Points across our vast partner network, unlocking everyday rewards and exclusive experiences. As the Virgin network hub, we foster deeper customer understanding, opening doors for partners. Bold, distinctive, customer-centric - that's Virgin Red. Responsibilities Develop, maintain, and improve our recommender systems, dynamic offers, and machine learning models. Develop an in-depth understanding of Virgin's datasets, and act as a Subject Matter Expert. Own the technical development of their products and models, collaborating with Stakeholders, Product Managers and Lead Data Scientist on priorities, planning and delivery. Communicate with stakeholders to show progress, demo or present work and resolve changes or issues. Conduct research to develop proof of concepts and prototypes for new data products, utilising state-of-the-art algorithms, libraries, and frameworks. Work with the Machine Learning Engineer to productionise algorithms/models and continually monitor and test quality. Work closely with Analytics and the Data Platform teams, along with cross-functional squads, to ensure Data Science is represented throughout the organisation. Champion a data-driven culture at Virgin Red by demonstrating best practices in A/B testing, supporting knowledge-sharing sessions and strategic analytical projects. Ensure Data Science initiatives are customer-centric, advocating for customer needs while aligning solutions with partner goals and objectives. Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and experimentation. What you'll need An experienced Data Scientist with in depth coding experience in Python and SQL. Passion for learning. Whether it's testing out a new tool, reading up on the latest research or trying to understand why something works as it does, you are always reflecting on what can be improved. Project experience working with large datasets and messy data. Industry experience in developing recommender systems and/or dynamic offer-based solutions. Examples of directing on Data Science projects and how you have worked with other teams across the business. Experience deploying a model you have built into production. Self motivated problem solver with a curious mind. Ability to describe and compare Machine Learning algorithms, giving examples of where and how you have used them. The extra details Role type : 6-month contract Location : London (at least once per month) & your home space Salary : £88,000-93,000 plus completion bonus - We're putting our salaries out there for everyone to see - no smoke and mirrors, just honest numbers. We'll offer a salary that matches your skills, always aiming for room to grow. Working hours : Full time - We embrace flexible working. Let us know what hours empower you to be at your best both professionally and personally, we'll try to find a perfect match for you and us. Benefits Buckle up for an adventure with Virgin! Our benefits package isn't just a list - it's your ticket to an extraordinary career and life. Imagine unlimited leave for your globe-trotting dreams, a "Screw it, let's do it pot" to enjoy being you, and a learning budget to fuel your curiosity. We've got your back with top-notch health care, family support that goes the extra mile, and a pension plan to keep your future bright. From electric vehicles to flexible volunteering, we're not just offering a job - we're inviting you to join a community that celebrates your whole self. Closing date 13th February 2025 Some of the attributes that define a Virgin person just can't be quantified in words. We pride ourselves on welcoming people from all walks of life, with all sorts of skill sets. Most recently, we successfully campaigned to add 'Dyslexic Thinking' as a skill on LinkedIn. Any uniqueness is a strength and will be considered an asset to our workforce. If there is something you would like us to consider, to tailor the hiring process to the way you work best, please don't hesitate to let us know. Ready to turn your career into the ultimate adventure? Virgin's got the map, the compass, and the crew. Your great adventure awaits!
Feb 09, 2025
Full time
At Virgin Red, our progressive Data Science team has been collecting rich member data to understand wants, needs, and habits. We've already built impactful products, including a rewards recommender system and predictive models that enhance marketing efforts. As we grow and connect with our Virgin companies, we're looking to expand on the ways we use data to benefit our members and partners. In this Senior Data Scientist role, you'll play a key part in developing recommender systems and shaping the future of a dynamic offer platform. You'll collaborate with cross-functional teams to refine, enhance, and expand models and algorithms. Our Virgin Family Join the Virgin Group - a diverse collective driving change, enhancing customer experience, and having a blast. We're daring, disrupting industries from finance to space, united as part of the Virgin Family. Virgin Red rewards customers who live the Virgin lifestyle. Earn Virgin Points across our vast partner network, unlocking everyday rewards and exclusive experiences. As the Virgin network hub, we foster deeper customer understanding, opening doors for partners. Bold, distinctive, customer-centric - that's Virgin Red. Responsibilities Develop, maintain, and improve our recommender systems, dynamic offers, and machine learning models. Develop an in-depth understanding of Virgin's datasets, and act as a Subject Matter Expert. Own the technical development of their products and models, collaborating with Stakeholders, Product Managers and Lead Data Scientist on priorities, planning and delivery. Communicate with stakeholders to show progress, demo or present work and resolve changes or issues. Conduct research to develop proof of concepts and prototypes for new data products, utilising state-of-the-art algorithms, libraries, and frameworks. Work with the Machine Learning Engineer to productionise algorithms/models and continually monitor and test quality. Work closely with Analytics and the Data Platform teams, along with cross-functional squads, to ensure Data Science is represented throughout the organisation. Champion a data-driven culture at Virgin Red by demonstrating best practices in A/B testing, supporting knowledge-sharing sessions and strategic analytical projects. Ensure Data Science initiatives are customer-centric, advocating for customer needs while aligning solutions with partner goals and objectives. Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and experimentation. What you'll need An experienced Data Scientist with in depth coding experience in Python and SQL. Passion for learning. Whether it's testing out a new tool, reading up on the latest research or trying to understand why something works as it does, you are always reflecting on what can be improved. Project experience working with large datasets and messy data. Industry experience in developing recommender systems and/or dynamic offer-based solutions. Examples of directing on Data Science projects and how you have worked with other teams across the business. Experience deploying a model you have built into production. Self motivated problem solver with a curious mind. Ability to describe and compare Machine Learning algorithms, giving examples of where and how you have used them. The extra details Role type : 6-month contract Location : London (at least once per month) & your home space Salary : £88,000-93,000 plus completion bonus - We're putting our salaries out there for everyone to see - no smoke and mirrors, just honest numbers. We'll offer a salary that matches your skills, always aiming for room to grow. Working hours : Full time - We embrace flexible working. Let us know what hours empower you to be at your best both professionally and personally, we'll try to find a perfect match for you and us. Benefits Buckle up for an adventure with Virgin! Our benefits package isn't just a list - it's your ticket to an extraordinary career and life. Imagine unlimited leave for your globe-trotting dreams, a "Screw it, let's do it pot" to enjoy being you, and a learning budget to fuel your curiosity. We've got your back with top-notch health care, family support that goes the extra mile, and a pension plan to keep your future bright. From electric vehicles to flexible volunteering, we're not just offering a job - we're inviting you to join a community that celebrates your whole self. Closing date 13th February 2025 Some of the attributes that define a Virgin person just can't be quantified in words. We pride ourselves on welcoming people from all walks of life, with all sorts of skill sets. Most recently, we successfully campaigned to add 'Dyslexic Thinking' as a skill on LinkedIn. Any uniqueness is a strength and will be considered an asset to our workforce. If there is something you would like us to consider, to tailor the hiring process to the way you work best, please don't hesitate to let us know. Ready to turn your career into the ultimate adventure? Virgin's got the map, the compass, and the crew. Your great adventure awaits!
Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Reporting To: Beth Rice Compensation: £110,000 - £130,000 / year Description At Field, we have spent the last few years developing our automated energy trading platform, Gaia. We deployed Gaia to trade in real-time for our first physical asset in GB in early November 2024. We are improving our algorithms all the time, and over the coming years we will be deploying Gaia on more GB assets as well as assets across Europe (Germany, Italy and Spain). You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more. This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position to participate in an on-call rotation as part of a small team. The market is 24 hours a day, 365 days a year, and you will be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we improve Gaia and deploy it for dozens of assets in the UK and across Europe. Key Responsibilities This is a broad and varied role with the opportunity to have massive impact. As part of the team, you will: Develop algorithms to trade, forecast and co-optimise revenues across multiple markets Be part of the team that manages live trading and physical assets, and provide 24/7 support Deploy and maintain real-time, mission-critical software Develop the ability to inform and/or override algorithmic decisions in volatile market conditions Present trading results to senior management Identify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategies Drive the development of the product roadmap Skills, Knowledge & Expertise A bit about you You're up for an operational role and are keen to get stuck into trading in the power markets. You are happy to be flexible with working hours and are able to be on-call . You're a clear, impactful communicator , able to articulate complex concepts to technical and non-technical audiences. You thrive in autonomous work environments with a positive and proactive approach. You're excited to learn - you enjoy learning about new and complex topics and are able to pick them up quickly. We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience. Essential Skills Experience in the UK or European power markets Development and deployment of algorithmic trading strategies Demonstrable experience drawing conclusions from data to make impactful decisions Expert in Python development for data manipulation, analysis, visualisation and more Ability to communicate complex topics and results effectively at all levels Strong applied probability and statistics knowledge Desirable Skills In addition to the core skills above, we are looking to hire candidates who have expertise in a subset of the following: Multiple European power markets (especially Germany, Italy, and/or Spain) Advanced numerical methods such as time-series analysis, machine learning, linear programming, or stochastic optimisation/modelling Developing, deploying, and maintaining mission-critical software Working in an operational environment Job Benefits Salary: £110,000 - £130,000 We're offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. You'll be awarded shares when you join, which will vest over four years - and as the business grows in size and value, so will your shares! We value our team's wellbeing and belonging so we invest approx £5,000 a year on a range of perks, benefits and wellbeing activities, including regular team socials and events. Other benefits include: Up to 10% company wide bonus based on company performance Hybrid working (blend of home and office working to suit individual needs) 1 month a year work from anywhere in the world policy Private medical cover with Bupa from day one with the option to add family members Nest Pension (8% combined contributions) on qualifying earnings Fun co-working office space in Shoreditch, London Dog friendly office (with some regular furry friends already in the team) Free team lunch once a week Enhanced parental leave, for all new parents: 6 months fully paid primary carer leave 3 months fully paid secondary carer leave 10 days fully paid leave for fertility treatment £2,000 annual learning & development budget to spend on whatever best supports your growth To reach Net Zero, we need to solve big challenges. Field will fund, build and run the renewable infrastructure we need to tackle these challenges. At Field, we will show that batteries are a totally viable part of our energy infrastructure - now , not in some distant future. And, we have ambitious plans to become the defining new clean energy player in Europe over the next few years, gradually expanding beyond batteries into new asset types.
Feb 09, 2025
Full time
Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Reporting To: Beth Rice Compensation: £110,000 - £130,000 / year Description At Field, we have spent the last few years developing our automated energy trading platform, Gaia. We deployed Gaia to trade in real-time for our first physical asset in GB in early November 2024. We are improving our algorithms all the time, and over the coming years we will be deploying Gaia on more GB assets as well as assets across Europe (Germany, Italy and Spain). You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more. This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position to participate in an on-call rotation as part of a small team. The market is 24 hours a day, 365 days a year, and you will be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we improve Gaia and deploy it for dozens of assets in the UK and across Europe. Key Responsibilities This is a broad and varied role with the opportunity to have massive impact. As part of the team, you will: Develop algorithms to trade, forecast and co-optimise revenues across multiple markets Be part of the team that manages live trading and physical assets, and provide 24/7 support Deploy and maintain real-time, mission-critical software Develop the ability to inform and/or override algorithmic decisions in volatile market conditions Present trading results to senior management Identify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategies Drive the development of the product roadmap Skills, Knowledge & Expertise A bit about you You're up for an operational role and are keen to get stuck into trading in the power markets. You are happy to be flexible with working hours and are able to be on-call . You're a clear, impactful communicator , able to articulate complex concepts to technical and non-technical audiences. You thrive in autonomous work environments with a positive and proactive approach. You're excited to learn - you enjoy learning about new and complex topics and are able to pick them up quickly. We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience. Essential Skills Experience in the UK or European power markets Development and deployment of algorithmic trading strategies Demonstrable experience drawing conclusions from data to make impactful decisions Expert in Python development for data manipulation, analysis, visualisation and more Ability to communicate complex topics and results effectively at all levels Strong applied probability and statistics knowledge Desirable Skills In addition to the core skills above, we are looking to hire candidates who have expertise in a subset of the following: Multiple European power markets (especially Germany, Italy, and/or Spain) Advanced numerical methods such as time-series analysis, machine learning, linear programming, or stochastic optimisation/modelling Developing, deploying, and maintaining mission-critical software Working in an operational environment Job Benefits Salary: £110,000 - £130,000 We're offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. You'll be awarded shares when you join, which will vest over four years - and as the business grows in size and value, so will your shares! We value our team's wellbeing and belonging so we invest approx £5,000 a year on a range of perks, benefits and wellbeing activities, including regular team socials and events. Other benefits include: Up to 10% company wide bonus based on company performance Hybrid working (blend of home and office working to suit individual needs) 1 month a year work from anywhere in the world policy Private medical cover with Bupa from day one with the option to add family members Nest Pension (8% combined contributions) on qualifying earnings Fun co-working office space in Shoreditch, London Dog friendly office (with some regular furry friends already in the team) Free team lunch once a week Enhanced parental leave, for all new parents: 6 months fully paid primary carer leave 3 months fully paid secondary carer leave 10 days fully paid leave for fertility treatment £2,000 annual learning & development budget to spend on whatever best supports your growth To reach Net Zero, we need to solve big challenges. Field will fund, build and run the renewable infrastructure we need to tackle these challenges. At Field, we will show that batteries are a totally viable part of our energy infrastructure - now , not in some distant future. And, we have ambitious plans to become the defining new clean energy player in Europe over the next few years, gradually expanding beyond batteries into new asset types.
Salary from £55,000 to £65,000 depending on experience Permanent Hybrid / London Here at Saga, we are embarking on a data transformation journey across all our established business units, Cruise, Insurance, Travel, Financial Services and Saga Magazine. We are keen to make one more hire to our growing team. You will be joining a high performing in-house Data Science. Working as one of our Senior Data Scientist at Saga, you will play a pivotal role in shaping our data strategy and driving the development of advanced analytics solutions. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most renowned Decision Data leaders in the UK market. We work in a hybrid way at Saga both at home and in the office. When you do come into the office, it'll be with a real purpose in mind - to meet with your team, to work together, and of course to socialise and celebrate too! Our Data Science team meet in London once a week and then in Kent once a quarter. Role Responsibility Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract actionable insights from large, complex datasets to guide business decision-making. Collaboration with Stakeholders: Working closely with business stakeholders and technical colleagues to understand data science requirements and integrate data science solutions into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts. Data Strategy and Model Governance: Collaborate with cross-functional teams to execute the company's data strategy. Ensure models are fair, explainable and in compliance with relevant regulations and policies. Project Management - Manage and deliver projects on time, to high standards. Agile ways of working - Demonstrate experience in working in an agile environment, participating in sprint planning, and adapting to changing priorities. Continuous learning - Stay abreast of industry trends, emerging technologies, and best practices in data science and machine learning. Bring the most relevant ones back to SAGA and find ways to implement them to unlock business value. The Ideal Candidate Working as a Senior Data Scientist at Saga, you will need to demonstrate the following skills and experience; Previously worked in a data science role for a large data rich organisation, with a track record of independent project delivery. Can demonstrate strong programming skills in languages such as Python or SQL. Be seen as an expert in machine learning, statistical modelling and data analysis. Demonstrate excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Experience with big data technologies and cloud platforms, ideally Azure. A curious nature, with the drive to learn and master new tech and methods. Previously worked in an agile working environment, with a focus on iterative and collaborative project delivery. Have worked with data visualisation tools e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's in a quantitative field such as Computer Science, Statistics or related disciplines. Saga Values: Make it Happen, Do the Right Thing, Customer First, Excellence Every Day, Our People Make Us Special Recruitment Process Pre-screen call with a member of the TA Team Technical Python and SQL Task TEAMS Interview - Technical and competency Final meeting with our Director of Data Analytics and Decision Science Package Description Everyday our colleagues deliver exceptional experiences to our customers. We believe exceptional work deserves even more exceptional rewards, that's why we have put together an amazing benefits package for all colleagues. BENEFITS AVAILABLE TO ALL COLLEAGUES: 25 days holiday + bank holidays Option to purchase additional leave up to 5 extra days Pension scheme matched up to 10% Company performance related annual bonus - Up to 5% Colleague discounts including family discounts on cruises and holidays Range of reductions and offers from leading retailers, travel groups and entertainment companies Enhanced maternity and paternity leave Grandparents leave Income protection Access to Saga Academy, our bespoke learning platform About the Company Over the past 70 years we have become the UK's specialist provider of products and services to people aged over 50 in the UK. These include cruises and holidays, insurance, personal finance and the Saga Magazine. We aim to be the largest and most-trusted brand for older people in the UK. Our focus on delivering exceptional experiences empowers our colleagues to create moments that are simple, personal and special for our customers and for each other. Our values underpin our approach and help guide us to deliver our purpose. At Saga we're committed to making sure that colleagues can be their best, be themselves and make a difference - more than anywhere else. We do this by creating a truly inclusive culture, where all colleagues can bring their full and authentic selves to work and, be treated with dignity and respect in an environment that is free from discrimination and harassment. We actively celebrate our differences and strive to create a culture of belonging that unites different backgrounds, beliefs, abilities and experiences, in an environment where everyone feels valued and able to work together. We know of the enormous benefits of having diverse teams working together and we aim to foster an inclusive culture to enable this. Saga does not accept agency CVs unless specifically engaged on the role by the Talent Acquisition Team. Please do not forward CVs to our recruiters, colleagues or any other company location. Saga will not be responsible for any fees related to CVs received in this unsolicited manner.
Feb 08, 2025
Full time
Salary from £55,000 to £65,000 depending on experience Permanent Hybrid / London Here at Saga, we are embarking on a data transformation journey across all our established business units, Cruise, Insurance, Travel, Financial Services and Saga Magazine. We are keen to make one more hire to our growing team. You will be joining a high performing in-house Data Science. Working as one of our Senior Data Scientist at Saga, you will play a pivotal role in shaping our data strategy and driving the development of advanced analytics solutions. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most renowned Decision Data leaders in the UK market. We work in a hybrid way at Saga both at home and in the office. When you do come into the office, it'll be with a real purpose in mind - to meet with your team, to work together, and of course to socialise and celebrate too! Our Data Science team meet in London once a week and then in Kent once a quarter. Role Responsibility Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract actionable insights from large, complex datasets to guide business decision-making. Collaboration with Stakeholders: Working closely with business stakeholders and technical colleagues to understand data science requirements and integrate data science solutions into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts. Data Strategy and Model Governance: Collaborate with cross-functional teams to execute the company's data strategy. Ensure models are fair, explainable and in compliance with relevant regulations and policies. Project Management - Manage and deliver projects on time, to high standards. Agile ways of working - Demonstrate experience in working in an agile environment, participating in sprint planning, and adapting to changing priorities. Continuous learning - Stay abreast of industry trends, emerging technologies, and best practices in data science and machine learning. Bring the most relevant ones back to SAGA and find ways to implement them to unlock business value. The Ideal Candidate Working as a Senior Data Scientist at Saga, you will need to demonstrate the following skills and experience; Previously worked in a data science role for a large data rich organisation, with a track record of independent project delivery. Can demonstrate strong programming skills in languages such as Python or SQL. Be seen as an expert in machine learning, statistical modelling and data analysis. Demonstrate excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Experience with big data technologies and cloud platforms, ideally Azure. A curious nature, with the drive to learn and master new tech and methods. Previously worked in an agile working environment, with a focus on iterative and collaborative project delivery. Have worked with data visualisation tools e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's in a quantitative field such as Computer Science, Statistics or related disciplines. Saga Values: Make it Happen, Do the Right Thing, Customer First, Excellence Every Day, Our People Make Us Special Recruitment Process Pre-screen call with a member of the TA Team Technical Python and SQL Task TEAMS Interview - Technical and competency Final meeting with our Director of Data Analytics and Decision Science Package Description Everyday our colleagues deliver exceptional experiences to our customers. We believe exceptional work deserves even more exceptional rewards, that's why we have put together an amazing benefits package for all colleagues. BENEFITS AVAILABLE TO ALL COLLEAGUES: 25 days holiday + bank holidays Option to purchase additional leave up to 5 extra days Pension scheme matched up to 10% Company performance related annual bonus - Up to 5% Colleague discounts including family discounts on cruises and holidays Range of reductions and offers from leading retailers, travel groups and entertainment companies Enhanced maternity and paternity leave Grandparents leave Income protection Access to Saga Academy, our bespoke learning platform About the Company Over the past 70 years we have become the UK's specialist provider of products and services to people aged over 50 in the UK. These include cruises and holidays, insurance, personal finance and the Saga Magazine. We aim to be the largest and most-trusted brand for older people in the UK. Our focus on delivering exceptional experiences empowers our colleagues to create moments that are simple, personal and special for our customers and for each other. Our values underpin our approach and help guide us to deliver our purpose. At Saga we're committed to making sure that colleagues can be their best, be themselves and make a difference - more than anywhere else. We do this by creating a truly inclusive culture, where all colleagues can bring their full and authentic selves to work and, be treated with dignity and respect in an environment that is free from discrimination and harassment. We actively celebrate our differences and strive to create a culture of belonging that unites different backgrounds, beliefs, abilities and experiences, in an environment where everyone feels valued and able to work together. We know of the enormous benefits of having diverse teams working together and we aim to foster an inclusive culture to enable this. Saga does not accept agency CVs unless specifically engaged on the role by the Talent Acquisition Team. Please do not forward CVs to our recruiters, colleagues or any other company location. Saga will not be responsible for any fees related to CVs received in this unsolicited manner.
ABOUT THIS POSITION We are seeking a highly motivated and experienced Senior Data Scientist to join our team and play a crucial role in optimizing the new player experience and overall performance of our games with an emphasis on Warframe Mobile. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to improve player engagement and retention. RESPONSIBILITIES New Player Experience Optimization: Analyze player behavior during the first-time user experience (FTUE) to identify areas of friction and opportunities for improvement. Develop and implement A/B testing strategies to optimize onboarding flows, tutorials, and early game mechanics. Build predictive models to identify players at risk of churn and develop targeted interventions to improve retention. Game Performance Analysis: Track key performance indicators (KPIs) such as player engagement, retention, monetization, and virality. Analyze player behavior data to understand game mechanics, identify imbalances, and optimize game design. Develop dashboards and reports to communicate insights to stakeholders and inform data-driven decision-making. Data Mining and Modeling: Apply statistical and machine learning techniques to analyze large datasets of player behavior, in-game events, and economic activity. Build predictive models to forecast player behavior, optimize game parameters, and personalize the player experience. Develop and maintain data pipelines to ensure data quality and accessibility. Collaboration and Communication: Work closely with game designers, product managers, and engineers to translate data insights into actionable game improvements. Communicate complex technical concepts to non-technical audiences through clear visualizations and presentations. Stay up-to-date with the latest advancements in data science and mobile gaming trends. REQUIREMENTS 5+ years of experience as a Data Scientist, with a focus on mobile gaming or a related industry. Strong programming skills in Python or R. Expertise in statistical modeling, machine learning, and data mining techniques. Experience with big data technologies. Proficiency in SQL and data visualization tools. Deep understanding of game mechanics, economies, and player behavior. Experience with A/B testing and experimental design. Familiarity with game analytics platforms and tools. PREFERRED EXTRAS Experience with Mobile game optimization Expertise with Database technologies such as (Athena, Mongo, Postgres). Familiarity with deep learning techniques. Contributions to open-source projects or publications in relevant fields
Feb 08, 2025
Full time
ABOUT THIS POSITION We are seeking a highly motivated and experienced Senior Data Scientist to join our team and play a crucial role in optimizing the new player experience and overall performance of our games with an emphasis on Warframe Mobile. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to improve player engagement and retention. RESPONSIBILITIES New Player Experience Optimization: Analyze player behavior during the first-time user experience (FTUE) to identify areas of friction and opportunities for improvement. Develop and implement A/B testing strategies to optimize onboarding flows, tutorials, and early game mechanics. Build predictive models to identify players at risk of churn and develop targeted interventions to improve retention. Game Performance Analysis: Track key performance indicators (KPIs) such as player engagement, retention, monetization, and virality. Analyze player behavior data to understand game mechanics, identify imbalances, and optimize game design. Develop dashboards and reports to communicate insights to stakeholders and inform data-driven decision-making. Data Mining and Modeling: Apply statistical and machine learning techniques to analyze large datasets of player behavior, in-game events, and economic activity. Build predictive models to forecast player behavior, optimize game parameters, and personalize the player experience. Develop and maintain data pipelines to ensure data quality and accessibility. Collaboration and Communication: Work closely with game designers, product managers, and engineers to translate data insights into actionable game improvements. Communicate complex technical concepts to non-technical audiences through clear visualizations and presentations. Stay up-to-date with the latest advancements in data science and mobile gaming trends. REQUIREMENTS 5+ years of experience as a Data Scientist, with a focus on mobile gaming or a related industry. Strong programming skills in Python or R. Expertise in statistical modeling, machine learning, and data mining techniques. Experience with big data technologies. Proficiency in SQL and data visualization tools. Deep understanding of game mechanics, economies, and player behavior. Experience with A/B testing and experimental design. Familiarity with game analytics platforms and tools. PREFERRED EXTRAS Experience with Mobile game optimization Expertise with Database technologies such as (Athena, Mongo, Postgres). Familiarity with deep learning techniques. Contributions to open-source projects or publications in relevant fields