to lead technical teams and facilitating discussions regarding technical/architectural trade-offs, best practices and risk mitigation. This is a hands-on leadership role. - Bachelor's degree in ComputerScience, Engineering, Mathematics or related field with 3+ years experience. PREFERRED QUALIFICATIONS - Full-stack development experience e.g. React/Angular and integration with backend - AWS experience or working More ❯
respond to and debug livesite issues, and prevent the issues from reoccurring. Working with the latest cloud based and open source technologies What You Bring Bachelor's Degree in ComputerScience, Engineering, or related field 8+ years of professional software development experience Experience designing and delivering highly-available, scalable cloud-based systems Backend service experience in multiple, managed More ❯
Micro Front Ends is a massive bonus Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice design patterns Bachelor's or Master's degree in ComputerScience or related field (or equivalent experience) Experience in applying AI/ML to solve customer problems would be a bonus Experience with Python3, Django, PostgreSQL, Redis, Rest More ❯
data management. Excellent strategic thinking, problem-solving, and communication skills. Strong leadership and team management capabilities, with the aptitude to mentor future executives. Educational Background: Bachelor's degree in ComputerScience, Business Administration, Engineering or a related field. MBA highly preferred. Relevant certifications (e.g., PMP, Agile, ITIL) are highly desirable. Work Environment Hybrid office role; 3 days a More ❯
programming/scripting language(s). (e.g. Python, Golang, JavaScript, Java, C#, etc.). - AWS Certifications (e.g. AWS Solutions Architect Professional, AWS DevOps Professional, etc.) - Master's degree in ComputerScience or equivalent professional or military experience. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make More ❯
partnerships and services. Stay informed on digital trends and assess the potential impact of new technologies on IDAM services. Skills and Experience Bachelor's or Master's degree in ComputerScience, Information Technology, or related field. 8+ years of IDAM experience, either operational and/or consulting. Hands-on expertise in IDAM concepts including federation, authentication, authorization, access More ❯
Acord (association For Cooperative Operations Research And Development)
in parallel. Strong problem solving/analytical skills. Education & Preferred Qualifications Four (4) year degree in a business or technical field such as Finance, Mathematical Finance, Economics, Engineering, or Computer Science. An advanced degree or industry certification such as the CFA is a strong plus. 5+ years of experience. Additional Requirements The ability to travel to client sites throughout More ❯
Head of Data Science - Credit Risk/Lending Up to £130,000 + Bonus London (2/3 days onsite) Company: A long term client of ours, operating within the Credit/Lending space is looking to bring in a new Head of Data Science. Focused on Credit Cards and Loans, the company uses a digital-first platform and … smart analytics to assess affordability fairly and lend responsibly. Backed by a trusted brand, it’s making credit clear, accessible, and ethical. Responsibilities: Lead a Data Science team to build and embed top credit models supporting growth and customer outcomes. Develop and deploy segmented credit models for unsecured consumer lending. Improve data and analytics by identifying opportunities and encouraging … to optimise portfolio value through data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in ComputerScience, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding skills More ❯
Head of Data Science - Credit Risk/Lending Up to £130,000 + Bonus London (2/3 days onsite) Company: A long term client of ours, operating within the Credit/Lending space is looking to bring in a new Head of Data Science. Focused on Credit Cards and Loans, the company uses a digital-first platform and … smart analytics to assess affordability fairly and lend responsibly. Backed by a trusted brand, it’s making credit clear, accessible, and ethical. Responsibilities: Lead a Data Science team to build and embed top credit models supporting growth and customer outcomes. Develop and deploy segmented credit models for unsecured consumer lending. Improve data and analytics by identifying opportunities and encouraging … to optimise portfolio value through data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in ComputerScience, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding skills More ❯
Lead Data Science Consultant Global Management Consultancy 💸 £90k - £120k & Bonus 🏠 Hybrid – 3 days in London office & travel We are partnered with a disruptive, highly agile, management consultancy firm, specializing in transformational advisory services to hire a number of Data Science and AI experts. With a global presence and a reputation for excellence, they partner with clients to solve … at pace. Ambition and passion for your craft are valued very highly here. Career development is clear, rapid and achievable, and international travel is available. As a Lead Data Science Consultant, you will employ a wide range of data science techniques to support client's strategic business aims, across a range of industries including Retail, Travel, Financial Services … Telecommunications and Technology. Typical projects include data science for performance improvement, customer engagement and pricing effectiveness, network optimisation, and machine learning to drive improved operations, including supply chain and procurement. I’m seeking Lead Data Science experts who not only bring experience from classic management consultancy, but also brand side, in order to provide an empathetic approach to More ❯
Lead Data Science Consultant Global Management Consultancy 💸 £90k - £120k & Bonus 🏠 Hybrid – 3 days in London office & travel We are partnered with a disruptive, highly agile, management consultancy firm, specializing in transformational advisory services to hire a number of Data Science and AI experts. With a global presence and a reputation for excellence, they partner with clients to solve … at pace. Ambition and passion for your craft are valued very highly here. Career development is clear, rapid and achievable, and international travel is available. As a Lead Data Science Consultant, you will employ a wide range of data science techniques to support client's strategic business aims, across a range of industries including Retail, Travel, Financial Services … Telecommunications and Technology. Typical projects include data science for performance improvement, customer engagement and pricing effectiveness, network optimisation, and machine learning to drive improved operations, including supply chain and procurement. I’m seeking Lead Data Science experts who not only bring experience from classic management consultancy, but also brand side, in order to provide an empathetic approach to More ❯
Lead Data Science Consultant Global Management Consultancy £90k - £120k & Bonus Hybrid – 3 days in London office & travel We are partnered with a disruptive, highly agile, management consultancy firm, specializing in transformational advisory services to hire a number of Data Science and AI experts. With a global presence and a reputation for excellence, they partner with clients to solve … at pace. Ambition and passion for your craft are valued very highly here. Career development is clear, rapid and achievable, and international travel is available. As a Lead Data Science Consultant, you will employ a wide range of data science techniques to support client's strategic business aims, across a range of industries including Retail, Travel, Financial Services … Telecommunications and Technology. Typical projects include data science for performance improvement, customer engagement and pricing effectiveness, network optimisation, and machine learning to drive improved operations, including supply chain and procurement. I’m seeking Lead Data Science experts who not only bring experience from classic management consultancy, but also brand side, in order to provide an empathetic approach to More ❯
think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: You will report to our Head of Data Science and work closely with our Product managers, Software engineers and Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Work closely with senior … actionable insights. - Continuously learn new techniques and stay up to date with the latest ML trends, applying them to improve the product as you go. Requirements: - A degree in ComputerScience, Data Science, or a related field (or equivalent practical experience). - 2-3 years of experience in machine learning, with a strong understanding of core ML More ❯
and a clear learning path, with opportunities to participate in hackathons, code challenges, and lab camps. Working with leading brands provides valuable project experience. Responsibilities: Collaborate with the Data Science team to automate and govern machine learning pipelines. Manage infrastructure and orchestration pipelines for training and deploying models. Implement solutions to monitor model performance in production. Work with cross … Engage with domain experts to understand and address complex problems. Analyze and communicate client data insights to stakeholders. About the candidate: Minimum 2.1 Bachelor's degree in ICT/ComputerScience; a Master's in Data Science or AI is a plus. Strong communication skills to articulate complex concepts effectively. Solid understanding of computerscience fundamentals (databases, software engineering, cloud computing especially AWS) and data science (machine learning processes). Proficiency in Python and frameworks such as PyTorch, TensorFlow, scikit-learn, with some knowledge of LangChain, RAGAS, and CI/CD. Growth mindset and eagerness to learn new challenges. Willingness to travel and adapt to different client projects. Additional information: Reply is an More ❯
software development life cycle. We are looking for an experienced Full Stack Engineer with NodeJS, JavaScript, TypeScript and NodeJS and including cloud technologies. You will have a degree in computerscience from a reputable University and have a good understanding of JavaScript TypeScript and React Framework. Key requirements within this opportunity are as follows: Experience with NodeJS Solid … experience with JavaScript and TypeScript Experience with Azure Cloud Experience with Kubernetes and Docker. Any experience with Digital Investments. A 2:1 or above in ComputerScience - Required A leader within their community and a specialist Development team already in place, due to recent success they are looking to further build out their Software Engineering team in their More ❯
software development life cycle. We are looking for an experienced Full Stack Engineer with NodeJS, JavaScript, TypeScript and NodeJS and including cloud technologies. You will have a degree in computerscience from a reputable University and have a good understanding of JavaScript TypeScript and React Framework. Key requirements within this opportunity are as follows: Experience with NodeJS Solid … experience with JavaScript and TypeScript Experience with Azure Cloud Experience with Kubernetes and Docker. Any experience with Digital Investments. A 2:1 or above in ComputerScience - Required A leader within their community and a specialist Development team already in place, due to recent success they are looking to further build out their Software Engineering team in their More ❯
for their cloud services. Are you an inventive, curious, and driven Applied Scientist with a strong background in AI and Deep Learning? Join Amazon's AWS Multimodal generative AI science team and be a catalyst for groundbreaking advancements in Computer Vision, Generative AI, and foundational models. As part of the AWS Multimodal generative AI science team, you … keeping Amazon at the forefront of innovation. Mentor and guide other scientists and engineers, fostering a culture of scientific curiosity and excellence. BASIC QUALIFICATIONS Ph.D. or Master's in ComputerScience, Electrical Engineering, Statistics, Mathematics, or a related field. Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models. More ❯
platform and SDLC teams to manage our CI and production environments. An ideal candidate has commercial experience with C++. Requirements: 7+ years of experience with C++ A Degree in ComputerScience, Engineering, Mathematics, or a related field, or equivalent work experience Understanding of computerscience fundamentals such as data structures and algorithms Excellent communication skills, comfortable More ❯
VMware Solution (AVS). Represent Microsoft in customer forums and technical communities through thought leadership. Qualifications Proven technical pre-sales or technical consulting experience OR Bachelor's Degree in ComputerScience, Information Technology, or related field AND a few years of technical pre-sales or technical consulting experience OR Master's Degree in ComputerScience, Information More ❯
About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role/Responsibilities: Design … reliability and accuracy Work closely with cross-functional teams - including researchers, traders, and technology - to align system capabilities with business needs Requirements: Bachelor's or Master's degree in ComputerScience, Engineering, Mathematics, or a related field 2+ years of experience in quantitative development, preferably within a trading or financial services environment Proficiency in one or more programming More ❯
such as Git. Experience with containerization technologies such as Docker and Kubernetes. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor’s degree in computerscience, Engineering, or a related field, or equivalent work experience. Knowledge of front-end technologies like HTML, CSS, and JavaScript is a plus. More ❯
such as Git. Experience with containerization technologies such as Docker and Kubernetes. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor’s degree in computerscience, Engineering, or a related field, or equivalent work experience. Knowledge of front-end technologies like HTML, CSS, and JavaScript is a plus. More ❯
continuously enhance the organization's analytical capabilities • Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership BASIC QUALIFICATIONS - Bachelor's degree in ComputerScience, Data Science, Statistics, Management Information Systems (MIS), or a related field - 3+ years of experience as a Business Intelligence Engineer or similar senior-level role - Demonstrated … technical stakeholders - Excellent problem-solving, critical thinking, and analytical skills - Experience leading cross-functional teams and driving the successful delivery of BI initiative PREFERRED QUALIFICATIONS - Bachelor's degree in ComputerScience, Data Science, Statistics, Management Information Systems (MIS), or a related field - 3+ years of experience as a Business Intelligence Engineer or similar senior-level role - Demonstrated More ❯
CTO, product designers, and engineering team to integrate ML models into the core product. Conducting research and staying up-to-date with the latest advancements in machine learning and computer vision relevant to our future roadmap and feature ideas. Mentoring junior ML engineers and data scientists, fostering a collaborative and innovative team culture. Working with the product team to … iterating on features to improve the user experience. Requirements: 5+ years of hands-on experience in machine learning, with a focus on deep learning, image generation, and/or computer vision. Good understanding of latent diffusion models, LLMs. Strong programming skills in Python and experience with ML libraries like TensorFlow or PyTorch. Proven experience deploying ML models in production … Azure) and containerization (Docker, Kubernetes). Excellent problem-solving skills and a self-starter attitude. It would be a bonus for you to have: Master's or Ph.D. in ComputerScience, Machine Learning, GenAI, or a related field. (Extra bonus!) Experience or familiarity with CAD or 3D modelling software (e.g., Blender, 3DS Max). Core Skills: Machine Learning More ❯
and production environment. An ideal match would be an engineer with commercial C++ experience. You'll need to have: 7+ years of experience working with C++ A Degree in ComputerScience, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of ComputerScience fundamentals such as data structures and algorithms Excellent communication skills More ❯
