Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
JR United Kingdom
architecture through implementation. Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders. Preferred Qualifications: Experience designing data platforms that support analytics , machinelearning , and real-time operational workloads . Familiarity with data governance , privacy , and compliance frameworks (e.g., GDPR, HIPAA). Background in customer-centric or product-driven industries such More ❯
Deep knowledge of data strategy frameworks, data governance, and regulatory requirements related to data privacy and security in the insurance industry. Familiarity with advanced data analytics techniques, statistical modelling, machinelearning algorithms, and data visualization tools. Strong leadership and team management skills, with the ability to inspire and guide a team of data strategy professionals. Excellent analytical and … crucial part of the Munich Re culture, and we are committed to our Diversity & Inclusion Policy. We also seek to provide a fair and supportive work environment which provides learning and development opportunities for all. Working together, we are an employer of choice by building the workforce for today and the future. We make it happen. Together. More ❯
to detail. Ability to translate complex data into clear and actionable insights. Knowledge of data governance and data quality principles. Strong communication and presentation skills. Preferred Qualifications: Experience with machinelearning and predictive analytics. Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud. Familiarity with data warehousing and ETL processes. Experience in a business More ❯
can hear the views of businesses and communities first-hand. Key Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including MachineLearning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of … Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from large, structured and unstructured data. A proactive approach to learning new technologies and advancements in data science Experience in coaching others to use data tools Good awareness of software engineering and coding best practices An appreciation of the Bank … s approach to monetary and/or financial policy, with an interest in learning more about how Agency intelligence and data informs this. An understanding of Technology cloud platforms Our Approach to Inclusion The Bank values diversity, equity and inclusion. We play a key role in maintaining monetary and financial stability, and to do that effectively, we believe we More ❯
can hear the views of businesses and communities first-hand. Key Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including MachineLearning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of … Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from large, structured and unstructured data. A proactive approach to learning new technologies and advancements in data science Experience in coaching others to use data tools Good awareness of software engineering and coding best practices An appreciation of the Bank … s approach to monetary and/or financial policy, with an interest in learning more about how Agency intelligence and data informs this. An understanding of Technology cloud platforms Our Approach to Inclusion The Bank values diversity, equity and inclusion. We play a key role in maintaining monetary and financial stability, and to do that effectively, we believe we More ❯
can hear the views of businesses and communities first-hand. Key Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including MachineLearning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of … Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from large, structured and unstructured data. A proactive approach to learning new technologies and advancements in data science Experience in coaching others to use data tools Good awareness of software engineering and coding best practices An appreciation of the Bank … s approach to monetary and/or financial policy, with an interest in learning more about how Agency intelligence and data informs this. An understanding of Technology cloud platforms Our Approach to Inclusion The Bank values diversity, equity and inclusion. We play a key role in maintaining monetary and financial stability, and to do that effectively, we believe we More ❯
can hear the views of businesses and communities first-hand. Key Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including MachineLearning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of … Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from large, structured and unstructured data. A proactive approach to learning new technologies and advancements in data science Experience in coaching others to use data tools Good awareness of software engineering and coding best practices An appreciation of the Bank … s approach to monetary and/or financial policy, with an interest in learning more about how Agency intelligence and data informs this. An understanding of Technology cloud platforms Our Approach to Inclusion The Bank values diversity, equity and inclusion. We play a key role in maintaining monetary and financial stability, and to do that effectively, we believe we More ❯
can hear the views of businesses and communities first-hand. Key Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including MachineLearning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of … Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from large, structured and unstructured data. A proactive approach to learning new technologies and advancements in data science Experience in coaching others to use data tools Good awareness of software engineering and coding best practices An appreciation of the Bank … s approach to monetary and/or financial policy, with an interest in learning more about how Agency intelligence and data informs this. An understanding of Technology cloud platforms Our Approach to Inclusion The Bank values diversity, equity and inclusion. We play a key role in maintaining monetary and financial stability, and to do that effectively, we believe we More ❯
Glasgow, Scotland, United Kingdom Hybrid / WFH Options
Capgemini
covering orchestration, access control, consumption via market leading cloud solutions to ensure seamless integration with larger hyperscalers such as AWS, Azure and GCP to support key downstream uses including machinelearning, AI/GenAI solutions. In this role you will play a key role in: Cloud Solution Architecture: Design and implement scalable, secure, and resilient data solutions on … Development – Leading on proposals, RFPs, bids, client pitch contribution, client hosting at events. Internal contribution – Proposition development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities) etc. Learning & Development – Training to support your career development and the skills demand within the company, including leadership and technology certifications etc. Your Profile We are looking for candidates who bring … embrace the value that diverse teams bring to our EDA practice and our clients. We focus on clients: positively impacting our clients data culture and operations are committed to learning and development: obsessed with advancing our data, insights and analytics skills We're stronger when we collaborate: active collaboration and other Invent capabilities and with wider Capgemini, most notably More ❯
London, England, United Kingdom Hybrid / WFH Options
Capgemini
covering orchestration, access control, consumption via market leading cloud solutions to ensure seamless integration with larger hyperscalers such as AWS, Azure and GCP to support key downstream uses including machinelearning, AI/GenAI solutions. In this role you will play a key role in: Cloud Solution Architecture: Design and implement scalable, secure, and resilient data solutions on … Development – Leading on proposals, RFPs, bids, client pitch contribution, client hosting at events. Internal contribution – Proposition development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities) etc. Learning & Development – Training to support your career development and the skills demand within the company, including leadership and technology certifications etc. Your Profile We are looking for candidates who bring … embrace the value that diverse teams bring to our EDA practice and our clients. We focus on clients: positively impacting our clients data culture and operations are committed to learning and development: obsessed with advancing our data, insights and analytics skills We're stronger when we collaborate: active collaboration and other Invent capabilities and with wider Capgemini, most notably More ❯
Manchester, England, United Kingdom Hybrid / WFH Options
Capgemini
covering orchestration, access control, consumption via market leading cloud solutions to ensure seamless integration with larger hyperscalers such as AWS, Azure and GCP to support key downstream uses including machinelearning, AI/GenAI solutions. In this role you will play a key role in: Cloud Solution Architecture: Design and implement scalable, secure, and resilient data solutions on … Development – Leading on proposals, RFPs, bids, client pitch contribution, client hosting at events. Internal contribution – Proposition development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities) etc. Learning & Development – Training to support your career development and the skills demand within the company, including leadership and technology certifications etc. Your Profile We are looking for candidates who bring … embrace the value that diverse teams bring to our EDA practice and our clients. We focus on clients: positively impacting our clients data culture and operations are committed to learning and development: obsessed with advancing our data, insights and analytics skills We're stronger when we collaborate: active collaboration and other Invent capabilities and with wider Capgemini, most notably More ❯
connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machinelearning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer … we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where More ❯
connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machinelearning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer … we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where More ❯
Glasgow, Scotland, United Kingdom Hybrid / WFH Options
Waracle
and stay at the forefront of front-end industry trends, guiding teams on technology adoption. Actively mentor and coach mid-level and junior developers, fostering a culture of continuous learning and skill development. Drive innovation by introducing new methodologies and tools, leading change management initiatives. Foster a highly collaborative team environment, ensuring smooth communication and integration among team members. … you don't tick all of these, we are an organisation that encourages continuous personal development, and are keen to talk with good candidates. Bonus Skills Experience in AI, MachineLearning, or integrating AI models into front-end applications. Familiarity with Python or other languages used in AI development. Experience with cloud platforms (AWS, Azure, GCP). Knowledge More ❯
Site Reliability Engineering. Contribute to, and take a leadership role in, driving ongoing improvements to our engineering principles, practices, and tooling. Provide support & mentorship to junior engineers, prioritising continuous learning and development. Develop and maintain a contemporary understanding of AdTech developments, industry standards, partner and competitor platform developments, and commercial models, from an engineering perspective. Combined these insights with … concurrent, distributed systems, solving difficult and novel problems, and leading engineering and operational teams working in this space. Proven experience in developing data structures and algorithms. Experience working with ML/AI highly desirable. Proven experience contributing to product strategy development with Product Management teams. Experience in SaaS product engineering and operations highly desirable. Proven experience in modern software development … the principles, practices, and tooling supporting agile, testing/QA, DevSecOps, automation, SRE. Experience in Trunk Based Development, XP, & implementing CI/CD highly desirable. A focus on continuous learning and improving, both technically and professionally, in your industry, for you and your teams. Demonstrated resilience, with experience working in ambiguous situations. Strong English, excellent influencing and communication skills More ❯
of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London’s PyData and MachineLearning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. … guitars, ping-pong and table-football, and a piano. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest, best and most highly More ❯
routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machinelearning tasks. Implement data de-identification/data masking in line with company standards. Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring More ❯
routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machinelearning tasks. Implement data de-identification/data masking in line with company standards. Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring More ❯
routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machinelearning tasks. Implement data de-identification/data masking in line with company standards. Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring More ❯
tools and techniques such as SQL, various database types, data formats, and data modelling Demonstrable experience of pipeline logging, usage tracking, and cost monitoring Previous experience deploying analytical/machinelearning tools for users Experience leading a team or multiple projects and supporting team members in workload prioritisation and development What you need to do now If you More ❯
in the UK). You will be working in an innovative and collaborative environment with international peers, colleagues and a supportive manager. As the Senior MachineLearning (ML) Engineer you will be responsible for developing AI Labs' machinelearning platform and creating production ready AI-based solutions and models for high impact areas in Parexel's … and release code and internal libraries according to the technology and product roadmaps. You will work collaboratively with application engineering, product, and business stakeholders to develop principled and innovative ML solutions and models from research to POC to production. Within the role you will also serve as experts within Parexel, driving AI education and providing expert guidance across the company. … Key Accountabilities: ML and Natural Language Processing (NLP) Technology Leverage proprietary technology stack to build custom machinelearning models. Design , implement, and document new ML/NLP modeling techniques and strategies. Develop Back-end/server-side software to support AI solution development and serving. Build internal frameworks, libraries, and infrastructure to improve machinelearning and More ❯
related field. Experience in data architecture, engineering, or similar roles. Familiarity with big data technologies, analytics platforms, data fabric, data mesh, and data management technologies. Knowledge of statistical analysis, machinelearning, and data visualization. Understanding of microservice architecture, Kubernetes, CI/CD, DevSecOps, and cloud platforms (Azure, AWS, Google Cloud). Experience with electric utilities and industry-specific More ❯
London, England, United Kingdom Hybrid / WFH Options
WRITER
instrumental in implementing robust and high-performance backend services. ????️ Your Responsibilities Design, develop, and maintain backend systems and APIs using Scala and related technologies Collaborate with data scientists and machinelearning engineers to integrate AI models into the backend infrastructure Optimize and scale backend services to handle large volumes of data and ensure high performance Implement data storage More ❯
their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services, training and scoring machinelearning models. Collaborate closely with partners, strategy consultants, and data scientists in a flat and agile organization where personal initiative is highly valued. Share data engineering knowledge by More ❯
data engineering, identification of risks and proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including - but not limited to - analytics, machinelearning, data mining, compliance, business intelligence, sharing with applications and organisations Harvesting and ingesting structured and unstructured data in different formats and standards Integrating, consolidating and cleansing data More ❯