526 to 550 of 1,032 Data Science Jobs

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

Compensation £40,000 - £70,000 Base + Benefits TL;DR Senior or engineer level full-stack software engineer role Fast growing data and AI startup specialising in the energy sector, based in the UK Hybrid/remote available must be UK based, Glasgow or Edinburgh preferred Must have Javascript … looking for someone that has a lot of front-end experience but is comfortable building in the back-end too. Work with our expert data and AI team to build Cairn and help our users deliver more value from their data.This will be a key role in the technical ...

configuration management with release processes 2+ years of experience developing and managing metrics Preferred Qualifications (Desired Skills/Experience): Level 4: Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science ...

configuration management with release processes 2+ years of experience developing and managing metrics Preferred Qualifications (Desired Skills/Experience): Level 4: Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

capabilities that exemplify those practices. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

capabilities that exemplify those practices. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges. GRAIL is headquartered in the bay area of California, with locations … inclusive listing of duties and responsibilities. Contents are subject to change at the company's discretion. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) 15+ years of experience in software engineering or related technical field Significant leadership experience managing multiple teams ...

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge, and worldwide presence across financial markets … experienced **AI & Model Evaluation Manager** to lead the evaluation, validation, and governance of advanced AI, machine learning, and statistical models across our Active Data Layer programme of development.This role blends technical depth, strategic leadership, and strong stakeholder management, ensuring that our models are accurate, reliable, safe, and aligned with ...

multiple DevSecOps tools/technologies (AWS, Azure, Terraform, GitLab CI and Components, build systems, SonarQube, etc.) Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer … science and 9 years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related relevant experience Knowledge or experience in the defense or avionics industry Knowledge of networking principles Knowledge of required levels of rigor for safety-critical ...

multiple DevSecOps tools/technologies (AWS, Azure, Terraform, GitLab CI and Components, build systems, SonarQube, etc.) Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer … science and 9 years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related relevant experience Knowledge or experience in the defense or avionics industry Knowledge of networking principles Knowledge of required levels of rigor for safety-critical ...

Senior Data Scientist Decisioning & Pricing Intelligence Manchester (Hybrid 2 days onsite) Up to £90,000 + bonus The Opportunity This is not a role where you sit in a notebook building models no one uses. Our client is a market-leading SaaS organisation operating at scale within the automotive … ecosystem , building the intelligence layer that drives real-world commercial decisions across Europe. They are investing heavily in data and AI to power a next-generation decisioning platform helping enterprise clients make high-value pricing, trading, and operational decisions across thousands of assets, in real time. This is about ...

robust production-grade Software Development skills. Your new company You'll be joining a highly respected software engineering business that applies advanced modelling, data science, and machine learning to solve complex, real-world problems at scale. Their technology underpins critical decision-making in high-value environments, combining deep … capability is embedded into a well-established product suite, balancing greenfield innovation with enhancing existing platforms. Working across structured, unstructured and streaming data, you'll contribute to modern AI approaches and help shape how data drives product capability. It's a well-established business with decades of experience ...

ready to take your career to the next level? This exciting opportunity as a Business Data Analyst offers the chance to make a real impact in a dynamic and fast-paced environment. With a focus on driving scalable lead acquisition, qualification, and conversion, this role is perfect for someone … innovative projects that shape the future of business strategies. As a part of this position, you will collaborate with cross-functional teams, dive into data analysis, and optimise processes to deliver tangible results. If you're passionate about data, insights, and making a difference, this could ...

Role In this role, you will define the architectural blueprint and technology foundations for AI driven solutions that transform how customers in dynamic, data intensive industries operate, scale, and innovate. You will design robust, future ready AI architectures that enable automation, advanced analytics, and intelligent decision making across complex … digital transformation programmes. With access to cutting edge AI frameworks, high performance computing environments, and modern data platforms, you will guide engineering and data science teams in building secure, scalable, and ethical AI systems. This role empowers you to shape end to end AI ecosystems-accelerating delivery ...

grow across the Defence sector. We are looking for a motivated, curious, and technically minded Full Stack Engineer to help us scale our data and analytics capabilities across the UK and international markets. In this role, you will contribute to the design, development and maintenance of the data … quality, sustainable development. As a Full Stack Engineer, you will: • Design, develop, automatically test and maintain full-stack web applications with a focus on data pipelines, analytics dashboards, and reporting tools. • Build scalable RESTful APIs and backend services using modern frameworks and languages (e.g. Python, Node.js, C++). • Develop ...

Data Analyst London (hybrid, 2 days per week) | Up to £55,000 This is a great opportunity to join a growing data and analytics consultancy where you will work on varied, client-facing projects that have real commercial impact. You will sit between data, insight, and decision … making, helping organisations better understand their customers through thoughtful, high-quality analysis. The Company They are a UK-based data and analytics consultancy that combines large-scale proprietary data with advanced analytics and insight delivery. Working as a solutions partner, they support clients across sectors such as utilities ...

identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Job Title: Data Innovation Business Analyst Location: Warwick 1-2 days on site Contract Type: 6 months - possibility for extension or get a perm Overview … Data Innovation Business Analyst within the Data Connect Innovation (DCI) Lab, you drive the exploration and delivery of cutting-edge data and AI solutions. You lead the end-to-end lifecycle of innovation initiatives - from idea inception and hypothesis development through to rapid prototyping, partner collaboration ...

facing materials, including documentation, blogs, and industry reports, to build credibility and trust. What you should bring 4+ years’ experience in a senior research, data science, or applied science role. Expertise in at least one of the following: Responsible AI evaluation in production with strong probabilistic reasoning. … Evaluation data engineering, including synthetic or curated dataset design under privacy and PII constraints. Nice to have: HR analytics or I‐O psychology experience (e.g. adverse impact, selection validity, defensible evaluation). Strong Python skills for statistical analysis and reproducible research workflows. Comfort operating in ambiguous, high‐judgement problem ...

leading UK bank who are looking for Analytics Product Managers to play a pivotal role in driving the bank’s transformation into a truly data-driven organisation. This is a high-impact role where you will shape, prioritise and deliver analytics and data products that support strategic decision … making, deepen customer understanding, and strengthen regulatory compliance and risk management. You’ll sit at the heart of the data, analytics, and business ecosystem, ensuring that analytics products are scalable, reusable, and deliver measurable value across the organisation. The Role: As an Analytics Product Manager, you will ...

individual to help setup their AI frameworks and subsequently implement AI into the business. Initially the role would be a mix of AI and Data management, which would then transition into a full AI role once the frameworks have been setup. Some of the initial tasks include Dataset onboarding … cataloguing data assets, and setting data quality rules. This is brilliant role in a cutting edge part of the business! The following skills/experience are required: Business Analyst/Product Owner background Proven experience in Data Financial product/traded product knowledge Any experience with Machine ...