business, management, economics, data science, technology, or a related field (desirable). Domain expertise in retail technology, data & analytics, information services, and/or artificialintelligence (desirable). What you can expect from us We won't just meet your expectations. We'll defy them. So you'll More ❯
of agile methodologies, CI/CD, application resiliency, and security Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificialintelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web More ❯
modern best practices for secure delivery, such as SLSA framework Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificialintelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web More ❯
modern best practices for secure delivery, such as SLSA framework Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificialintelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web More ❯
identifying value-driven use cases that deliver growth to client businesses. Set yourself apart: Background in Consulting and an understanding/experience working in ArtificialIntelligence, Agile & DevOps Experience with Cloud, Security, Big Data, or Blockchain Relevant certifications including TOGAF, SAFe, PRINCE2, BCS, AWS, or GCP certifications. Knowledge More ❯
identifying value-driven use cases that deliver growth to client businesses. Set yourself apart: Background in Consulting and an understanding/experience working in ArtificialIntelligence, Agile & DevOps Experience with Cloud, Security, Big Data, or Blockchain Relevant certifications including TOGAF, SAFe, PRINCE2, BCS, AWS, or GCP certifications. Knowledge More ❯
modern best practices for secure delivery, such as SLSA framework Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificialintelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web More ❯
why people love it here. Based on your experience and area of interest, you may work on projects in key areas such as: Generative ArtificialIntelligence Cloud & Modern Engineering Trading, Portfolio and Risk Management Platforms Business Restructuring and Operating Model Design Intelligent Operations design and process automation Regulatory More ❯
Company Description Open Code Mission focuses on helping Enterprises leverage AI's business value by embedding memory, reasoning, & adaptability into every interaction. The ETERNALLY platform provides a trusted cognitive layer that is transparent, auditable, and continuously learns, optimizes, and scales impact. Role Description This is a full-time hybrid role More ❯
established data consultancy, that is hiring for a Senior Manager (Data Science). The Company This firm is a strategic analytics consultancy that combines AI, data science, and commercial insight. They specialise in developing advanced analytics solutions for clients in industries such as finance, retail, private equity, public sector, etc. More ❯
established data consultancy, that is hiring for a Senior Manager (Data Science). The Company This firm is a strategic analytics consultancy that combines AI, data science, and commercial insight. They specialise in developing advanced analytics solutions for clients in industries such as finance, retail, private equity, public sector, etc. More ❯
maintaining data pipelines. Use your experience in AWS & Databricks for the development and next phase of the Data Platform. Work closely with Data Scientists, AI Engineers & Analytics Engineers to enable them to effectively use the Platform and build data products for their huge consumer base. YOUR SKILLS & EXPERIENCE: A successful More ❯
established data consultancy, that is hiring for a Senior Manager (Data Science). The Company This firm is a strategic analytics consultancy that combines AI, data science, and commercial insight. They specialise in developing advanced analytics solutions for clients in industries such as finance, retail, private equity, public sector, etc. More ❯
maintaining data pipelines. Use your experience in AWS & Databricks for the development and next phase of the Data Platform. Work closely with Data Scientists, AI Engineers & Analytics Engineers to enable them to effectively use the Platform and build data products for their huge consumer base. YOUR SKILLS & EXPERIENCE: A successful More ❯
data analytics driven products. Responsible for the delivery of data-driven insights of the investment processes. Explore the use of ESG data generated with AI powered solutions. Ideal Candidate: Relevant work experience extracting, structuring and analysing data to deliver data-driven insights. Working knowledge of VBA, SQL, Python, R and More ❯
ML environments (GCP preferred). Excellent stakeholder management skills—able to bridge technical and business teams. A proactive problem-solver with a passion for AI and innovation. Experience deploying large language models in a business setting. Background in personal lines insurance (health or life). Experience with Google Cloud ML More ❯
are continuing to expand their team with the hire of another Principal Data Scientist. Preferred skills and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. Advise on proper Model Deployment More ❯
are continuing to expand their team with the hire of another Principal Data Scientist. Preferred skills and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. Advise on proper Model Deployment More ❯
risk. Role Overview: Compliance Analytics Ltd. plans to extend our services into Quantexa AML TM Model Validation service, Synthetic data testing on Sanction and AI, Crypto-specific EDD (Enhanced Due Diligence) services, and AML TM Career Training. We are seeking a Business Analyst to support these client-focused regulatory compliance More ❯
team revolutionizing the blockchain space! They are a start up that focuses on ensuring the authenticity of digital content in an era dominated by AI-generated media, using blockchain technology to verify and protect images and videos! Location: London Hybrid: 2 days a week Salary: £80k - £100k What You’ll More ❯
team revolutionizing the blockchain space! They are a start up that focuses on ensuring the authenticity of digital content in an era dominated by AI-generated media, using blockchain technology to verify and protect images and videos! 📍 Location: London 🔄 Hybrid: 2 days a week 💰 Salary: £80k - £100k What You’ll More ❯
is revolutionising the industry by embedding intelligent lending solutions into the customer journey. Backed by tier-one investors and experiencing rapid growth, they combine AI-powered credit assessment with a modern, mission-driven approach to lending. THE ROLE As Head of Data Science, your day-to-day responsibilities include but More ❯
is revolutionising the industry by embedding intelligent lending solutions into the customer journey. Backed by tier-one investors and experiencing rapid growth, they combine AI-powered credit assessment with a modern, mission-driven approach to lending. THE ROLE As Head of Data Science, your day-to-day responsibilities include but More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Few&Far
problem-solving skills and a proven customer-centric, Product Engineering mindset. This role provides a view into the opportunities and challenges companies face implementing AI/ML solutions at scale Apply with an updated CV to learn more More ❯
East London, London, United Kingdom Hybrid / WFH Options
Few&Far
problem-solving skills and a proven customer-centric, Product Engineering mindset. This role provides a view into the opportunities and challenges companies face implementing AI/ML solutions at scale Apply with an updated CV to learn more More ❯
