accounts and are talented to deliver crisply a value proposition to catch senior executives' attention Proven creative problem-solving approach and strong analytical skills We value candidates who: Use AI tools to enhance efficiency and creativity, applying them to automate tasks, generate insights, or improve day-to-day decision-making. Stay curious and open to new technologies, regularly exploring AI … driven solutions to elevate team performance and customer impact. Demonstrate a growth mindset, experimenting with AI capabilities-from content generation to predictive analytics-to fuel continuous innovation in their role. Preferred Skills & Competencies AI Literacy: Demonstrates a solid understanding of core AI concepts, terminology, and practical applications. Effectively leverages AI tools to enhance productivity, insights, and decision-making, while adhering … to ethical standards and best practices. Prompt Engineering: Skilled at crafting clear, structured, and effective prompts to optimize the quality, relevance, and utility of AI-generated outputs. Agentic AI: Understands the role of autonomous agents in streamlining workflows and automating end-to-end tasks. Able to build, utilize, or manage agentic AI systems and integrate them into business processes. Skills More ❯
Social network you want to login/join with: We are hiring several Software Engineers at various levels to build AI capabilities through the delivery of AI technical research and proof-of-concept work. PatentSight+ enables core IP activities such as competitive intelligence, benchmarking, portfolio optimization, and more by bringing together highly curated and enriched datasets, cutting-edge analysis … with an existing application team, data scientists, and a broader range of stakeholders distributed across the UK, Germany, Netherlands, and the USA. Responsibilities Researching the applicability of cutting-edge AI technology in our features. Keeping up to date with evolving AI frameworks. Delivering reports, insights, and proof-of-concepts (POCs). Creating performance- and cost-optimized services. Helping to build … a modern Python codebase. Experience with AWS or similar cloud providers, including knowledge of Infrastructure as Code (IaC) solutions. Understanding of software engineering techniques and processes. Demonstrable experience with AI engineering. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with Python, Azure Pipelines, and AWS CDK is desirable but not essential. Work in a way that More ❯
action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized … customer interactions and sales lifecycle in a technical pre-sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. You will enjoy … customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to 30% travel to London offices and customer site About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and More ❯
AI Engineer - Hybrid (London) - Up to £70k per year Spinks are working with an exciting data intelligence company that are undertaking some key projects that will accelerate their growth. They're looking for an experienced Engineer to support and help lay the foundations for their Agentic AI Journey. What you'll do: Architect and deploy robust, multi-agent systems … Model Context Protocol MCP servers Own the full lifecycle of agent development, from initial design and prototyping to deployment, monitoring, and continuous improvement Experience required: Proven background in similar AI/ML Roles Strong proficiency in Python & SQL Demonstrable experience with RAG, Agentic AI, Googles ADK (Or similar LLM Application frameworks), API Design & Consumption Role details: AI Engineer Hybrid More ❯
About Us : IWSR is the global authority on beverage alcohol data and intelligence For over 50 years, IWSR has been trusted by the … leaders of global beverage alcohol businesses as an integral part of their strategic planning and decision-making processes. We uniquely combine our proprietary longitudinal market data, consumer insights and AI-enhanced data science, with valuable on-the-ground human intelligence in 160 markets worldwide, to decipher what is really happening in the global beverage alcohol market. With access to More ❯
Job ID: Evi Technologies Limited Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Note: This position is for part-time employment. Key job responsibilities - Creating … or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You More ❯
with purpose. Your Role Join our fast-growing & collaborative Data-Driven Financial Risk & Compliance (DFRC) team and shape the future of risk and finance! We harness cutting-edge technology, AI-powered models, and cloud-first data platforms to transform risk management from a reactive function into a strategic powerhouse-driving growth, resilience, and competitive edge. Be part of a dynamic … address business challenges. Beneficial to have experience in Financial Services data models like FSLDM, BIAN, Data Vault etc. Experience working across various stages of End-to-End Analytics/AI Transformation or Large-scale Deployments/Technology Implementation Programmes. Passionate about data with demonstrated ability in solving complex problems and leveraging the latest tools & technologies to create innovative data-focused … participating in the commercial cycle, including defining project scope and agreeing on budgets. WHAT YOU'LL LOVE ABOUT WORKING HERE? Our DFRC team is part of the wider Data & AI Factory team within our Enterprise Data Analytics (EDA) team which takes pride in transforming clients' businesses with Data & AI making a tangible difference for our clients, setting industry standards and More ❯
The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas … and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients engagement. Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical … operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python More ❯
sales teams to design compelling solution proposals and implementation plans. Participate in client engagements, define best practices and support clients in implementation of those if requested . Innovation and AI Enablement: Evaluate and support implementation of innovative technologies, including agentic AI, to enhance contract review, negotiation, risk flagging, and metadata extraction. Lead the functional design and implementation of intelligent contract … with contract analytics, obligations tracking, and integration with ERP and sourcing systems. Hands-on experience with contract and procurement platforms (e.g., SirionLabs , Icertis, Ariba, Coupa, or similar) Experience with AI/ML-based contract solutions and automation tools is highly desirable (e.g. GCP DocA I ) Strong analytical and problem-solving skills with the ability to translate complex requirements into actionable More ❯
Join to apply for the AI Solutions Architect role at Solace 1 week ago Be among the first 25 applicants Join to apply for the AI Solutions Architect role at Solace Solace helps companies connect and integrate all of their assets through the power of event-driven architecture. Our technology makes it easy to unlock data silos and capture events … occurring across large enterprises; stream information about those events everywhere it needs to be in real-time; and give the apps, AI agents and people who receive it the power to immediately react with decisive actions and smart decisions. Many of the worlds biggest companies trust Solace to modernize their IT infrastructure by embracing trends like AI, cloud and IoT … a plane, check your bank balance on your phone, your positive experience could be a direct result of our technologyand your hard work! Overview We are seeking an experienced AI Solutions Architect to join our presales team, specializing in Solace Agent Mesh technology. This role will drive business growth by demonstrating how our event-driven architecture combined with AI capabilities More ❯
Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … knowledge — ideally a PhD/postdoc in AI/ML Knows when not to use a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production … Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯
Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … knowledge — ideally a PhD/postdoc in AI/ML Knows when not to use a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production … Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯
Job Description Customer Data Architect - Associate Manager London, Manchester (or other UK location) Associate Manager (CL8) Practice: Song Data & AI We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel … design and implement scalable, secure, and high-performing customer data architectures. You will work with cross-functional teams to define data strategies, architect solutions, and enable data readiness for AI, analytics, and customer engagement platforms. This role sits within Accenture's Data & AI practice, delivering end-to-end solutions from data strategy to core engineering. Key Responsibilities Architect modern customer … Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. Certifications in cloud platforms (e.g., Azure Data Engineer, GCP Associate Cloud Engineer). Familiarity with AI/ML applications in customer engagement and personalisation. Why Join Accenture? Work with cutting-edge technologies and global clients. Be part of a diverse, inclusive, and innovation-driven culture. Access More ❯
build high-quality data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high … performance and scalability Build processes for extracting, cleaning and transforming data (SQL/Python) Optimize model parameters and architectures for maximum efficiency and accuracy Ensure seamless integration of AI solutions with existing systems and applications Stay updated with the latest advancements in AI and machine learning Present findings to clients through written documentation, calls and presentations Be an example of More ❯
build high-quality data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high … performance and scalability Build processes for extracting, cleaning and transforming data (SQL/Python) Optimize model parameters and architectures for maximum efficiency and accuracy Ensure seamless integration of AI solutions with existing systems and applications Stay updated with the latest advancements in AI and machine learning Present findings to clients through written documentation, calls and presentations Be an example of More ❯
ID: Amazon Development Center (Tel Aviv) About Our 0rganization: Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in Gen-AI models/LLMs, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. About The Team Our vision is to enhance the customer … shopping experience on Amazon by leveraging Gen-AI models and personalization techniques. We strive to save customers valuable time by tailoring their discovery and exploration journey to their individual passions and hobbies. Our goal involves identifying personalization opportunities to develop and optimize customer experiences, thereby improving the overall search and discovery process across Amazon. Job Description: Want to be at … the forefront of creating the next-gen of AI-powered shopping experiences, and shape the future of how millions of Amazon customers worldwide discover and engage with our vast product selection? We would love to talk to you! We are seeking a Sr. Manager, Product Management - Technology, to lead our product strategy, development, and execution to reinvent shopping discovery. In More ❯
Founding AI Engineer - Agentic Systems | £120-150k Equity | London Transform Financial Services with Cutting-Edge AI Avanti Recruitment is partnering with an ambitious Series A fintech startup that's revolutionizing how financial institutions operate. Our client has secured £6M+ from a top-tier VC and is building the future of AI-powered business process automation. The Opportunity Join as … a founding team member and help build world-class AI agents that transform manual, weeks-long financial processes into intelligent, automated workflows. You'll be developing sophisticated multi-agent systems from entry-level automation to expert-level autonomous decision-making. You'll be architecting the cognitive intelligence behind agent systems that operate in highly regulated environments, processing complex financial … systems where agents share knowledge and improve collectively Fine-tuned models optimized for complex financial workflows Event-driven distributed systems handling sensitive data at enterprise scale The Tech Stack AI/ML : Multi-agent frameworks, fine-tuning, reinforcement learning, advanced RAG Platform : AWS serverless, event-driven architecture, microservices Languages : Python, with modern ML libraries (PyTorch, TensorFlow) What They're Looking More ❯
Responsibilities: Design, develop, and maintain software solutions utilizing AWS AI services such as Amazon Lex and Large Language Models (LLMs). Collaborate with cross-functional teams to integrate AI capabilities into contact centre solutions. Write clean, efficient, and maintainable code in TypeScript. Implement and advocate for DevOps best practices, including CI/CD pipelines, automated testing, and infrastructure as code. … to ensure our solutions remain competitive yet sustainable. Requirements: Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact centre technologies and … integrations. Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills, both written and verbal. Preferred Qualifications: Experience with other AWS AI services and tools. Familiarity with serverless architectures and microservices. Knowledge of security best practices in cloud environments. Experience with agile development methodologies. Please click here to find out more about our Key Information More ❯
Responsibilities: Design, develop, and maintain software solutions utilizing AWS AI services such as Amazon Lex and Large Language Models (LLMs). Collaborate with cross-functional teams to integrate AI capabilities into contact centre solutions. Write clean, efficient, and maintainable code in TypeScript. Implement and advocate for DevOps best practices, including CI/CD pipelines, automated testing, and infrastructure as code. … to ensure our solutions remain competitive yet sustainable. Requirements: Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact centre technologies and … integrations. Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills, both written and verbal. Preferred Qualifications: Experience with other AWS AI services and tools. Familiarity with serverless architectures and microservices. Knowledge of security best practices in cloud environments. Experience with agile development methodologies. Please click here to find out more about our Key Information More ❯
Architect is responsible for designing, implementing, and maintaining an organization's data architecture and strategy, ensuring that data is collected, stored, and processed efficiently and securely to support business intelligence, data analytics, and machine learning operations (MLOps) practices. Key Responsibilities Designing Data Architecture: Plan and implement a robust, scalable data architecture that integrates data from various sources and supports … costs and meeting business requirements. Implementing Data Engineering Pipelines: Design and develop data pipelines for data extraction, transformation, and loading (ETL) processes, ensuring data quality and consistency. Enabling Data Intelligence and Analytics: Build and maintain data warehouses, data marts, and data lakes to support business intelligence and data analytics initiatives. Supporting MLOps Practices: Collaborate with data scientists and More ❯
At Recombine, we believe in the transformative power of AI torevolutionize how businesses operate. We're dedicated to creatingindustry-leading solutions that leverage AI and machine learningto help our clients optimize their workflows, automate processes,and scale efficiently. To make this happen, we're looking for people who are curious,driven, and collaborative-those who thrive in a fast-pacedenvironment … and want to be part of a high-growth AI company. Wecare about our people, our clients, and our mission to make AIaccessible and impactful for businesses of all sizes. Your Mission As a Software Engineer II at Recombine, you will develop andmanage services that are integral to our AI-powered platforms. Youwill work across a wide range of technologies … to build scalableand reliable systems that drive the future of AI-based automation.You'll collaborate with cross-functional teams to design, build,and optimize services, ensuring they perform at their best for ourclients. At Recombine, we focus on building scalable solutions thatintegrate AI seamlessly into business operations, helping ourclients maximize growth through automation. What You'll Do at Recombine End More ❯
KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and … data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions … learning techniques (e.g., reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and More ❯
KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and … data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience with computational simulation/modelling highly desirable Practical knowledge and experience of developing … AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries More ❯
position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great opportunity for someone … up in their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design, code reviews, and … architecture decisions. Promote ethical, responsible AI and ensure regulatory compliance (e.g. GDPR). Collaborate with stakeholders to integrate data science across the business. Communicate insights through clear storytelling and visualisation. What We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in More ❯
position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great opportunity for someone … up in their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design, code reviews, and … architecture decisions. Promote ethical, responsible AI and ensure regulatory compliance (e.g. GDPR). Collaborate with stakeholders to integrate data science across the business. Communicate insights through clear storytelling and visualisation. What We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in More ❯
