An advisory and technology company with an AI engineer for forecasting investment opportunities Asset Management: Investment management company investing in sustainable equities They focus on R&D of AI, ML, Data, Finance and sustainability. You will be based in the client's London office. There is also the option for Home Office but you will be required to travel to More ❯
with pioneering technology and data science applications. BASIC QUALIFICATIONS 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of More ❯
preferred). Strong technical background in data engineering, analytics, or data science. Experience with modern data stacks (e.g., SQL, dbt, Airflow, Snowflake, Looker/Power BI) and AI/ML tooling (e.g., Python, MLflow, MLOps). A track record of building and managing high-performing data teams. Strategic thinking and ability to influence senior stakeholders, comfortable in dual-regulated environments. More ❯
GitLab Contribute to containerisationand deployments on OpenShift What You'll Bring: 3+ years backend development experience with Node.js/Next.js Proven experience with AWS services (particularly Bedrock & AI/ML integrations) Strong understanding of REST APIs, microservices, and secure coding Experience with CI/CD pipelines (GitLab preferred) Solid background in SQL and NoSQL databases Ability to work independently and More ❯
or similar frameworks is highly valuable. Contribute to an environment that values rapid experimentation, clean architecture, and continuous learning. Ideal Candidate Profile Proven experience building and deploying AI/ML-driven applications, preferably in regulated or data-sensitive industries. Strong fluency in Python and TypeScript , and a deep understanding of APIs, data schemas, and backend workflows. Demonstrated ability to work More ❯
pipelines, and cloud infra (AWS/GCP/Azure). Exposure to enterprise authentication (SAML, SCIM), SOC2/GDPR compliance, or financial-grade security. Prior work in AI/ML product surfaces, data visualization, or developer-tool UX. Open-source contributions, tech talks, or blogging that showcase thought leadership. More ❯
Infrastructure as Code (IaC) practices using tools like CDK or Terraform. Minimum Requirements · 5+ years of experience as a Software Engineer, with at least 2 years in AI/ML or LLM-centric development. · Proven track record with LangGraph, LangChain, or similar orchestration frameworks. · Expert in Python (asyncio, FastAPI preferred). · Hands-on experience building and deploying applications on AWS More ❯
years in strategy, business analysis, or EA, with 5+ years in finance systems. Proven expertise with finance operating models and KPIs (EBITDA, NPV, DSO). Experience with AI/ML in finance (e.g., anomaly detection, predictive AR). Skills & Tools Deep knowledge of SaaS, PaaS, microservices, data analytics, and EA frameworks. Familiarity with IT governance, DevOps, agile methodologies, and financial More ❯
years in strategy, business analysis, or EA, with 5+ years in finance systems. Proven expertise with finance operating models and KPIs (EBITDA, NPV, DSO). Experience with AI/ML in finance (e.g., anomaly detection, predictive AR). Skills & Tools Deep knowledge of SaaS, PaaS, microservices, data analytics, and EA frameworks. Familiarity with IT governance, DevOps, agile methodologies, and financial More ❯
experience with market data feeds, security master, benchmarks, and investment data workflows Knowledge of modern data platforms and tools (Snowflake, dbt, Databricks, AWS/Azure) Experience supporting AI/ML initiatives and advanced analytics Proven ability to influence, educate, and lead across technical and non-technical teams Why This Role? Lead a business-critical function at the intersection of investments More ❯
neural representations, semantic scene understanding, SLAM/camera pose estimation, monocular depth estimation, visual place recognition. Strong software engineering skills in C++ and Python, including performance critical CV/ML code on Linux or embedded platforms. Demonstrated ability to deliver production quality, well tested code in collaborative, fast moving environments. Preferred Qualifications Familiarity with GPU or edge AI acceleration (CUDA More ❯
systems. Transform research into production-ready AI solutions through collaboration with engineering teams. Drive thought leadership through publications and industry engagement. What you'll need PhD in computer science, ML, AI, or equivalent experience. Expertise in large-scale models, AI agent orchestration, benchmarking, and deployment. Proven experience in AI research and leading complex projects. Experience with data enrichment and knowledge More ❯
of both Java and SQL is required. Preferred knowledge of Oracle, Mongo, Hibernate, Spring, Quarkus and Angular. An interest of experience preferred in mobile programming, Cloud computing, AI and Machine Learning. Analytical, keen to learn, develop and explore new technology. Meticulous attention to detail, rigorous and patient with complex financial software systems. What's in it for you If More ❯
that supports the Regulated Industries internal tooling platform. Leverage automation and intelligent workflows to enhance observability, policy enforcement, and team productivity. - Implement AI-Powered Security Workflows: Integrate AI/ML agents-including Microsoft Security Copilot and LLM-based copilots-into operational pipelines for tasks such as incident triage, control validation, and telemetry summarization. Ensure models and agents are used securely More ❯
in space. Integrate AI-based vision, robotic arm motion planning and control, and internal and external control into flight code. Collaborate closely with hardware, systems, robotics, and AI/ML teams to ensure seamless integration. Own architecture decisions and build a scalable, modular, and reusable codebase. Contribute to defining requirements, test plans, and operational procedures. What Were Looking For We More ❯
/or industry specialist. What we look for: Experience, technical consultancy and/or presales with a background in Data Engineering, Data Warehousing or Data Science/AI/Machine Learning. You will work with customers within the enterprise space focused on the Communications, Media and Entertainment vertical. Engage customers in technical sales, challenge their questions, guide clear outcomes More ❯
With engineering and product teams growing across the US, UK, and India, we're building an elite force of innovators ready to redefine what's possible with AI and machine learning. About the Role As an Associate Solutions Engineer, you'll contribute across both pre-sales and post-sales activities, supporting customers as they evaluate, adopt, and scale Auquan More ❯
the gaming industry or a strong passion for game development. Proficiency in Unity game development workflows and its integration with AI/automation solutions. Strong expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, OpenAI, or similar) and their application in game development or backend automation. Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a More ❯
with extensive expertise in various industries, including fintech, e-commerce, logistics, insurance, biotech, cybersecurity, and more. Our world-class team of over 650 experts develop web, mobile, AI/ML, and enterprise solutions for world-renowned companies, including Fortune 500 firms and emerging startups. We have 2 development centers in Europe, a representative office in London, the U.K., and remote More ❯
manage risks, and ensure successful execution against timelines and success criteria. 4. Champion digital enablement and AI adoption within ETF Identify opportunities to automate manual processes, apply AI/ML tools, and deploy analytics to improve efficiency and decision-making. Sponsor proofs of concept and pilot initiatives to test new technologies within ETF workflows. 5. Drive change management and solution More ❯
methodical. Needs to be highly organized and effective in problem solving Business analyst-level knowledge for ERPs such as SAP, Infor, Epicor, and or Oracle Experience with AI/ML platforms, data analytics tools, and SaaS-based products in the manufacturing and distribution sectors Track record of delivering measurable business outcomes with ability to articulate complex technical concepts to both More ❯
Company Background ThreatConnect enables threat intelligence, security operations, and cyber risk management teams to work together for more effective, efficient, and collaborative cyber defense. With ThreatConnect, organizations can infuse ML and AI-powered threat intel and cyber risk quantification into their work, allowing them to contextualize an evolving threat landscape, prioritize the most significant risks to their business, and operationalize More ❯
concepts, storage systems with ability to go deep enough on technical aspects to differentiate between varied data storage services. Has good appreciation and knowledge of advance technologies including AI, ML, IOT and use cases. A day in the life As an Account manager, you will be the owner of your assigned territory and will focus on driving digital transformation through More ❯
skills with both technical and business stakeholders Preferred Experience Ruby on Rails proficiency (our primary backend framework) Intercom platform and API experience or similar customer communication platforms AI/ML technologies knowledge and practical implementation experience Jira, support tools, and workflow automation experience Shopify ecosystem and API familiarity (we're deeply integrated with Shopify) E-commerce or SaaS environment background More ❯
in creating solutions that has cloud, web, mobile app components. In-depth knowledge of cybersecurity, data privacy regulations, and compliance standards. In-depth knowledge of various AI methodologies and learning algorithms. Proven experience in various programming languages like Python, Java, React, C#, domain specific languages, native and cross platform development, etc. Soft Skills Excellent leadership, decision-making, and problem … skills Preferred Qualifications Experience in Telecoms and technology domains preferred Experience in developing private-cloud based software products and platforms Experience in leading edge technologies such like AI/ML, blockchain, multi-band IoT. Track record of successful fundraising or technical due diligence for grant funding and other investors. Relevant MS or PhD degrees Proven experience in Agile, Prince More ❯
