As a Senior AI Engineer at PoliceAI, you will lead the design, development, and deployment of AI-enabled products, translating policing needs into technical solutions. You will work with multidisciplinary teams to build secure, maintainable, and scalable services, and support the testing, evaluation, and validation of AI products.
As Head of AI, you will lead the development and implementation of AI strategies, governance, and capabilities at LPPA, a leading pension administration company. You will work closely with the CTO and executive team to identify and deliver AI opportunities that enhance operational efficiency, service quality, and member outcomes. Key responsibilities include building the AI team, establishing governance frameworks, and fostering AI adoption across the organization.
Lead or contribute to drug discovery projects by integrating medicinal chemistry expertise with AI-driven platforms. Collaborate closely with machine learning scientists to refine predictive models, guide programs from hit identification to candidate selection, and manage external research partners. The role emphasizes innovation in structure-based and fragment-based design within a dynamic, interdisciplinary environment.
This role involves leading drug discovery programs using AI-first approaches, combining computational chemistry expertise with machine learning to accelerate the design of novel therapeutics. The candidate will guide projects from initiation to candidate selection, collaborate across disciplines, and help shape the evolution of Isomorphic Labs' AI platform. Opportunities exist for both scientific leadership and people management, with a focus on innovation in molecular design and strategic problem-solving.
Lead the development of cutting-edge RF systems for applications in satellite and high-altitude platform communications. Drive innovation from concept to delivery by collaborating with clients and internal teams on novel wireless solutions. Mentor engineers and shape technology strategy in a diverse, problem-solving environment.
Leads signal processing design and integration projects across wireless, telecoms, audio, and semiconductor domains, driving technical innovation and client solutions. Provides engineering leadership, contributes to IP development, and shapes system architecture for complex, multidisciplinary systems. Works on diverse challenges from satellite communications to indoor navigation and custom DSP acceleration.
This role involves leading the development and execution of the Connected Store channel within Tesco Media, focusing on in-store media innovations such as digital screens and experiential activations. The Senior Channel Manager will drive end-to-end innovation projects from concept to scale, using data-driven insights to enhance customer engagement at the point of purchase. Collaboration with cross-functional teams and external partners is key to delivering scalable, commercially impactful retail media solutions.
This role involves leading end-to-end data science projects to enhance customer personalisation for major retail clients like Tesco UK. You'll work with large-scale transactional data, apply machine learning techniques, and design A/B tests to deliver scalable, data-driven solutions. The position emphasizes collaboration with cross-functional teams and translating complex insights for both technical and non-technical stakeholders.
As a Data Scientist at SRT Marine Systems, you will work on developing and evaluating ML models for maritime and security-based problems, including anomaly detection and track pattern recognition. You will collaborate with developers and engineers to integrate these models into user-facing features and build scalable data pipelines.
The Data Scientist role involves solving maritime and security-based problems using machine learning and data science techniques. Responsibilities include developing and evaluating ML models for anomaly detection, track pattern recognition, and integrating model outputs into user-facing features. The role is part of a collaborative, data-orientated team focused on enhancing civil defence security through advanced automated security infrastructures.
Lead the go-to-market strategy for Databricks in EMEA Financial Services, focusing on Banking, Capital Markets, and Insurance. Drive executive engagement, develop scalable sales plays, and act as a thought leader through content and events. Collaborate across product, sales, marketing, and partners to grow revenue and expand market presence in a highly regulated sector.
This role involves leading the AI research function, setting the research roadmap, and building a high-performing team. Responsibilities include hands-on development of LLMs, vision models, and agentic systems, as well as continuous improvement and evaluation of models. The position requires significant applied AI research experience and strong leadership skills.
This role involves owning the fraud strategy and building AI-driven fraud prevention capabilities in a fast-growing digital financial services company. Responsibilities include developing fraud classifiers, anomaly detection, and network analysis solutions, while partnering with various teams to embed effective fraud controls.
This role involves using Machine Learning to extract signals and insights from vast datasets of market data, building and testing models, and developing new trading strategies. The work is collaborative, with opportunities to apply ML across different asset classes and improve research, engineering, and operational workflows.
Design and build machine learning infrastructure for training, inference, and large-scale research workflows in a high-performance trading environment. Collaborate with researchers and engineers to productionise ML models and improve experimentation tooling. Work at the intersection of software engineering, mathematics, and cutting-edge ML systems.
As a Machine Learning Team Lead, you will guide a team of ML engineers in developing and deploying cutting-edge speech recognition models. You will mentor the team, ensure robust and scalable solutions, and drive the adoption of best practices in software engineering and ML.
As a Machine Learning Team Lead, you will guide a team of ML engineers in developing and deploying cutting-edge speech recognition models. Your responsibilities include technical oversight, mentoring, and ensuring best practices in software engineering and model deployment.
