1 to 25 of 26 Machine Learning Jobs in Southampton

workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You’ll play a key role... As a Senior Staff ML Scientist , you’ll be at the pinnacle of our Individual Contributor (IC) career track, serving as the foremost technical authority in Machine Learning within Monzo. You’ll shape foundational ML strategy and platforms that support Operations and influence the design and delivery of ML solutions across the business. You will work cross-functionally with senior leadership, engineering teams, and business stakeholders to define and execute our long-term ML strategy. ...

most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. We're looking to add a Machine Learning Engineer to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working … Amazon Tech Talks: What you'll be doing: Design modular and scalable real time data pipelines to handle huge datasets Understand and implement custom ML algorithms in a low latency environment Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently What ...

usability. 5+ years of engineering experience focused on Machine Learning, AI, and Data Science. Hands-on production experience with LLMs, PyTorch, ML pipelines, and modern prompt engineering frameworks. Strong skills in Python development, including building microservices and working with event-driven architectures. Proficiency in designing and consuming RESTful … GraphQL APIs. Experience with AWS or Azure ML services (e.g., SageMaker, Bedrock, Azure ML) and cloud-native development. Experience with PostgreSQL and MongoDB or similar relational and NoSQL databases. A solid grasp of system design, scalability, and performance optimization in ML-driven applications. A pragmatic, test-driven approach and experience ...

impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; Hi, I'm Andra, Director of Data at Airalo … data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside ...

goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Design original computational STEM problems … Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field. You have at least 5 years of Machine Learning experience with proven business impact. Strong programming skills in Python (numpy, pandas, scipy, sklearn). Solid understanding of numerical methods and computational algorithms. ...

practical experience in applied AI or machine learning Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.) Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production Solid understanding of cloud technologies, containerisation … building scalable AI applications Ability to integrate AI/ML models into real-world applications, focusing on usability and performance Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment Experience working with large datasets, particularly in relation to demand and supply forecasting ...

resolution. 2. AI-Powered Virtual Agents & Automation Develop and optimize AI-driven virtual agents within Salesforce and external platforms. Utilize Einstein AI, NLP, and machine learning to enhance case deflection and automate customer support . Implement Conversational AI chatbots integrated with Live Chat, WhatsApp, and external messaging platforms … Channel Routing, and case automation . Familiarity with third-party AI, automation, and chatbot platforms outside Salesforce . Knowledge of API integrations, RPA, and machine learning-driven automation . Soft Skills & Experience Passionate about customer experience, AI, and digital transformation . Comfortable working directly with clients , understanding their ...

other professional qualifications, with structured training, mentorship, and learning opportunities. About the role: We are seeking an AI/ML Engineer to join BPM’s Enterprise Technology Solutions team. This role is for a builder — someone who doesn’t just experiment with AI but makes it work inside … helping BPM move faster, work smarter, and stay ahead in a rapidly changing industry. Key Responsibilities: Model Development : Design and evaluate AI/ML models tailored to BPM use cases (e.g., tax AI bot, Copilot extensions). Data Engineering : Prepare and manage structured and unstructured datasets, ensuring quality inputs ...

proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. You are proficient in SQL and database operations for data manipulation and analysis. ...

Jenkins, or CircleCI). Comfortable with standard version control workflows (Git) and Linux CLI tools. Experience using, integrating, or tutoring others with AI/ML or LLM-powered testing/coding solutions in Ruby projects. Familiarity with containerization technologies (Docker), automated deployment, and scripting within Ruby environments. Strong skills ...

enable our data driven approach, and: Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases. Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost. … offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits here ...

Pulsar, Python Experience with networking and security concepts Interest or experience with marketing technologies Interest or experience with big data, data analytics, AI and machine learning Ireland (Dublin) or UK (London or Milton Keynes ...

unstructured data * Data ingest, transformation and persistence technologies * Agile delivery & CI/CD environments * Stakeholder engagement across technical and non-technical teams * AI/ML data applications Experience within Defence/National Security environments Skills and experience: * Experience within Defence, National Security or Public Sector environments * DDIL/constrained environments ...

unstructured data * Data ingest, transformation and persistence technologies * Agile delivery & CI/CD environments * Stakeholder engagement across technical and non-technical teams * AI/ML data applications Experience within Defence/National Security environments Skills and experience: * Experience within Defence, National Security or Public Sector environments * DDIL/constrained environments ...

leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have … home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Unlimited access to an expert financial advisory Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career ...

clean slate. Big purpose: Your work directly improves access to information for underserved communities. Modern stack: Microservices, Python, FastAPI, React, Azure, AI/ML - all in play. Ownership: Shape the architecture and engineering culture from day one. Hybrid freedom: Mostly remote, with occasional travel to meet the team. What ...

scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science ...

Absinthe (GraphQL) and Oban (Job Processing). Knowledge of DevOps practices and deployment pipelines. Experience working in the SaaS or FinTech industry. AI/ML/LLMs, understanding of agentic architectures, workflow optimisation, prompt engineering What we can offer you: Tenure Gifts - Vouchers, extra holiday and sabbaticals for each year ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

t. You will also be involved in developing and testing and solutions in strategically and tactically significant applications and use cases, including file protocols, machine learning, object storage, and high-performance computing at customer sites and in the lab. You will work directly with customers, and various business ...

engineers, making build-vs-buy decisions and technology stack selections. Develop technical roadmaps balancing innovation, scalability, security, and time-to-value. Drive AI/ML Product Development: Own end-to-end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi-modal AI systems. Translate business requirements … into technical specifications, API contracts, data schemas, and system integration patterns. Guide model selection, evaluation criteria, and deployment strategies for ML models in production environments. Champion MLOps practices including model versioning, monitoring, performance tracking, and continuous improvement loops. Manage Complex Data Platform Initiatives: Lead product planning for data lake/ ...

help B2B finance teams to scale their revenue collection infrastructure. The team behind Sequence has decades of experience building and operating category-defining marketplace, machine learning, fintech, and enterprise software companies. We are no ordinary start-up; the maturity of our leadership and technology means we are operating … your architectural decisions affect performance as volume increases. Drive impact on a small team . We've built an engineering culture around collaboration, learning, and shipping. You'll have significant influence on what we build, how we build it, and how we work together. This is a great ...

prioritisation) Omni-channel decisioning (real-time & outbound) Decision governance, explainability, regulatory awareness Strong stakeholder management & Agile delivery Lead NBA Data Scientist Design and optimise ML models driving NBA decisioning. Key Skills: Pega CDH adaptive models Strong MLB/RTIM/arbitration logic knowledge Advanced Python & ML development A/… people with a supportive culture, rooted in our values and driven by our purpose. Promoting a culture of inclusion, collaboration, well-being, and learning and development. Providing increased agility and flexibility within our hybrid working model Investing in employees’ growth through ongoing training and development Autonomy to take ownership ...

talent in place to scale safely Collaborate with the Decision Science team to maximise value from our internal and external data through cutting-edge ML models Partner closely with key stakeholders including Capital, Impairments and Forecasting, Financial Health (Collections and Recoveries), Finance, Second Line Credit Oversight Be a member … offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits here #LI-REMOTE ...

grade code, conduct code reviews, and guide the transition from concept to scalable solution. Capability Building: Mentor participants, energise the AI Guild, and curate learning resources to strengthen skills and foster a culture of responsible experimentation. Stakeholder Engagement: Partner with product, data, and technology teams to align initiatives with … Impact: Track and communicate outcomes, insights, and recommendations to senior stakeholders, informing roadmap decisions and future investment. About You Proven experience in AI/ML engineering, software development, and technical leadership. Strong understanding of modern AI techniques (LLMs, agentic systems, orchestration frameworks). Ability to write production-grade code ...