1 to 25 of 42 Contract Machine Learning Jobs in the South East

to succeed. A progressive organisation where you can really make a difference. We a great opportunity for an AI Security Architect Key Responsibilities: * Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. * Develop and own robust enterprise security architecture for AI/… ML systems, CI/CD and data pipelines. * Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs, identifying vulnerabilities, threats … and risks, and providing recommendations for effective mitigation measures for common attack vectors and threats. * Support the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. * Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ More ❯

Senior ML & AI Backend Engineer - Big Data, LLMs & MLOps About the Role We're an ambitious, fast-moving tech company developing next-generation solutions at the intersection of advanced Machine Learning, Big Data, and Large Language Models (LLMs). We're looking for a hands-on Senior ML & AI Backend Engineer to design and build the robust backend … collaborative teams and want your work to have a direct, tangible impact, this is the place for you. What You'll Do Architect and implement scalable backend systems powering ML models and LLMs in production. Design, build, and maintain end-to-end ML pipelines, championing MLOps best practices for deployment, monitoring, and iteration. Develop solutions for big data storage and … processing, ensuring data quality, security, and efficiency. Integrate and optimize both classical ML models and LLMs for real-world use cases. Research and experiment with state-of-the-art algorithms, tools, and frameworks - bringing fresh ideas from prototype to production. Collaborate closely with a cross-functional team of data scientists, engineers, and product stakeholders. Write clean, maintainable, well-tested code More ❯

retention, personalisation, and campaign effectiveness. You'll be part of a collaborative, technically skilled team that combines deep analytical thinking with commercial understanding to solve complex marketing challenges using machine learning and statistical modelling. Key Responsibilities Advanced Analytics & Modelling Design and implement machine learning algorithms and statistical models tailored to the marketing domain Apply techniques such … experimentation strategy Project Delivery & Agile Working Lead and manage data science projects from scoping to delivery Participate in agile ceremonies and demonstrate flexibility in a fast-paced environment Continuous Learning & Innovation Stay up to date with the latest trends in marketing science, machine learning, and data engineering Share knowledge and champion experimentation within the team What We … background in marketing analytics or a clear passion to grow in this domain Proficiency in Python and SQL (a technical test is part of the process) Solid understanding of machine learning, statistical modelling, and experimentation Strong communication skills to engage with business teams and explain complex concepts clearly Experience working with cloud platforms and big data tools, preferably More ❯

improvements. THE ROLE You'll join a skilled data team to lead the build and optimisation of scalable pipelines using DBT, Airflow, and Databricks. Working alongside data scientists and ML engineers, you'll support everything from raw ingestion to curated layers powering LLMs and advanced analytics.Your responsibilities will include: Building and maintaining production-grade ETL/ELT workflows with DBT … and Airflow Collaborating with AI/ML teams to support data readiness for experimentation and inference Writing clean, modular SQL and Python code for use in Databricks Contributing to architectural decisions around pipeline scalability and performance Supporting the integration of diverse data sources into the platform Ensuring data quality, observability, and cost-efficiency KEY SKILLS AND REQUIREMENTS Strong experience with … SKILLS Exposure to LLM workflows or vector databases Experience in the media, content, or publishing industries Familiarity with cloud data platforms (e.g., AWS or Azure) Knowledge of MLOps and ML/data science pipelines HOW TO APPLY To register your interest, please apply via the link or get in touch with your CV. More ❯

parsing pipelines, validations, and rule Python Proficiency: Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning More ❯

culture, enabling self-serve capabilities and empowering business users Introduce scalable data governance frameworks using industry-leading tooling (e.g. Collibra, Alation, Monte Carlo) Oversee the delivery of AI/ML initiatives and advanced analytics use cases in partnership with business and product teams Ensure compliance with regulatory standards (FCA, GDPR) while enabling data innovation Report directly into senior leadership (e.g. More ❯

build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision … using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well … documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine More ❯

experience in data-driven marketing, analytics consultancy or similar Familiarity with quasi-experimental designs and A/B testing frameworks Background in software design, data structures or production-grade ML engineering Technical Toolbox Modelling & data : Python or R, SQL Containerisation : Docker Cloud platforms : AWS, GCP or Azure More ❯

analytics, recommendation systems, and NLP applications. Mentor and guide junior data scientists and analysts. Stay up to date with the latest research, tools, and techniques in data science and machine learning. … What We're Looking For 5+ years of experience in data science, machine learning, or a related field. Strong proficiency in Python (or R) and experience with ML frameworks like scikit-learn, TensorFlow, or PyTorch. Deep experience in building and deploying models at scale. Solid understanding of statistics, experimentation, and data storytelling. Experience working with cloud environments (AWS … adaptable, and collaborative. Why Join Us? Competitive compensation, including meaningful equity. Remote-friendly with flexible working hours. Work on high-impact projects that apply AI to real-world problems. Learning budget for conferences, courses, and books. Supportive, innovative team culture that values curiosity and experimentation. More ❯

skills Full UK work authorization Desirable Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow More ❯

data quality. Experimentation - set up offline metrics and online A/B tests; analyse uplift and iterate quickly. Production delivery - build scalable pipelines in AWS SageMaker (moving to Azure ML); containerise code and hook into CI/CD. Monitoring & tuning - track drift, response quality and spend; implement automated retraining triggers. Collaboration - work with Data Engineering, Product and Ops teams to … job. Review: inspect dashboards, compare control vs. treatment, plan next experiment. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)SQL (Redshift, Snowflake or similar)AWS SageMaker Azure ML migration, with Docker, Git, Terraform, Airflow/ADFOptional extras: Spark, Databricks, Kubernetes. What you'll bring 3-5+ years building optimisation or recommendation systems at scale. Strong grasp of … mathematical optimisation (e.g., linear/integer programming, meta-heuristics) as well as ML. Hands-on cloud ML experience (AWS or Azure). Proven track record turning prototypes into reliable production services. Clear communication and documentation habits. More ❯

business architecture and MACH principles (Microservices, API-first, Cloud-native, Headless). Experience with agile at scale (e.g., SAFe, LeSS). Background in data architecture, analytics, or AI/ML platforms. Define and own the solution architecture and platform tech and data design, aligned with business transformation goals and enterprise architecture principles. Govern architectural standards, patterns, and principles Ensure interoperability … understanding of insurance or regulated financial services. Familiarity with modular business architecture and MACH principles (Microservices, API-first, Cloud-native, Headless) Background in data architecture, analytics, or AI/ML platforms. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of More ❯

A/B tests or causal analyses on pricing levers Excellent communication-able to explain complex models to non-technical audiences Full UK work authorisation Desirable Familiarity with production ML workflows (version control, CI/CD) Background in retail or e-commerce pricing platforms Technical Toolbox Modelling & data : Python, SQL Experimentation : A/B testing frameworks Containerisation : Docker BI & warehousing More ❯

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 More ❯

Job Title: Data Engineer/Software Engineer - AI/ML Research Location: London- UK (Hybrid role) Duration: Contract- Until Dec 25 with a possible extension About the Role We are seeking a Data Engineer/Software Engineer to support a pioneering project focused on LLM agents for research . You will play a key role in onboarding and filtering text … specific data pipelines or filtering frameworks. Knowledge of machine learning concepts. Exposure to front-end technologies like JavaScript is a plus. Background in research or AI/ML project environments is beneficial. More ❯

Security Risk Analyst - Artificial Intelligence (AI) - Machine Learning (ML) Our client, a global insurance organisation, is looking to recruit the services of an experienced Senior Risk Analyst with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) to join our client's Security Risk Management team. This role plays a pivotal … and managing risks related to AI-driven projects across a global enterprise, ensuring new technologies are adopted safely and responsibly. Key Responsibilities Conduct enhanced risk assessments of AI/ML-based initiatives and proof-of-concepts. Evaluate AI systems for potential misuse, abuse, or adversarial threats. Collaborate with stakeholders across IT, Data Privacy, Innovation, and Business to identify and mitigate … models and propose compensatory controls. Present findings to internal governance groups and help shape AI risk frameworks. Required Skills & Experience 10+ years of professional experience, including demonstrable AI/ML expertise. Hands-on knowledge of LLMs, deep learning frameworks (eg, PyTorch, TensorFlow). Advanced Python skills; SQL a plus. Experience articulating risks in business terms and advising on mitigation. More ❯

Key Responsibilities • Design, Architect and deploy AI/ML and Gen AI solutions on OCI using native AI services (e.g., OCI Data Science, AI Services, Gen AI Agents) that are secure, scalable and optimized for performance & cost. • Build agentic AI solutions using frameworks such as LangGraph, CrewAI, AutoGen.• Design & lead the development of machine learning AI/ML … architectural insights and technical credibility. We are looking for an experienced OCI AI Architect to lead the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. This role requires a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal … candidate combines deep technical expertise in AI/ML and Gen AI over OCI with domain knowledge in Finance and Accounting. More ❯

Computing focused teaching both in person, empowering students to thrive academically and professionally. About Us Regent College London is a leading independent higher education provider, offering flexible and inclusive learning across multiple London campuses. We are student focused, digitally forward, and committed to academic excellence reflected in our 93% student satisfaction rating (NSS 2024) The Role You will deliver … and support modules in Computing related disciplines some of these are as follows: Advanced Programming Data Structures and Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing DevOps Data Analysis and Visualisation InfoSec Key Responsibilities Delivering lectures, seminars, and workshops aligned to … module specifications Updating and maintaining engaging digital learning content via VLE and MS Teams Supporting student assessment and providing timely, constructive feedback Advising students on academic and pastoral matters, referring where appropriate Participating in moderation, standardisation, and academic quality assurance Contributing to curriculum development and enhancement of the student experience What We’re Looking For Essential: A Master’s More ❯

Computing focused teaching both in person, empowering students to thrive academically and professionally. About Us Regent College London is a leading independent higher education provider, offering flexible and inclusive learning across multiple London campuses. We are student focused, digitally forward, and committed to academic excellence reflected in our 93% student satisfaction rating (NSS 2024) The Role You will deliver … and support modules in Computing related disciplines some of these are as follows: Advanced Programming Data Structures and Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing DevOps Data Analysis and Visualisation InfoSec Key Responsibilities Delivering lectures, seminars, and workshops aligned to … module specifications Updating and maintaining engaging digital learning content via VLE and MS Teams Supporting student assessment and providing timely, constructive feedback Advising students on academic and pastoral matters, referring where appropriate Participating in moderation, standardisation, and academic quality assurance Contributing to curriculum development and enhancement of the student experience What We’re Looking For Essential: A Master’s More ❯

to generate insights and drive decision-making. The team is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly Overview: Designs and develops creative software solutions, and technical troubleshooting with ability to … Hands-on practical experience delivering system design, application development, testing, and operational stability Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Practical cloud native experience across Internal and External Cloud Providers Experience of Infrastructure as Code Providers e.g. Terraform, and their usage to provision infrastructure across More ❯

events Expertise in one or more of the following: Manufacturing processes deployable by robots (laser cleaning, cutting, additive manufacturing, surface preparation, inspection) Radiation hardening technologies/Radiation tolerant electronics ML/AI/Digital Infrastructure Mechanical systems, sensing/non-destructive testing, actuation mechanisms Dynamic modelling and systems identification Control theory Intelligent control for manipulation or position control Qualifications Required … equivalent experience. For candidates with a software background - experience in ROS, experience with Unreal Engine, experience in the design of human-machine interfaces, experience in applied AI or ML for operations Experience of on-site deployments or demonstrations of research Experience of supporting collaborative research activities Experience of supervising and mentoring others in a research project context Experience of More ❯

events Expertise in one or more of the following: * Manufacturing processes deployable by robots (laser cleaning, cutting, additive manufacturing, surface preparation, inspection) * Radiation hardening technologies/Radiation tolerant electronics * ML/AI/Digital Infrastructure * Mechanical systems, sensing/non-destructive testing, actuation mechanisms * Dynamic modelling and systems identification * Control theory * Intelligent control for manipulation or position control Qualifications Required … equivalent experience. * For candidates with a software background - experience in ROS, experience with Unreal Engine, experience in the design of human-machine interfaces, experience in applied AI or ML for operations * Experience of on-site deployments or demonstrations of research * Experience of supporting collaborative research activities * Experience of supervising and mentoring others in a research project context * Experience of More ❯

sprint reviews, and retrospectives ensuring the team adheres to Scrum principles and practices. Strong understanding of Agile methodologies and Scrum practices. Strong understanding of LLM. An understanding of Azure Machine Learning (ALM)/Azure AI. Strong knowledge of Healthcare & Insurance industry regulations and Data privacy standards. The ability to manage and track project progress using Agile tools and More ❯

Duration: 6 months (with potential for extension) Rate: Inside IR35- Flexible The Role As an AI Security Architect, youll design and implement enterprise-wide security strategies for AI/ML systems, ensuring alignment with best practices, emerging threats, and regulatory requirements. Youll work hands-on and collaboratively with cross-functional teams to embed security into the entire AI/ML … lifecycle from data pipelines to model deployment. Key Responsibilities Architect and implement security controls for AI/ML systems, data pipelines, and CI/CD processes. Conduct security risk assessments and threat modelling on AI/ML workflows. Drive secure coding practices and integrate security into MLOps/DevOps pipelines. Address challenges such as adversarial attacks, data poisoning, and prompt … AI regulations (EU AI Act, NIST AI RMF, GDPR, etc.). Support adversarial testing, model bias assessments, and trustworthiness evaluations. Contribute to training and awareness initiatives on AI/ML security best practices. Act as a key stakeholder in AI-related incident response and mitigation. Your Profile Essential Experience & Skills Proven experience as a Security Architect with direct focus on More ❯

A well-established business is looking for an accomplished Software Engineer with expert Python skills to join its organisation. Please note, this role is Outside IR35. The company embraces hybrid and flexible working so you will be able to work More ❯