226 to 250 of 1,155 Machine Learning Jobs in the South East

pipelines and infrastructure. What you'll be responsible for: Design and implement modern, cloud-native data architecturesincluding data lakes, data warehouses, and data martsthat support advanced analytics, AI/ML, and business intelligence use cases. Oversee robust data ingestion and integration frameworks that ensure data consistency, accuracy, and timeliness across our global systems. Collaborate with business, product, and engineering teams More ❯

for a Machine Learning professional to join a high-performing team within a forward-thinking real estate technology business. What you'll be doing: Build and deploy ML/AI solutions for commercial real estate, including generative AI models, LLMs, and time series analysis. Process and analyse complex CRE datasets, engineer LLM prompts, evaluate outputs, and write production … ready Python code. Collaborate cross-functionally with product and engineering teams, translating business needs into ML tasks and contributing across the full development lifecycle. What we're looking for: Background & Experience: 3+ years in ML/AI with a Master’s (or higher) in a quantitative field such as Computer Science, Statistics, or Engineering. Technical Skills: Proficient in Python and … key ML libraries, with hands-on experience in LLMs, prompt engineering, data processing, and production-level code development. Mindset & Communication: Strong analytical thinking, scientific approach to problem-solving, and clear communication skills; familiarity with commercial real estate is a plus. Location: This is a remote-first role, with occasional travel to the Canary Wharf (London) office 1–2 times per More ❯

days/week in Reading or London) Recruiting on behalf of a leading automotive company Are you an experienced Data Science Manager with a passion for pricing strategy , machine learning , and commercial impact ? We're hiring on behalf of a major UK-based automotive group seeking a Data Science Manager to lead pricing analytics and shape the future … pipelines, and development processes to enable rapid innovation. What We're Looking For Proven track record in pricing analytics , valuation modelling , or similar domains. Strong hands-on experience developing ML solutions in Python . Experience managing and growing high-performing data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with … modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Exposure to Marketing Data Science (e.g., Marketing Mix Modelling, Multi-Touch Attribution More ❯

+ 20% Bonus + £6,000 Car Allowance + 6% Pension +more Are you an experienced Data Science Manager with a passion for pricing strategy , machine learning , and commercial impact ? We're hiring on behalf of a major UK-based automotive group seeking a Data Science Manager to lead pricing analytics and shape the future of their data … processes to enable rapid innovation. What We're Looking For Essential Skills & Experience: Proven track record in pricing analytics , valuation modelling , or similar domains. Strong hands-on experience developing ML solutions in Python . Experience managing and growing high-performing data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with … modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Desirable: Exposure to Marketing Data Science (e.g., Marketing Mix Modelling, Multi-Touch More ❯

Surrey office, x1 day every two weeks. A well-established, product-led business is looking for a Lead Data Scientist to spearhead innovation and drive measurable value through advanced machine learning, experimentation, and the development of production-grade models. Sitting within a cross-functional data team, this is a hands-on leadership role with the autonomy to shape … a small team of data scientists, guiding them through delivery while remaining actively involved in technical implementation and experimentation. This is a unique opportunity for someone passionate about building machine learning systems that go beyond prototypes — models … that deliver real-world commercial outcomes in a data-rich, regulated environment. Key Responsibilities Lead a high-performing team of data scientists to deliver cross-functional, impactful AI/ML initiatives Design and implement predictive models and machine learning solutions for core business areas Build and productionise models in collaboration with data engineers and platform teams Apply advanced More ❯

AI-driven analytics platforms. Champion compliance to data governance, privacy, and security standards (GDPR, ISO 27001, NIST). Provide technical executive-level availability and aid to renewal in AI, ML, and scalable cloud data platforms. Define ETL/ELT strategies and optimise cloud resources for performance and cost efficiency. Develop proposals in collaboration with the sales team for AI and … government stakeholders to address complex challenges using AI. Clearly communicate complex technical concepts to non-technical stakeholders. EXPERIENCE & SKILLS REQUIRED Expertise in solution design, data engineering, and AI/ML platform construction. Good with artificial and machine learning systems (Google Vertex AI, Azure ML, AWS SageMaker) and contemporary data tools (BigQuery, Databricks, Snowflake, Spark). Good grasp of … accountable artificial intelligence, ethics, and model explainability. Proficient in integrating artificial intelligence with API-first, microservices, and event-driven designs. Experienced with end-to-end AI/ML solutions, governance, AI roadmaps, and regulatory compliance. Technical presales, proposal writing, cognitive services, and AI automation expertise. Engages senior managers in AI change; runs seminars and PoCs; offers business and government customers More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

define analytics goals. Develop strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for analysis and pattern recognition. Develop KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to uncover insights. Collaborate with data engineers … s degree in relevant fields. Experience as a Data Scientist, preferably with AWS. Proficiency in AWS analytics tools. Understanding of data modeling, ETL, and warehousing. Skills in statistical analysis, machine learning, and programming languages like … Python, R, or Scala. Experience with SQL, NoSQL, and visualization tools. Strong analytical and problem-solving skills. Experience with social media analytics and big data technologies. Knowledge of AWS ML services and data security practices. Excellent communication skills and attention to detail. Compensation: This is an equity-only position, offering a 1% stake in the company, providing a unique opportunity More ❯

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 … 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. … 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 machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and More ❯

About the role Join our Optimization team at Taktile as a Full-Stack Engineer. You will build isolated, scalable data warehouses for finance data on AWS. Develop operational, ML/AI and visualizations tools to help customers derive value from their data. Your contributions will directly enhance our automated decisioning platform, allowing users to improve financial decision policies at scale … What You'll Do Build customer facing data interfaces with React to manage and communicate decision policy performance Develop data-backed tools for improving policy performance, such as training ML models on historical data and backtesting at scale. Design and develop scalable RESTful APIs using Python on AWS, leveraging services such as Lambda, S3 and SQL. Optimize data warehouse efficiency … Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and More ❯

exploration to improve business value & growth through the application of data science techniques. These predictive models created will feed critical business infrastructure, offering a fantastic platform to hone your machine learning skills with direct impact on business objectives. You will work as part of a high-performing data science and insight team with ownership of models and the … modelling eco-system. To be successful in this role, you'll be experienced in running and leading a team, but also hands-on and passionate about building the latest machine learning predictive models. You will also want to drive the end of goal of each project to ensure the application of each model is efficient for current business … is valuable, but this is primarily a Python shop. Experience with things like CI/CD pipelines, Docker or similar, cloud hosting, good software engineering practices – we have an ML Ops team you'll need to be familiar with why these things are good and how to use/do them Experience working in an agile software development environment Strong More ❯

Microsoft Azure services. Lead end-to-end development of predictive models (e.g., fall prediction, infection prevention) using Azure Machine Learning. Collaborate with developers and product managers to embed ML outputs into dashboards and APIs via Power BI and Azure tools. Ensure transparency and compliance of models in alignment with healthcare data privacy standards (e.g., GDPR, NHS DSP Toolkit). … Mentor junior team members and foster a collaborative, ethical data science culture. What You’ll Bring: Substantial experience in a senior or lead data science role, delivering production-grade ML models. Hands-on experience with Azure-based data pipelines and machine learning services. Advanced proficiency in Python (for ML) and SQL (for data manipulation). Deep expertise in … supervised and unsupervised ML techniques, benchmarking design, and statistical analysis. Strong experience with Microsoft Azure stack: AML, Data Factory, Synapse, Databricks, Blob Storage/Data Lake. Familiarity with Power BI for report automation and data insight delivery. Knowledge of model explainability tools (e.g., SHAP, LIME) and responsible AI practices. Git proficiency, including use of hooks and pre-commit workflows. Excellent More ❯