1 to 25 of 45 Machine Learning Jobs in East Sussex

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

vision is to enable better visual storytelling through smart, scalable technology. Backed by a leading private equity firm, they’re expanding rapidly and investing in cutting-edge AI and ML capabilities to take the platform to the next level. The Role: This is an opportunity for an experienced and technically hands-on Staff Software Engineer – AI/ML to take … are looking for someone who has focused on hands-on coding rather than management or other hands-off responsibilities. You’ll architect and build reliable and scalable AI/ML systems, laying the groundwork for a new, dedicated team focused on intelligent product capabilities. With a focus on applied machine learning, generative AI, and cloud-native tools, this … is an opportunity to shape the future of the product and how they use data to solve real-world challenges. What You'll Be Doing: AI/ML Project Ownership Lead the delivery of machine learning initiatives from exploration through to deployment and monitoring. Own the full development cycle for ML systems — including architecture, data pipelines, model training More ❯

include a strong foundation in the social sciences. Technical expertise Knowledge of Python is required, knowledge of R and SQL is an advantage Experience of techniques such as NLP, machine learning, and LLMs is desirable Experience with tools such as Git and Github, Docker and cloud platforms is highly desirable Policy knowledge: Beyond data science, applicants must have More ❯

architectures to building and maintaining robust data platforms across multiple cloud providers. Implementation of secure data processing environments for classified information, create automated deployment pipelines for data applications and ML models, and design comprehensive multi-cloud solutions with robust monitoring systems. Leading technical transformation initiatives, working closely with data engineering teams to support their infrastructure needs, implement DataOps practices, and More ❯

help design and deliver high-quality, scalable features, including AI-enhanced flows, predictive monitoring tools, and automation capabilities powered by Amazon Bedrock, Amazon SageMaker, and other modern AI/ML frameworks. You’ll work cross-functionally to translate product vision into technical outcomes and help lead the adoption of intelligent systems within our platform. If you’re excited to apply … that fuel business success. What you’ll do: Thorough understanding of the needs, problems, and expectations related to Integration Platforms. Collaborate on the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in … willingness to collaborate effectively within a team. A keen focus on improving user experience Nice to have: Experience with Integration Platforms. Familiarity with Amazon SageMaker, Amazon Bedrock, or similar ML/AI platforms (or willingness to learn quickly) Exposure to LLMs, vector databases, or embedding techniques Degree in Computer Science or a related field. What you’ll get in return More ❯

East Sussex, England Permanent - Full Time Job Description An exceptional career opportunity is available to work for a cutting-edge fintech company dedicated to transforming financial services through innovative machine learning solutions. They are at the forefront of AI technology, offering an exciting role where your contributions will directly impact the future of financial products and services. This … is a fantastic chance to advance your career in a dynamic and supportive environment. Senior Machine Learning Engineer Key Skills: We are eager to connect with experienced Machine Learning Engineers, Machine Learning Specialists, or Data Scientists passionate about AI and machine learning. To excel in this position, you should possess many of the … following: Strong understanding of machine learning algorithms and frameworks. Proven experience with Python, TensorFlow, PyTorch, or similar tools. Expertise in developing and deploying machine learning models in a production environment. Experience with data preprocessing, feature engineering, and model evaluation. Proficiency in handling large datasets and optimizing model performance. Knowledge of cloud platforms such as AWS, GCP More ❯

offerings in the market. What you’ll be doing: Designing and maintaining scalable data pipelines and infrastructure to support structured, analysis-ready data Designing and deploying end-to-end machine learning models from data preparation and feature engineering to model training, evaluation, and monitoring Overseeing a team of three data analysts and collaborating closely with business analysis and … of Lumina Intelligence insight platforms. Collaborating with stakeholders to identify opportunities for automation, efficiency, and product innovation through data Staying up-to-date with emerging tools and research in machine learning, AI, and LLMs, bringing new technology into the team’s toolkit and championing responsible use across the business Driving the evolution of the data team including ways … share a vision and influence across functions Strong people leadership skills with a focus on mentoring, providing actionable feedback, and supporting career growth within the team Proven experience with machine learning, LLMs, or other AI-driven systems including deploying, monitoring, and fine-tuning models in production Advanced proficiency in Python for data analysis, machine learning, and More ❯

We are seeking a Data Engineer to help drive the design and development of a robust data infrastructure, through building databases and pipelines that will support our planning processes, Machine Learning use-cases and leadership reporting. As a Data Engineer, you will be part of a team responsible for the development and execution of world-class advanced analytics … projects, leveraging automation and machine learning to enhance and streamline business processes. You will build scalable solutions that benefit our internal customers – from technical design, prototyping, testing, deploying and monitoring production data. The ideal candidate will have the skills to collaborate in a cross-functional environment – planning, operations, finance, forecasting, data science – to test new ideas and challenge … pipelines in a complex data environment. Ability to manage time, prioritize tasks, negotiate requirements in an Agile Framework. Help define best practices for a data ecosystem that will support Machine learning and future AI research. Collaborate with data scientists and business analysts by facilitating their data format and condition requirements Minimum Qualifications: Previous experience in a Data Engineer More ❯

objectives, through the contribution to the development of innovative, data-driven products and analytics. You will help improve business performance in Southern Water through your experience in data science & machine learning and the application of appropriate technology to opportunities identified throughout the business. We prioritise value over everything – and you will be expected to seek out the opportunities … and business Experience or ability to mentor and help develop senior analysts’ development pathways Technical Excellent understanding and application of a broad range of analytical techniques, including supervised & unsupervised learning, optimisation, LLMs etc. Understanding of data security and governance (GDPR etc) Understanding of legal and ethical considerations of AI & automated decision making What Do We Offer? 25 days annual More ❯

C++, etc. Familiar with modern DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: prior experience with Azure and NoSQL Desirable: experience and interest in machine learning, data engineering, and data visualization Cultural Fit: Represent the firm in a professional manner and uphold its values and culture in all interactions Entrepreneurial spirit & strong work More ❯

AI solutions; custom LLMs tailored to integrate seamlessly into enterprise applications, particularly within the financial sector. A company of 10, the Co-Founders have PhDs in the AI/ML field & are looking for their 3rd and 4th Backend Engineers to keep up with client demand for Product Development What You’ll Do Design, develop, and maintain performant services in More ❯

analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for diverse data sources into AWS. Apply statistical and machine learning techniques for predictive, prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop KPIs, and create dashboards and visualizations with Amazon QuickSight. Perform exploratory data analysis … Scientist, preferably with AWS analytics services. Proficiency in AWS analytics tools like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and … statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of AWS ML services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation This is an 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 ❯

Employment Type: Full-time and Permanent Remuneration (London; On-site): £70–90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and … the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

seeking a highly skilled and motivated Data Scientist to contribute to transformative initiatives within the healthcare industry. The ideal candidate will possess a strong background in developing and optimizing machine learning models, specifically within healthcare contexts. We are looking for a results-oriented individual proficient in training and fine-tuning models, building robust, production-ready model inference pipelines … data analysis and data enrichment. Key Responsibilities: Train, fine-tune, and enhance LLM & NLP models using the open-source Python library ecosystem. Experience with LLMs, Generative AI, and deep learning is a significant advantage. Build data science and data engineering pipelines specific to analyzing clinical data, such as extracting information from medical text or images, or integrating uncertain information … from multiple medical data sources. Collaborate with our team on customer-facing projects, utilizing your expertise to create advanced machine learning, deep learning, large models, and time series forecasting pipelines tailored to address specific business needs. Ensure models are validated for issues like bias, overfitting, and concept drift to ensure reliability and effectiveness. Engage directly with customers More ❯

their exciting journey! Our client equips traders with tools that are faster, smarter, and easier to use. This is a fantastic opportunity to join a leading AI company whose Machine Learning product suite creates new trading opportunities through real-time analytics, supported by a world-class, scalable, ultra-low latency architecture. The Data Platform is crucial to all More ❯

the org Operate and evolve our software vulnerability management and bug bounty programs Work cross-functionally to identify risks and improve security posture continuously Support cloud-native app and ML security efforts across Azure and AWS Own AppSec policies, incident response processes, and related KPIs/KRIs Key Skills Required: 5+ years in AppSec or DevSecOps, with strong experience in More ❯

strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools … AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to … such as DP-100 and AI-102 - DESIRABLE Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. More ❯

Forward Deployed Product Engineer (Python) Fully Remote within the UK Up to £160k + Stock + Benefits Series C, Developer Tooling/ML Deployments Join a US scale-up on a mission to empower Engineering teams to deliver their best work, through simplifying the deployment of Machine Learning models As they expand their global footprint, raised Series C … seeking a talented Forward Deployed Engineer to join the UK team! About the Role As a Forward Deployed Engineer you'll collaborate directly with customers to understand challenges, engineering ML-based deployment solutions. You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimisation, scalability & efficiency You’ll work alongside teams that have … joined from world-class tech businesses like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub and Uber Key Responsibilities Partner with customers to identify and address their ML deployment needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud More ❯

and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring practices across distributed systems Evaluate emerging technologies and cloud services for platform enhancement Required Experience & Skills: 7+ years engineering experience … with 3+ years in leadership roles Strong background in both traditional web development and AI/ML systems Experience with our core technologies: Laravel/PHP, Vue.js/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector … orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI services and on-premise model hosting Leadership Skills: Track record of building and scaling engineering teams Strong communication More ❯

someone who has been working within banking or financial sector for some time, but really looking for a more meaningful & purpose-driven business to join. They are investing within Machine Learning & AI to improve digital experiences for their customers, and plan to keep growing the team whilst they move towards their next funding round. The role is remote More ❯

Engineering principles Key Technologies: Snowflake – hands-on expertise in data modelling and best practices Microsoft Azure Data Stack , including: Azure Data Factory Azure Data Lake Storage Azure SQL Azure ML Power BI Experience automating CI/CD pipelines across Snowflake, Power BI, and the Azure stack Knowledge of Data Science, Analytics, and Reporting Design Understanding of Operational vs MI data More ❯

Social network you want to login/join with: Senior Machine Learning Engineer, brighton col-narrow-left Client: Location: brighton, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Senior Machine Learning Engineer Up to £100,000 London (Fully Remote … the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As a Senior Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with … a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop and deploy machine learning models to enhance the analytics platform. Collaborate with cross-functional teams to define and implement AI-driven solutions. Work on innovative, data-driven projects within the crypto space. Stay up to date with the latest trends in More ❯

tools such as Power BI, Tableau, Qlik, or Looker. Strong skills in querying and manipulating data with SQL, R, or Python. The ability to translate complex statistical concepts and machine learning models into visualizations for non-technical stakeholders. #J-18808-Ljbffr More ❯

in the SDLC, support CI/CD pipelines, and ensure testability is part of the design. AI Tools & Automation: Explore, evaluate, and drive the adoption of modern AI/ML tools for test generation, test maintenance, and defect prediction. People & Process Leadership: Mentor junior QA members, enforce best practices, and continuously improve testing strategies and coverage. Metrics & Reporting: Define and … like driving clarity and structure where there is ambiguity. Nice-to-haves Prior experience as a QA manager or team lead. Background in software development. Exposure to AI/ML concepts in a practical or project setting. Why Join Fanvue? Competitive salary and benefits package Work with a talented, mission-driven team dedicated to empowering creators worldwide A culture that More ❯