1 to 25 of 78 Python Jobs in Kent

driven product development. Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic ...

with data scientists, commercial teams, and ops leaders. Hard Skills Required • Software Engineering: Strong in at least one modern language (JavaScript/TypeScript, Java, Python) • Web & Product Development: Frameworks (React, Node.js, Django/Flask) • AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama • Agentic AI: Frameworks (langchain, langgraph, Google ...

Your Experience: Industry experience in DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or Bash Familiar with ML lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus ...

scalable solutions. DevOps & CI/CD: Your experience with Power Platform ALM/CI-CD pipelines, Azure DevOps, and automation tools like PowerShell and Python fits perfectly with their requirement for designing and managing pipelines. Infrastructure as Code: You've used ARM templates and Azure resources, and your cloud architecture ...

detection, and ongoing optimisation Required Experience Proven commercial experience as a Machine Learning Engineer, ideally within Financial Services, FinTech, or a regulated environment Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn) Experience deploying and supporting ML models in production Solid understanding of data pipelines ...

path and kernel-level networking (e.g., XDP, eBPF, dpdk, iptables, nftables) for traffic processing, filtering, and observability. Proficiency in one or more: Java/Python/C Rust/Go (strong preference for Java for control-plane/services). Deep systems design expertise: concurrency, memory management, performance tuning ...

What you'll bring Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying ...

What you'll bring Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying ...

What you'll bring Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying ...

diving into complex source code audits to reveal subtle security vulnerabilities Writing new tools such as fuzzers in languages such as C/C++, Python, Ruby, Go or Java, Tearing apart an undocumented file format or network protocol Coming up with novel techniques to solve unique and interesting security problems ...

serverless and containers). Proven Twilio Flex implementation (custom UI, workflows, voice/SMS routing). Proficiency in GitOps, Infrastructure monitoring, and scripting (Bash, Python). Experience in high-volume telecom or SaaS environments. ...

team grows. What We're Looking For: Proven experience in AI/ML, ideally from a startup or high-growth scaleup environment. Expert in Python and frameworks such as PyTorch or TensorFlow. Experience deploying AI models in production, preferably in cloud environments (AWS, GCP, Azure). Entrepreneurial mindset – able ...

software team and guiding architectural direction. • Deep experience developing modern web applications, ideally having launched a product to market. • Expertise in React, Redux, TypeScript, Python, FastAPI, and SQLAlchemy. • Strong understanding of cloud technologies (AWS preferred). • Excellent grasp of software architecture, design patterns, and scalable system design. • Strong communicator with ...

Technical Skills & Required Expertise The role requires deep hands-on architectural and technical leadership across distributed systems, data platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka ...

design, development, and maintenance of robust data models, dynamic dashboards, and insightful reports using a range of technologies, including SQL Server, Azure Synapse, Python and Power BI. If you have demonstrable experience collating and analysing data, with strong problem solving skills, and are looking for an exciting role that makes ...

What you'll bring Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying ...

What you'll bring Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying ...

What you'll bring Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying ...

What you'll bring Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying ...

APIs for data access Collaborate with traders and developers on data needs Ensure 24/7 pipeline reliability What We're Looking For Strong Python and SQL Experience with trading/market data in production Proven work on real-time, high-volume pipelines Familiar with distributed SQL/NoSQL Bonus ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...