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Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorganChase within the Corporate Sector, Infrastructure Platforms team you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. • Securely enable and manage services for the Azure and Google Cloud standard software solution, design, development, and technical troubleshooting., • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance., • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical troubleshooting to breakdown solutions and solve technical problems of basic complexity., • Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision‑making in service of secure, stable application development., • Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems., • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards., • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by qualifications, capabilities, and skills:, • Practical cloud native experience including knowledge of Terraform with experience in Azure and Google Cloud, • Formal training or certification on software engineering concepts and applied experience, • Hands‑on practical experience in system design, application development, testing, and operational stability, • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages, • Demonstrated ability to code in one or more languages (Python), • Experience across the whole Software Development Life Cycle, • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security, • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.), • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security experience using enterprise‑authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs. • Knowledge of security best practices in cloud environments, • Desire to learn and continuously grow, • Experience with writing and managing Azure Policy, • Experience with writing and managing GCP Organization Policy, • Cloud certifications (e.g., GCP, Azure, Hashicorp) J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. Full timePosting Date #J-18808-Ljbffr

As a Lead Software Engineer at JPMorganChase within the Infrastructure Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. • Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Develops secure, high-quality production code, and reviews and debugs code written by others, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems, • Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident and root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise authorized AI-assisted development and automation capabilities, to improve the value realized by automation . Adds to team culture of diversity, opportunity, inclusion, and respect • Formal training or certification on software engineering concepts and advanced applied experience, • Advanced proficiency in one or more programming language(s) and framework(s) (e.g., Python, Django, Java, etc.), • Proficiency in automation and continuous delivery methods, and hands-on practical experience delivering system design, application development, testing, and operational stability, • Proficient in all aspects of the Software Development Life Cycle, with an advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • Working knowledge of SDLC toolchains and proven experience applying enterprise-authorized AI-assisted development and automation capabilities to increase the value realized from automation (e.g., improved efficiency, reliability, maintainability, and measurable throughput/quality outcomes)., • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.), • Demonstrated ability to drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, accelerated test strategy, incident and root-cause analysis support), while establishing and enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team., • Proven expertise in designing, deploying, and managing containerized distributed applications, with a strong understanding of orchestration and scaling strategies Hands-on experience with AWS Infrastructure as a Service (IaaS), including provisioning and operating core compute, storage, and networking services (e.g., EC2, EBS, S3, VPC), • Demonstrated ability to architect and manage infrastructure on AWS Cloud, utilizing Infrastructure as Code (IaC) tools like Terraform to automate and optimize deployment processes Proven experience in designing and implementing control plane architectures for large-scale applications, focusing on efficient resource management, orchestration, and system reliability to support complex, distributed systems In-depth knowledge of the financial services industry and their IT systems • Hands-on experience with relational databases, particularly CockroachDB or similar distributed databases, ensuring data consistency, reliability, and performance in distributed environments, • Practical cloud native experience #J-18808-Ljbffr

Our client is a leading global investment bank. JOB DESCRIPTION As a Lead Software Engineer at our client within our Commercial and Investment Bank, Payments Technology team you are an integral part of an agile team that works to enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for delivering critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions or break down technical problems. Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices. Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution. Develops secure high-quality production code, and reviews and debugs code written by others. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies. Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Continuously update technologies and patterns to keep systems current. Design and build solutions that avoid single points of failure using scalable architectural patterns. Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and hands-on experience in software engineering, including system design, application development, testing, and operational support. Proficiency in back-end technologies (e.g., Java, Python Springboot, Node.js ) with experience building microservices-based applications; for full-stack roles, proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular). Demonstrated ability to independently solve design and functionality challenges with minimal supervision. Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON. Hands-on experience designing and building scalable applications using SQL and NoSQL databases. Understanding of application resiliency Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices Proficiency in automation and continuous delivery methods. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Preferred qualifications, capabilities, and skills Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management. Strong problem-solving, analytical, and communication skills. Ability to drive broader impact by sharing and contributing best practices. Experience in the banking domain. AWS certification. ABOUT US Our client is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM OUR CLIENT's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. TPBN1_UKTJ

You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorganChase within CIB Payments, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. With a payments platform deployed to private cloud using Kubernetes and moving to AWS, you'll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. • Executes standard software solutions, design, development, and technical troubleshooting, • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance, • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications, • Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation, • Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity, • Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development, • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards., • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems, • Adds to team culture of diversity, opportunity, inclusion, and respect., • Hands-on practical experience in system design, application development, testing, and operational stability, • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages, • Knowledge of distributed technologies such as Kafka for messaging and NoSQL databases such as Cassandra/MongoDB, • Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals, • Experience across the whole Software Development Life Cycle, • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs., • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations., • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security, • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.), • Proficiency in Object oriented concepts, Design Patterns, Java, Spring, is essential, • Exposure to cloud technologies and building cloud native applications, • Understanding of payments systems, Core Cash Management, key processing cut-off times and payments processing desirable. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. #J-18808-Ljbffr

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorganChase within CIB Payments, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. With a payments platform deployed to private cloud using Kubernetes and moving to AWS, you’ll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. • Executes standard software solutions, design, development, and technical troubleshooting, • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance, • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications, • Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation, • Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity, • Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development, • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards., • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems, • Adds to team culture of diversity, opportunity, inclusion, and respect., • Hands-on practical experience in system design, application development, testing, and operational stability, • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages, • Knowledge of distributed technologies such as Kafka for messaging and NoSQL databases such as Cassandra/MongoDB, • Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals, • Experience across the whole Software Development Life Cycle, • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs., • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations., • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security, • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.), • Proficiency in Object oriented concepts, Design Patterns, Java, Spring, is essential, • Exposure to cloud technologies and building cloud native applications, • Understanding of payments systems, Core Cash Management, key processing cut-off times and payments processing desirable. #J-18808-Ljbffr

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Evantis Recruitment FTE Bournemouth, UK 5 Days onsite a week Mandatory We are seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, building, and maintaining robust data pipelines that power predictive algorithms and business insights. Your work will directly impact the bank’s ability to manage cash efficiently and make data-driven decisions. End-to-End Data Pipeline Development • Design, implement, and maintain scalable ETL/ELT pipelines for collecting, transforming, and delivering data across systems., • Ensure data quality, reliability, and timeliness throughout the pipeline. Data Integration & Movement • Develop secure and efficient solutions for data movement between internal and external systems., • Work with both structured and unstructured data sources. Analytical Insights • Analyze large datasets to extract actionable insights and present findings in a business-friendly format., • Collaborate with data scientists and business stakeholders to identify opportunities for impactful analysis. Algorithm Support • Provide clean, well-structured data to support predictive models and algorithms for cash forecasting and fund movement., • Work closely with product, engineering, and business teams to understand requirements and deliver solutions., • Document processes and share knowledge with team members., • Proven experience in designing and building data pipelines (ETL/ELT) using modern technologies (Python, SQL, Spark, Airflow, etc.)., • Strong analytical skills with the ability to interpret complex data and deliver business value., • Experience integrating data from multiple sources and systems., • Familiarity with cloud data platforms (AWS, Azure, GCP) and big data technologies., • Ability to work independently and collaboratively in a fast-paced environment., • Excellent communication and documentation skills., • Awareness or experience with financial concepts, especially in banking or cash management., • Experience supporting predictive analytics or machine learning workflows., • Knowledge of data governance, security, and compliance in financial services. Mid‑Senior level Full‑time Other Technology, Information and Media Referrals increase your chances of interviewing at Evantis Recruitment by 2x Get notified about new Data Engineer jobs in Bournemouth, England, United Kingdom. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Join one of the world's most innovative financial institutions and help shape the future of real-time liquidity management. At JPMorganChase, you'll work on technology that matters — platforms that give senior executives instant visibility into the firm's cash, credit, and collateral positions across the globe. This is your opportunity to grow your engineering career while contributing to solutions that directly impact how one of the world's largest financial institutions manages risk. As a Software Engineer III at JPMorganChase within the Cash Account Platform team, you will be part of a global Agile engineering team based in Bournemouth, building and evolving a suite of applications that support firmwide intraday liquidity management. You will contribute to real-time dashboards, cash forecasting, and funding functions that serve senior executives and institutional clients. Your work will directly support the firm's strategic push toward cloud-native architecture and modern engineering practices. The Cash Account Platform is a firm-wide strategic initiative that provides real-time visibility into Cash, Credit, and Collateral balances at the Firmwide, Line of Business, and Institutional Client level. As part of the Bournemouth development team, you will collaborate with engineers across multiple global locations, contributing to a platform that is central to the firm's risk management, oversight, and reporting capabilities. • Execute software solutions across design, development, and technical troubleshooting, thinking beyond conventional approaches to solve complex engineering challenges, • Create secure, high-quality production code and maintain algorithms that operate synchronously with critical financial systems, • Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to drive continuous improvement of software applications, • Proactively identify hidden problems and patterns in data, using insights to improve coding hygiene and system architecture, • Contribute to software engineering communities of practice and events that explore new and emerging technologies, • Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards, • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Champion a team culture of diversity, opportunity, inclusion, and respect, • Formal training or certification on software engineering concepts and proficient applied experience, • Hands-on practical experience in system design, application development, testing, and operational stability, • Proficiency in Java 8 and above, including strong working knowledge of the Java ecosystem, • Solid understanding of the Spring framework and its ecosystem, • Hands-on practical experience with relational database management systems, • Experience developing, debugging, and maintaining code in a large-scale environment using modern programming languages and database querying languages, • Demonstrated understanding of the Software Development Life Cycle and agile methodologies, including continuous integration and delivery, application resiliency, and security practices, • Demonstrated knowledge of software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobile, • Hands-on experience with Unix/Linux operating systems, • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • Familiarity with modern front-end technologies such as JavaScript and React, • Experience with DevOps practices including continuous integration and continuous deployment tools such as Jenkins and SonarQube, • Exposure to job scheduling tools such as Autosys or Control-M, • Exposure to cloud technologies and cloud-native development patterns, • Exposure to NoSQL databases J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Build real-time financial platforms that shape how a global firm manages intraday liquidity and cash at scale. #J-18808-Ljbffr

Allianz Management Services Ltd is seeking a Senior ML Ops Engineer to design, build and operate production‑level data and machine‑learning services in a cloud environment. You will deploy and monitor real‑time endpoints, implement IaC with Terraform, and lead CI/CD pipelines with Azure DevOps or GitHub Actions. The role combines container orchestration, Python development, and data platform automation in a hybrid London/UK context. #J-18808-Ljbffr

Responsibilities: Work closely with the Data Science team to introduce automation and governance in their machine learning pipelines Manage the infrastructure and orchestration pipelines needed to automatically train and bring machine learning models to production Implement solutions to monitor��

Why it's interesting:Build and scale production AI/LLM systems, including RAG and agentic workflowsOwn the full engineering lifecycle, from Python development through to AWS deploymentWork with Python, FastAPI, AWS, Docker, CI/CD and infrastructure-as-codeSolve real engineering challenges around

We are a Machine Learning/Data heavy team with a focus on the following areas:Multimodal & Content Embeddings - Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space. Demonstrated St

Machine Learning Deep Learning Pytorch Data Science Tensorflow. Collaborate on projects with other Top of Funnel engineers, applying Machine Learning to solve discovery, relevance, and recommendation problems. Build and deploy sophisticated machine learning models to improve experiences for millions

As a Lead Machine Learning Engineer at Faculty, you’ll drive the technical strategy, architecture, and deployment of cutting-edge, secure AI systems across high-stakes domains. Establishing company-wide standards and best practices for safe, reliable, and ethical machine learning deployment at sca

We are looking for a Senior Software Engineer with expertise in software optimization for gaming consoles and CPU/GPU architectures to join our Machine Learning team. Keep up to date with the latest advancements in Deep Learning, Reinforcement Learning, Generative AI, and related fields, through con

This role focuses on developing and deploying 3D machine learning applications, surrogate models, and digital-twin-enabled workflows for the turbomachinery multi-disciplinary optimization (MDO) process chain. Senior Aeromechanics Machine Learning Engineer. The engineer will also prepare training mat

As our second ML hire, you'll work directly with our ML Scientist to define engineering standards and infrastructure that will shape everything that follows. Write well-documented code; participate in code reviews and help set the engineering bar. BSc or MSc in an engineering discipline, with demons

Strong understanding of machine learning engineering principles and modern software engineering practices. Partner with Machine Learning Scientists to deploy deep learning models and deliver meaningful customer and business outcomes. You'll tackle challenging problems across recommendation systems,

We are recruiting an experienced AI & Machine Learning Engineer for an exciting contract opportunity focused on developing, deploying and optimising scalable AI and machine learning solutions within a cloud-based environment. AI & Machine Learning Engineer - Contract. Specialisms: Artificial Intelli

Senior Machine Learning Engineer – AI Innovation Teams. Fitch Ratings is seeking a Senior Machine Learning Engineer to join our new AI Innovation teams in London—where we're building the AI-powered future of financial analysis from the ground up. High visibility to senior leadership, mentorship

As a Senior Machine Learning Engineer, you’ll know how to engineer beautiful code in Python and take pride in what you produce. Machine Learning Engineer, preferably with a consulting background. We push the boundaries of technology with expertise in machine learning, data engineering, and analyti

Senior Machine Learning Engineer. As a Senior Machine Learning Engineer, you’ll lead the development and deployment of cutting‑edge AI systems for our diverse clients. Defining and implementing best practices and standards for deploying machine learning at scale across the business.

Machine Learning Solutions Engineer.

Machine Learning Engineer - Fully Remote | Upto $85/hr London, England, United Kingdom. Apply professional engineering judgment to realistic.

Lead Machine Learning Engineer. Lead Machine Learning Engineer. MSc or PhD in Computer Science, Machine Learning, or Signal Processing.

This Edtech Start-up in London is building something transformative in education using cutting-edge machine learning. Collaborate with engineers and product managers to bring ML features to life.

Experience designing, training, and validating machine learning and deep learning models, including supervised and unsupervised approaches. This full-time Senior AI & Data Scientist (or Machine Learning Engineer) role is a hybrid position based in England, United Kingdom, with flexibility for partia

An established consultancy is seeking a Machine Learning Engineer (Contract) to support a global education organisation on an ongoing AI workspace project. Strong proficiency in Python with experience in machine learning deployment and MLOps tooling.

We're looking for a Machine Learning Engineer to join our Radius squad. Partner closely with senior and staff ML engineers, and be part of an active group of machine learning practitioners in your mission and across Spotify. You have a strong background in machine learning, theory, and practice.

Role Summary We are seeking a Staff Machine Learning Engineer interested in the development of end-to-end models that unify perception, prediction, and planning in a single learning system. Computer Science, Robotics, or a related field 5+ years of experience building and deploying large-scale ML s

Experience applying machine learning to engineering-heavy or physical-world domains such as mechanical engineering, construction, transportation, HVAC, energy systems, or robotics. You’ll work on challenging applied machine learning problems spanning optimization, simulation, and real-world engine

Are you passionate about applying AI to solve complex real-world challenges in safety-critical environments? As an AI Engineer within ALTEN, you'll play a key role in developing cutting-edge artificial intelligence and machine learning capabilities that support high-impact programmes across the defe

Build machine learning, deep learning and computer vision models. Expertise in Machine Learning, Deep Learning, Computer Vision and LLMs. Akkodis is currently recruiting for two experienced AI/ML Engineers to design, develop and deploy secure AI solutions for autonomous and mission-critical systems.

You hold a PhD (or equivalent experience) in machine learning, computational biology, or structural biology, with a proven track record of applying machine learning to real-world protein structure or drug discovery challenges. Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech

MLOps, Machine Learning Engineering, Data Engineering, or DevOps supporting production ML workloads. The MLOps Engineer builds and operates the platform and pipelines that take machine learning and AI models from development into reliable production use. Machine Learning Operations (MLOps) Engineer.

Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. You believe engineering isn't finished until it\’s shipped and stable. We

Proficiency in Python and a strong understanding of software engineering principles (OO design, patterns, testing) applied to Machine Learning. We are looking for a Senior Machine Learning Engineer to join a cross functional team, focussing on growing our product algorithmic recommendations within J