data engineer

artificial intelligence engineer Jobs in Manchester

artificial intelligence engineer

senior ai engineer (ai/ml/r&d) Jobs in Manchester

senior ai engineer (ai/ml/r&d)

ai engineer

ai engineers

associate backend software engineer python

Anaplan

<div><div><p>At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.</p>
<p>
What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture.</p>
<p>
Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.</p>
<p>
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating<i> </i>our wins &ndash; big and small.</p>
<p>
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together!</p></div><p>
You will join the Predictive Intelligence engineering team within Anaplan, building the backend services that power the Syrup platform and Anaplan's forecasting and predictive solutions. The team owns the production services behind forecasting, scoring, and data processing, along with the pipelines and infrastructure that bring ML and AI capabilities to enterprise customers. As a backend engineer, you will build and maintain core services across this stack, writing clean, well-tested Python while growing your craft alongside experienced engineers. This role reports to the Director of Engineering for Predictive Intelligence and works closely with backend engineers, data scientists, and platform partners.</p>
<p><b>
Your Impact</b></p>
<ul>
<li>Build and maintain backend services, APIs, and data processing components across the Predictive Intelligence stack.</li>
<li>Contribute to the forecasting, scoring, and data processing services that deliver predictive insights, with attention to performance, reliability, and code quality.</li>
<li>Write clean, well-tested, maintainable Python and follow established engineering best practices.</li>
<li>Work with data scientists and ML engineers to integrate models into production services and support the pipelines around them.</li>
<li>Participate in code reviews and design discussions, and incorporate feedback to grow as an engineer.</li>
<li>Take part in on-call rotations as you ramp, and help monitor, diagnose, and resolve issues across services and pipelines.</li>
<li>Collaborate across the team to deliver well-scoped features end to end.</li>
</ul>
<p><b>Your Qualifications</b></p>
<ul>
<li>Proven commercial professional software engineering experience building backend services.</li>
<li>Solid proficiency in Python, with experience writing well-structured, tested production code.</li>
<li>Experience with relational databases and SQL (e.g., Postgres); familiarity with data warehousing technologies such as Snowflake is a plus.</li>
<li>Exposure to containerized services and at least one major cloud (AWS, GCP, or Azure).</li>
<li>Basic understanding of how ML and AI systems run in production and the data pipelines that support them.</li>
<li>Familiarity with version control (Git) and collaborative development practices.</li>
<li>Demonstrated ability to take ownership of well-scoped systems and deliver against requirements with some ambiguity.</li>
<li>Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.</li>
</ul>
<p><b>Preferred Skills</b></p>
<ul>
<li>Experience with data orchestration tools (e.g., Prefect, Airflow, dbt).</li>
<li>Familiarity with MLOps tooling such as MLflow, or experience supporting ML workloads in production.</li>
<li>Exposure to LLM or agentic application patterns and AI service integration.</li>
<li>Experience operating services on Kubernetes.</li>
<li>Background in forecasting, demand planning, or retail/supply chain domains.</li>
</ul><div><p><b>
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
</b></p><p>We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper &ndash; this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!</p>
<p>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.</p>
<p><b>
Fraud Recruitment Disclaimer</b></p>
<p>
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.</p>
<p>
Anaplan does not:</p>
<ul>
<li>Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.</li>
<li>Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.</li>
</ul>
<p>All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.</p></div></div><p></p>

Associate Backend Software Engineer (Python)

Maxwell Bond

<div>
 <p>
  <strong>
   AI Systems Engineer
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Hybrid (Manchester)
 </p>
 <p>
  <strong>
   Salary:
  </strong>
  &pound;60,000 - &pound;75,000
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Opportunity
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a great opportunity for an experienced Software Engineer with hands-on experience building AI-powered products and systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is not a traditional Machine Learning or Data Science role. You won't be training foundation models or developing new LLM architectures. Instead, you'll be focused on designing and building the software systems that leverage modern AI technologies to solve real-world business problems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You'll work on AI-native products, intelligent workflows, retrieval systems, agentic architectures and automation platforms, helping shape the next generation of AI-powered software.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Be Doing
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Designing and building AI-powered applications and services
  </li>
  <li>
   Developing intelligent workflows and agentic systems
  </li>
  <li>
   Integrating LLMs into production software products
  </li>
  <li>
   Building retrieval, context and memory systems
  </li>
  <li>
   Designing robust APIs and backend services
  </li>
  <li>
   Evaluating AI performance, reliability and quality
  </li>
  <li>
   Implementing monitoring, testing and fallback mechanisms for AI-driven features
  </li>
  <li>
   Working closely with engineering leadership to define best practices for AI-native development
  </li>
  <li>
   Contributing to architectural decisions across a modern cloud-based platform
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience and Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Strong commercial experience as a Software Engineer, Backend Engineer or Full Stack Engineer
  </li>
  <li>
   Experience building applications that utilise Large Language Models (LLMs)
  </li>
  <li>
   Experience designing and delivering production-grade software systems
  </li>
  <li>
   Strong understanding of software architecture and system design principles
  </li>
  <li>
   Experience working with cloud platforms (AWS, Azure or GCP)
  </li>
  <li>
   Strong programming skills in TypeScript, Python or similar modern languages
  </li>
  <li>
   Experience integrating external APIs and services
  </li>
  <li>
   Ability to make pragmatic technical decisions and communicate trade-offs
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Highly Desirable
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience building AI agents or agentic workflows
  </li>
  <li>
   Experience with Retrieval Augmented Generation (RAG)
  </li>
  <li>
   Experience working with vector databases and semantic search
  </li>
  <li>
   Knowledge of context management and memory architectures
  </li>
  <li>
   Experience evaluating and testing AI outputs in production environments
  </li>
  <li>
   Experience designing AI-assisted automation systems
  </li>
  <li>
   Exposure to frameworks and tooling within the modern AI ecosystem
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who This Will Suit
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role would suit someone who has moved beyond simply using AI tools in their development workflow and has experience building software products that actively leverage AI capabilities. You may currently be working as:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Senior Software Engineer
  </li>
  <li>
   Backend Engineer
  </li>
  <li>
   Full Stack Engineer
  </li>
  <li>
   AI Systems Engineer
  </li>
  <li>
   Applied AI Engineer
  </li>
  <li>
   Platform Engineer with AI experience
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Most importantly, you'll be excited by the challenge of building reliable, scalable software systems that incorporate AI as a core part of the product experience.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Apply?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Work on genuinely innovative AI-native products
  </li>
  <li>
   Influence technical direction and architecture
  </li>
  <li>
   Join a team investing heavily in modern AI technologies
  </li>
  <li>
   Solve complex engineering challenges at scale
  </li>
  <li>
   Opportunity to help shape the future of AI-enabled software development
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  They are committed to moving quickly on this with interview slots available.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Please apply today.
 </p>
</div>


Artificial Intelligence Engineer

<div><div><p>At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.</p>
<p>
What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture.</p>
<p>
Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.</p>
<p>
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating<i> </i>our wins &ndash; big and small.</p>
<p>
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together!</p></div><p>
You will join the Predictive Intelligence engineering team within Anaplan, building the backend services that power the Syrup platform and Anaplan's forecasting and predictive solutions. The team owns the production services behind forecasting, scoring, and data processing, along with the pipelines and infrastructure that bring ML and AI capabilities to enterprise customers. As a senior backend engineer, you will design and build core services across this stack &mdash; writing clean, performant, well-tested Python that the rest of the team can build on. This role reports to the Director of Engineering for Predictive Intelligence and works closely with backend engineers, data scientists, and platform partners.</p>
<p><b>
Your Impact</b></p>
<ul>
<li>Design and implement scalable, fault-tolerant backend services and APIs as a core contributor across the Predictive Intelligence stack.</li>
<li>Build and evolve the forecasting, scoring, and data processing services that deliver predictive insights, with a focus on performance, scalability, and cost efficiency.</li>
<li>Write clean, well-tested, maintainable Python and establish patterns that make the codebase easier for the whole team to extend, operate, and reason about.</li>
<li>Partner with data scientists and ML engineers to integrate models into production services and build the data and inference pipelines around them.</li>
<li>Take part in on-call rotations and own the operational health of high-availability production services, including incident response and post-incident improvements.</li>
<li>Lead design reviews and code reviews, raising the quality bar across the team and mentoring mid-level and junior engineers.</li>
<li>Identify and drive cross-cutting platform improvements that benefit multiple services and teams.</li>
</ul>
<p><b>Your Qualifications</b></p>
<ul>
<li>Extensive professional software engineering experience building production backend services.</li>
<li>Strong proficiency in Python, with a track record of writing performant, well-tested, maintainable production code.</li>
<li>Hands-on experience operating containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure).</li>
<li>Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres.</li>
<li>Working understanding of how ML and AI systems run in production, including the data and model pipelines that support them.</li>
<li>Demonstrated ability to work autonomously, take ownership of meaningful systems, and deliver against ambiguous requirements.</li>
<li>Track record of being on-call for production services and contributing to operational excellence.</li>
<li>Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.</li>
</ul>
<p><b>Preferred Skills</b></p>
<ul>
<li>Hands-on MLOps experience, including model training pipelines, deployment workflows, and tooling such as MLflow.</li>
<li>Experience productionizing data science or research code into stable, observable services.</li>
<li>Familiarity with data orchestration tools (e.g., Prefect, Airflow, dbt) and modern data lake architectures.</li>
<li>Experience with gradient-boosted tree models, neural networks, or optimization solvers in production.</li>
<li>Exposure to LLM or agentic application patterns and AI service integration.</li>
<li>Background in forecasting, demand planning, or retail/supply chain domains.</li>
</ul><div><p><b>
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
</b></p><p>We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper &ndash; this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!</p>
<p>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.</p>
<p><b>
Fraud Recruitment Disclaimer</b></p>
<p>
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.</p>
<p>
Anaplan does not:</p>
<ul>
<li>Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.</li>
<li>Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.</li>
</ul>
<p>All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.</p></div></div><p></p>

Senior Backend Software Engineer (Python)

<div><p>We&rsquo;re seeking a future team member for the role of <b>Java Full Stack Engineer </b><b>with AI-driven development exposure </b>to join our Conventional Trust Platform team. This role is located in <b>Manchester </b>.
</p><p>In this role, you&rsquo;ll make an impact in the following ways:
</p><ul><li><div>Define and execute the enterprise Java full stack technology strategy, aligned with business transformation goals.
</div></li><li><div>Champion AI driven development practices (e.g., AI-assisted coding, automated testing, remediation, and code quality).
</div></li><li><div>Drive modernization initiatives including cloud migration, microservices, event-driven architectures, and API-led platforms.
</div></li><li><div>Establish best practices for secure, scalable, and resilient application design.
</div></li><li><div>Oversee end-to-end delivery of complex platforms across backend (Java) and frontend technologies.
</div></li><li><div>Ensure high-quality engineering outcomes using CI/CD, automation, and DevSecOps practices.
</div></li><li><div>Lead large-scale programs focused on velocity, reliability, and cost efficiency.
</div></li><li><div>Drive backlog prioritization, technical debt reduction, and vulnerability remediation<br>
</div></li></ul><div></div><p>To be successful in this role, we&rsquo;re seeking the following:
</p><ul><li><div>Senior full stack engineer with Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred
</div></li><li><div>Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling.
</div></li><li><div>Strong hands-on experience with AI Development tools like Claude CLI, Windsurf
</div></li><li><div>Solid understanding of the ML lifecycle; exposure to model risk or governance is a plus.
</div></li><li><div>Strong Java development skills, including experience with multi-threaded and mission critical applications
</div></li><li><div>Strong Exposure and knowledge of front end technologies such as React and Angular
</div></li><li><div>Ability to solve ambiguous problems with scalable, innovative solutions.
</div></li><li><div>Clear communicator who can influence cross-functional partners.
</div></li><li><div>Excellent collaboration and communication skills, able to engage effectively with engineers, architects, and executives.</div></li></ul></div>

Specialist, Full-Stack Engineer

Senior Vice President, Full-Stack Engineer

Senior Specialist, Full-Stack Engineer

Obsidian Security

<div><div><p>Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world's largest Fortune 1000 and Global 2000 companies.</p>
<p>
Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens&mdash;Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they're transforming how SaaS is secured.</p>
<p>
With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time.</p>
<p>
With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness.</p></div><h3 class="jobSectionHeader"><b>
About the Role</b></h3>
<p><b>
As a Data Engineer at Obsidian, you'll:</b></p>
<ul>
<li>Own and evolve the data pipelines behind one of Obsidian's core products</li>
<li>Build and maintain data transformations and orchestrated jobs that turn raw signal into attributed, enriched data at scale</li>
<li>Keep customer analytics datasets accurate, fresh, and reliable across multiple data stores</li>
<li>Extend and improve our data attribution engine, including its rule-based and LLM-assisted curation stages</li>
<li>Make occasional changes to the Go service that exposes this data through our APIs, working alongside backend engineers</li>
<li>Collaborate with product managers, backend engineers, and the teams who turn this data into customer-facing functionality</li>
<li>Champion data correctness, observability, and clean, testable transformations</li>
<li>Participate in code reviews and technical discussions to continuously raise engineering standards</li>
</ul><h3 class="jobSectionHeader"><b>What's in it for you</b></h3>
<ul><li>Own the data foundations of a core product used by enterprises worldwide</li>
<li>Work alongside a talented, supportive team in a collaborative culture</li>
<li>Grow your skills across modern data tooling, streaming systems, and LLM-assisted workflows</li>
<li>Gain exposure to a cloud-agnostic platform spanning AWS and GCP</li>
<li>Be part of an innovative, growing company where your work makes a real impact</li>
<li>Enjoy hybrid working, with supported remote working and great office spaces in Cheltenham and Manchester</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills and Experience:</b></h3>
<ul><li>3&ndash;6 years of experience in a data engineering or software engineering role</li>
<li>Strong SQL and hands-on experience building production data pipelines</li>
<li>Experience with a modern data orchestrator such as Dagster, Airflow, or similar</li>
<li>Proficiency with a data transformation framework such as dbt</li>
<li>Proficiency in Python</li>
<li>Familiarity with Git and CI/CD tooling such as GitLab CI/CD</li>
<li>Familiarity with relational databases (e.g., Postgres) and cloud data warehouses</li>
<li>A bias toward data quality, testing, and maintainable, well-documented work</li>
<li>Experience collaborating in a team environment and adapting to changing requirements</li>
</ul><h3 class="jobSectionHeader"><b>Desirable Experience</b></h3>
<ul><li>Experience with Databricks/Spark or other large-scale analytics platforms</li>
<li>Exposure to event/streaming systems such as Kafka</li>
<li>Existing Go experience for occasional API changes</li>
<li>Familiarity with containerization and orchestration (Docker, Kubernetes)</li>
<li>Exposure to LLM-assisted data workflows</li>
<li>Experience with cloud platforms (AWS or GCP) and object storage (S3/GCS)</li>
<li>Exposure to observability tooling such as Grafana or Prometheus</li></ul></div>

Data Engineer

Explore 68+ Associate backend software engineer python in Manchester this July. Find roles across top companies and apply now to boost your career.