senior web engineer

Mindrift

<div>
 
 Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.
 
 
 
 In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.
 
 
 This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
 
 
 
 What We Do
 
 
 
 The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
 
 
 This is a freelance role for a Tendem project. As a
 
 Senior Python Data Scraping Engineer
 
 , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets
 </li>
 <li>
 Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements
 </li>
 <li>
 Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior
 </li>
 <li>
 Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery
 </li>
 <li>
 Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required)
 </li>
 <li>
 Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
 </li>
 <li>
 Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential
 </li>
 <li>
 Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
 </li>
 <li>
 Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
 </li>
 <li>
 Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
 </li>
 <li>
 Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
 </li>
 <li>
 Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
 </li>
 <li>
 Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
 </li>
 <li>
 Strong attention to detail and commitment to data accuracy
 </li>
 <li>
 Self-directed work ethic with ability to troubleshoot independently
 </li>
 <li>
 A link to GitHub is a plus
 </li>
 <li>
 English proficiency: Upper-intermediate (B2) or above (required)
 
 
 </li>
 </ul>
 
 Project time expectations
 
 
 
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 
 
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $45 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>

Senior Python Data Scraping Engineer (Freelance)

<div>We&rsquo;re seeking a future team member for the role of Java Full Stack Engineer with AI-driven development exposure to join our Conventional Trust Platform team. This role is located in Manchester .
In this role, you&rsquo;ll make an impact in the following ways:
<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 
</div></li></ul><div></div>To be successful in this role, we&rsquo;re seeking the following:
<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>

Senior Vice President, Full-Stack Engineer

Senior Specialist, Full-Stack Engineer

Raytheon

<div>Date Posted:
2026-03-18
Country:
United Kingdom
Location:
Manchester, Lancashire
Position Role Type:
Onsite
Raytheon UK have a full time, perm opportunity for a Senior Data Engineer to join our specialist teams in Manchester, Gloucester or London working fully onsite.
As Senior Data Engineer, you'll be part of our experienced software dev function, working in a cross-functional Agile team. The Data Engineering role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use.
We have opportunities for Data Engineers at every level within a team, so your Recruiter will discuss the great opportunities for development or challenges we offer based off your professional profile.
Due to the interesting work we do and the sector this team is working in, we require all candidates to currently hold eDV clearance.
In this area of Raytheon UK we provide DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations.
Responsibilities<ul><li>
Build data pipelines that clean, transform, and aggregate data from disparate sources</li><li>
Collaborate with stakeholders and other engineers</li><li>
Contribute to the completion of milestones associated with your project</li><li>
Contribute to continuous improvement within your team</li><li>
Collaborate with your peers on technical direction within your team</li></ul>
Required Experience:<ul><li>
Strong analytic skills related to working with unstructured datasets</li><li>
Python (PySpark, Pandas, PyArrow)</li><li>
Distributed data processing (Apache Spark)</li><li>
Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi)</li><li>
Cloud services (AWS, Azure or GCP)</li><li>
Messaging / Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services)</li><li>
SQL and NoSQL</li><li>
Storage (HDFS, Iceberg, Elastic, S3, Data Lake)</li><li>
Containerisation and orchestration (Docker / Kubernetes / Openshift)</li><li>
Testing frameworks and best practices</li><li>
Use of Code repositories, familiarity with branching strategies, pull requests and merge processes</li></ul>
We appreciate you may not be an expert in every area above - we can support with training and development in some areas! Please do make an application and we will identify where we can best support your growth specific to your application.<div>
Benefits &amp; Work Culture
Benefits:<ul><li>
Contributory Pension Scheme (up to 10.5% company contribution)</li><li>
6 times salary &lsquo;Life Assurance&rsquo; with pension</li><li>
25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days</li><li>
Company bonus scheme (discretionary)</li><li>
Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others</li><li>
Enhanced sick pay</li><li>
Enhanced family friendly policies including enhanced maternity, paternity &amp; shared parental leave</li></ul>
Work Culture:<ul><li>
37hr working week</li><li>
Early 1.30pm finish Friday, start your weekend early!</li><li>
Up to 5 paid days volunteering each year.</li><li>
Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team.</li></ul></div> 
About us
At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. 
 
Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world.
RTX 
Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses &ndash; Collins Aerospace Systems, Pratt &amp; Whitney, and Raytheon. 
Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over &pound;2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We&rsquo;re investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales.
#LI-AS3
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
Privacy Policy and Terms:</div>

Senior Data Engineer

The University of Manchester

<div>
 We are seeking a motivated and collaborative individual to join our team as a Senior Platform Engineer. This role offers an exciting opportunity to contribute to the management of the Cloud estate (Azure, GCP, AWS) and maturing of DevOps to enable development teams to deliver cloud services at pace, within a dynamic and inclusive environment.
 
 
 
 You will be responsible for:
 
 
 
 <ul>
 <li>
 Applying Infrastructure as Code (IaC) principles to maintain consistency and reproducibility in cloud infrastructure.
 </li>
 <li>
 Developing a reliable and scalable cloud-based infrastructure service to support continuous and secure delivery of software solutions that meet the evolving needs of key stakeholders.
 </li>
 <li>
 Supervising undergraduate and postgraduate dissertations.
 </li>
 <li>
 Contributing to the identification, evaluation and adoption of tools, technique and processes to create a robust and cost-effective cloud-based platform.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate:
 
 
 
 Essential Criteria:
 
 
 
 <ul>
 <li>
 Hands-on experience with one or more major cloud platforms such as Azure, AWS, or GCP.
 </li>
 <li>
 Familiarity with automating the delivery of Infrastructure as Code (IaC) using Terraform.
 </li>
 <li>
 Comfort with code repository management tools like GitLab, GitHub, or Bitbucket.
 </li>
 <li>
 A strong understanding of CI/CD pipelines and their role in modern development practices.
 
 
 
 </li>
 </ul>
 
 Desirable Criteria:
 
 
 
 <ul>
 <li>
 Familiarity with collaboration tools like Atlassian products (Jira, Confluence).
 </li>
 <li>
 Experience in building automation or integrations with platforms like ServiceNOW.
 </li>
 <li>
 A knack for engaging stakeholders and fostering collaboration across teams.
 
 
 
 </li>
 </ul>
 We value transferable skills and real-world experience as much as formal qualifications.
 
 
 
 Our benefits include:
 
 
 
 <ul>
 <li>
 Generous employer contribution pension
 </li>
 <li>
 29 days annual leave plus bank holidays, along with Christmas closure
 </li>
 <li>
 Ride to work and EV car scheme available
 
 
 
 </li>
 </ul>
 For more information, please see University of Manchester Benefits. You can also find information on our Flexible and Hybrid working here.
 
 
 We are an open place of enquiry and challenge. We embrace and celebrate difference, diversity and debate, and we pride ourselves on being a place of education, learning and community where we are able, within the law, to question and test received wisdom, express new ideas and explore controversial or unpopular topics and opinions. Find out more from our Freedom of Speech Policy.
 
 
 
 Enquiries About The Role, Shortlisting And Interviews
 
 
 
 Name: Nisar Khan
 
 
 Email: nisar.khan@manchester.ac.uk
 
 
 
 General enquiries and administrative support
 
 
 
 lewis.burne@manchester.ac.uk
 
 
 
 Technical and job portal support
 
 
 
 https://jobseekersupport.jobtrain.co.uk/support/home
 
 
 
 Applications close at midnight on the closing date.
 
 
 
 Further particulars (with person specification) linked below.
</div>

Senior Platform Engineer

Maxwell Bond

<div>
 
 
 AI Systems Engineer
 
 
 
 
 Location:
 
 Hybrid (Manchester)
 
 
 
 Salary:
 
 &pound;60,000 - &pound;75,000
 
 
 
 
 
 
 The Opportunity
 
 
 
 
 
 
 This is a great opportunity for an experienced Software Engineer with hands-on experience building AI-powered products and systems.
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 
 What You'll Be Doing
 
 
 
 
 
 <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>
 
 
 
 
 
 Experience and Skills
 
 
 
 
 
 
 
 Essential
 
 
 
 
 
 <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>
 
 
 
 
 
 Highly Desirable
 
 
 
 
 
 <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>
 
 
 
 
 
 Who This Will Suit
 
 
 
 
 
 
 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:
 
 
 
 
 <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>
 
 
 
 
 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.
 
 
 
 
 
 
 Why Apply?
 
 
 
 
 
 <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>
 
 
 
 
 They are committed to moving quickly on this with interview slots available.
 
 
 
 
 
 Please apply today.
 
</div>

Artificial Intelligence Engineer

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
What we offer
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Software Engineer, Data Infrastructure & Acquisition - Manchester, United Kingdom

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